Deals · scored for Aarav — Bengaluru family office
Showing 1–50 of 51 · every row links to its sources
Sample size: n = 51Showing 1–50 of 51. Every row links to its sources.
91Relevance 91/100 for this profile. Act now: scores 80+ (or forced up by a watchlist or adjacency override). Worth a look this week. Open the row for the breakdown.
RapidCanvas🔴 Act nowAct now: scores 80+ (or forced up by a watchlist or adjacency override). Worth a look this week.$29.0M· Series B· AI Applications· Bengaluru· 16 OctSame layer as Sarvam AI (tracked company) · Bengaluru, primary geography · 63th pct cheque for Series B (all sectors) (n=20); investor tier 100th pct (Accel India); 6 sources
✓ 6 sourcesVerified: 6 independent publications reported this round and agree on the key facts.Economic Times Tech — Startups ↗+5
✓ 6 sourcesVerified: 6 independent publications reported this round and agree on the key facts.
RapidCanvas provides an AI platform combining AI agents with human expertise to help enterprises build and deploy custom AI applications.
Sector fitAI Applications → enterprise AI platform relates to applied AI24/30
Stage fitSeries B, adjacent to mandate10/20
Cheque fit$29M, within ±50% of $500K–$20M5/10
Tracked investorAccel India (existing), tracked
46Relevance 46/100 for this profile. Relevant: scores 40–59. A partial fit; worth a skim. Open the row for the breakdown.AdGraam🟡 RelevantRelevant: scores 40–59. A partial fit; worth a skim.$316K· Seed· AI Applications· 15 OctSeed, in mandate · AI Applications → creative intelligence platform relates to applied AIsingle sourceOnly one publication has reported this round so far. Treat the numbers as provisional until a second source confirms.VCCircle ↗
single sourceOnly one publication has reported this round so far. Treat the numbers as provisional until a second source confirms.
AdGraam is building an AI-powered platform and studio bringing together creative research, ideation, generation, competitor intelligence, performance intelligence, and iteration for brands.
89Relevance 89/100 for this profile. Act now: scores 80+ (or forced up by a watchlist or adjacency override). Worth a look this week. Open the row for the breakdown.RevRag AI🔴 Act nowAct now: scores 80+ (or forced up by a watchlist or adjacency override). Worth a look this week.$2.5M· Seed· AI Applications· Bengaluru· 14 OctCustomer to Sarvam AI (tracked company) · AI Applications → multilingual AI agents matches vernacular AI and agents · Seed, in mandate✓ 2 sourcesVerified: 2 independent publications reported this round and agree on the key facts.Inc42 ↗+1
✓ 2 sourcesVerified: 2 independent publications reported this round and agree on the key facts.
RevRag AI builds multilingual AI agents that operate within the apps of banks, lenders, fintech and insurtech companies as digital relationship managers.
Sector fitAI Applications → multilingual AI agents matches vernacular AI and agents
82Relevance 82/100 for this profile. Act now: scores 80+ (or forced up by a watchlist or adjacency override). Worth a look this week. Open the row for the breakdown.Parallel Loop🔴 Act nowAct now: scores 80+ (or forced up by a watchlist or adjacency override). Worth a look this week.$6.6M· Seed· AI Applications· 14 OctSeed, in mandate · 3one4 Capital (lead), tracked✓ 3 sourcesVerified: 3 independent publications reported this round and agree on the key facts.Entrackr ↗+2
✓ 3 sourcesVerified: 3 independent publications reported this round and agree on the key facts.
Parallel Loop is an AI operating partner that works with mid-market and large enterprises to integrate AI into their existing technology, organisational context, and workflows.
69Relevance 69/100 for this profile. High: scores 60–79. A strong fit with this mandate. Open the row for the breakdown.Clueso🟠 HighHigh: scores 60–79. A strong fit with this mandate.$10.0M· Series A· AI Applications· San Francisco· 13 OctSeries A, in mandate · $10M, within $500K–$20M✓ 4 sourcesVerified: 4 independent publications reported this round and agree on the key facts.Inc42 ↗+3
✓ 4 sourcesVerified: 4 independent publications reported this round and agree on the key facts.
Clueso provides an AI-powered platform that helps businesses create and update videos for marketing, customer education, onboarding, training and internal operations.
87Relevance 87/100 for this profile. Act now: scores 80+ (or forced up by a watchlist or adjacency override). Worth a look this week. Open the row for the breakdown.Desible.ai🔴 Act nowAct now: scores 80+ (or forced up by a watchlist or adjacency override). Worth a look this week.$3.3M· Seed· AI Applications· Bengaluru· 7 OctCustomer to Sarvam AI (tracked company) · AI Applications → AI agents (primary match) · Seed, in mandatesingle sourceOnly one publication has reported this round so far. Treat the numbers as provisional until a second source confirms.Entrackr ↗
single sourceOnly one publication has reported this round so far. Treat the numbers as provisional until a second source confirms.
Desible.ai provides an agentic workflow orchestration platform for banks, NBFCs and insurance companies to automate customer engagement, servicing, operations and compliance workflows.
Sector fitAI Applications → AI agents (primary match)30/30
Stage fit
80Relevance 80/100 for this profile. High: scores 60–79. A strong fit with this mandate. Open the row for the breakdown.CurvetAI🟠 HighHigh: scores 60–79. A strong fit with this mandate.$622K· Pre-seed· AI Applications· Pune· 6 OctCustomer to Sarvam AI (tracked company) · Pre-seed, in mandate · $622K, within $500K–$20M✓ 2 sourcesVerified: 2 independent publications reported this round and agree on the key facts.Entrackr ↗+1
✓ 2 sourcesVerified: 2 independent publications reported this round and agree on the key facts.
CurvetAI provides an AI workspace that brings multiple AI models onto a single platform for users to compare and combine workflows.
29Relevance 29/100 for this profile. Context: scores 20–39. Market background, not a mandate fit. Open the row for the breakdown.SiMa.ai⚪ ContextContext: scores 20–39. Market background, not a mandate fit.$150M· Undisclosed· AI Applications· 3 OctAI Applications → physical AI (closely related to applied AI) · 95th pct cheque for Undisclosed × AI Applications (n=10); no ranked investor; 1 sourcesingle sourceOnly one publication has reported this round so far. Treat the numbers as provisional until a second source confirms.backfillBackfill: collected from historical articles to build the baseline, not from the live daily run.Entrackr ↗
single sourceOnly one publication has reported this round so far. Treat the numbers as provisional until a second source confirms.backfillBackfill: collected from historical articles to build the baseline, not from the live daily run.
Sector fitAI Applications → physical AI (closely related to applied AI)
25Relevance 25/100 for this profile. Context: scores 20–39. Market background, not a mandate fit. Open the row for the breakdown.Prodocv AI⚪ ContextContext: scores 20–39. Market background, not a mandate fit.undisclosed· Undisclosed· AI Applications· 3 OctAI Applications → null (core sector missing sub-sector) · Amount undisclosed (neutral, not penalised)single sourceOnly one publication has reported this round so far. Treat the numbers as provisional until a second source confirms.backfillBackfill: collected from historical articles to build the baseline, not from the live daily run.Entrackr ↗
single sourceOnly one publication has reported this round so far. Treat the numbers as provisional until a second source confirms.backfillBackfill: collected from historical articles to build the baseline, not from the live daily run.
48Relevance 48/100 for this profile. Relevant: scores 40–59. A partial fit; worth a skim. Open the row for the breakdown.Unveilr AI🟡 RelevantRelevant: scores 40–59. A partial fit; worth a skim.undisclosed· Pre-seed· AI Applications· 1 OctAI Applications → AI Application Layer is applied AI · Pre-seed, in mandatesingle sourceOnly one publication has reported this round so far. Treat the numbers as provisional until a second source confirms.backfillBackfill: collected from historical articles to build the baseline, not from the live daily run.Inc42 ↗
single sourceOnly one publication has reported this round so far. Treat the numbers as provisional until a second source confirms.backfillBackfill: collected from historical articles to build the baseline, not from the live daily run.
Unveilr AI operates an AI application layer platform for B2B customers.
Sector fitAI Applications → AI Application Layer is applied AI
87Relevance 87/100 for this profile. Act now: scores 80+ (or forced up by a watchlist or adjacency override). Worth a look this week. Open the row for the breakdown.Dextr AI🔴 Act nowAct now: scores 80+ (or forced up by a watchlist or adjacency override). Worth a look this week.$6.7M· Seed· AI Applications· 24 SeptAI Applications → AI agents (primary match) · Seed, in mandate✓ 2 sourcesVerified: 2 independent publications reported this round and agree on the key facts.Economic Times Tech — Funding ↗+1
✓ 2 sourcesVerified: 2 independent publications reported this round and agree on the key facts.
Dextr sells AI agents to hotels, resorts, and spas to handle guest management, voice AI, back-office operations, staff management, sales, and marketing.
Sector fitAI Applications → AI agents (primary match)
62Relevance 62/100 for this profile. High: scores 60–79. A strong fit with this mandate. Open the row for the breakdown.ByteAsk🟠 HighHigh: scores 60–79. A strong fit with this mandate.$1.0M· Pre-seed· AI Applications· 24 SeptAI Applications → Application Layer matches applied AI · Pre-seed, in mandatesingle sourceOnly one publication has reported this round so far. Treat the numbers as provisional until a second source confirms.backfillBackfill: collected from historical articles to build the baseline, not from the live daily run.Inc42 ↗
single sourceOnly one publication has reported this round so far. Treat the numbers as provisional until a second source confirms.backfillBackfill: collected from historical articles to build the baseline, not from the live daily run.
Sector fitAI Applications → Application Layer matches applied AI
64Relevance 64/100 for this profile. High: scores 60–79. A strong fit with this mandate. Open the row for the breakdown.Ema🟠 HighHigh: scores 60–79. A strong fit with this mandate.$77.0M· Series B· AI Applications· 23 SeptAI Applications → enterprise AI is applied AI primary match · 98th pct cheque for Series B (all sectors) (n=20); investor tier 100th pct (Accel India); 3 sources✓ 3 sourcesVerified: 3 independent publications reported this round and agree on the key facts.Economic Times Tech — Funding ↗+2
✓ 3 sourcesVerified: 3 independent publications reported this round and agree on the key facts.
Sector fitAI Applications → enterprise AI is applied AI primary match
58Relevance 58/100 for this profile. Relevant: scores 40–59. A partial fit; worth a skim. Open the row for the breakdown.Demoverse🟡 RelevantRelevant: scores 40–59. A partial fit; worth a skim.$600K· Pre-seed· AI Applications· 22 SeptAI Applications → Application Layer matches applied AI · Pre-seed, in mandatesingle sourceOnly one publication has reported this round so far. Treat the numbers as provisional until a second source confirms.backfillBackfill: collected from historical articles to build the baseline, not from the live daily run.Inc42 ↗
single sourceOnly one publication has reported this round so far. Treat the numbers as provisional until a second source confirms.backfillBackfill: collected from historical articles to build the baseline, not from the live daily run.
Sector fitAI Applications → Application Layer matches applied AI
54Relevance 54/100 for this profile. Relevant: scores 40–59. A partial fit; worth a skim. Open the row for the breakdown.Sol🟡 RelevantRelevant: scores 40–59. A partial fit; worth a skim.$4.0M· Undisclosed· AI Applications· 22 SeptAI Applications → AI agents (primary match) · $4.0M, within $500K–$20M✓ 2 sourcesVerified: 2 independent publications reported this round and agree on the key facts.Economic Times Tech — Funding ↗+1
✓ 2 sourcesVerified: 2 independent publications reported this round and agree on the key facts.
Sol is an agentic AI startup building a proactive AI assistant that identifies commitments users make in emails and starts the work needed to fulfil them.
45Relevance 45/100 for this profile. Relevant: scores 40–59. A partial fit; worth a skim. Open the row for the breakdown.Sol Foundry🟡 RelevantRelevant: scores 40–59. A partial fit; worth a skim.$4.0M· Undisclosed· AI Applications· 22 SeptAI Applications → Application Layer matches applied AI · $4.0M, within $500K–$20Msingle sourceOnly one publication has reported this round so far. Treat the numbers as provisional until a second source confirms.backfillBackfill: collected from historical articles to build the baseline, not from the live daily run.Inc42 ↗
single sourceOnly one publication has reported this round so far. Treat the numbers as provisional until a second source confirms.backfillBackfill: collected from historical articles to build the baseline, not from the live daily run.
75Relevance 75/100 for this profile. High: scores 60–79. A strong fit with this mandate. Open the row for the breakdown.Graph AI🟠 HighHigh: scores 60–79. A strong fit with this mandate.$13.3M· Series A· AI Applications· 10 SeptAI Applications → AI Application Layer is applied AI · Series A, in mandate✓ 2 sourcesVerified: 2 independent publications reported this round and agree on the key facts.backfillBackfill: collected from historical articles to build the baseline, not from the live daily run.Inc42 ↗+1
✓ 2 sourcesVerified: 2 independent publications reported this round and agree on the key facts.backfillBackfill: collected from historical articles to build the baseline, not from the live daily run.
Graph AI operates in the AI application layer with a B2B model.
32Relevance 32/100 for this profile. Context: scores 20–39. Market background, not a mandate fit. Open the row for the breakdown.Dialflo⚪ ContextContext: scores 20–39. Market background, not a mandate fit.$178K· Undisclosed· AI Applications· 10 SeptAI Applications → AI Application Layer is applied AI · 15th pct cheque for Undisclosed × AI Applications (n=10); investor tier 98th pct (AJVC); 1 sourcesingle sourceOnly one publication has reported this round so far. Treat the numbers as provisional until a second source confirms.backfillBackfill: collected from historical articles to build the baseline, not from the live daily run.Inc42 ↗
single sourceOnly one publication has reported this round so far. Treat the numbers as provisional until a second source confirms.backfillBackfill: collected from historical articles to build the baseline, not from the live daily run.
Dialflo operates in the AI application layer with a B2B model.
Sector fitAI Applications → AI Application Layer is applied AI
84Relevance 84/100 for this profile. Act now: scores 80+ (or forced up by a watchlist or adjacency override). Worth a look this week. Open the row for the breakdown.Fundly.ai🔴 Act nowAct now: scores 80+ (or forced up by a watchlist or adjacency override). Worth a look this week.$4.0M· Pre-Series A· AI Applications· 8 SeptAI Applications → AI Application Layer is applied AI · Pre-Series A, in mandate✓ 2 sourcesVerified: 2 independent publications reported this round and agree on the key facts.backfillBackfill: collected from historical articles to build the baseline, not from the live daily run.Inc42 ↗+1
✓ 2 sourcesVerified: 2 independent publications reported this round and agree on the key facts.backfillBackfill: collected from historical articles to build the baseline, not from the live daily run.
Fundly.ai operates in the AI application layer with a B2B model.
32Relevance 32/100 for this profile. Context: scores 20–39. Market background, not a mandate fit. Open the row for the breakdown.TrueFan AI⚪ ContextContext: scores 20–39. Market background, not a mandate fit.undisclosed· Undisclosed· AI Applications· 8 SeptAI Applications → AI Application Layer is applied AI · Amount undisclosed (neutral, not penalised)single sourceOnly one publication has reported this round so far. Treat the numbers as provisional until a second source confirms.backfillBackfill: collected from historical articles to build the baseline, not from the live daily run.Inc42 ↗
single sourceOnly one publication has reported this round so far. Treat the numbers as provisional until a second source confirms.backfillBackfill: collected from historical articles to build the baseline, not from the live daily run.
TrueFan AI operates in the AI application layer with a B2B model.
Sector fitAI Applications → AI Application Layer is applied AI
69Relevance 69/100 for this profile. High: scores 60–79. A strong fit with this mandate. Open the row for the breakdown.Navana.ai🟠 HighHigh: scores 60–79. A strong fit with this mandate.$4.2M· Series A· AI Applications· 7 SeptAI Applications → AI Application Layer is applied AI · Series A, in mandate✓ 2 sourcesVerified: 2 independent publications reported this round and agree on the key facts.backfillBackfill: collected from historical articles to build the baseline, not from the live daily run.Inc42 ↗+1
✓ 2 sourcesVerified: 2 independent publications reported this round and agree on the key facts.backfillBackfill: collected from historical articles to build the baseline, not from the live daily run.
Navana.ai operates in the AI application layer with a B2B model.
34Relevance 34/100 for this profile. Context: scores 20–39. Market background, not a mandate fit. Open the row for the breakdown.Creedom⚪ ContextContext: scores 20–39. Market background, not a mandate fit.$434K· Undisclosed· AI Applications· 2 SeptAI Applications → AI Application Layer is applied AI · $434K, within ±50% of $500K–$20Msingle sourceOnly one publication has reported this round so far. Treat the numbers as provisional until a second source confirms.backfillBackfill: collected from historical articles to build the baseline, not from the live daily run.Inc42 ↗
single sourceOnly one publication has reported this round so far. Treat the numbers as provisional until a second source confirms.backfillBackfill: collected from historical articles to build the baseline, not from the live daily run.
Creedom is an AI application layer startup operating under a B2C business model.
Sector fitAI Applications → AI Application Layer is applied AI
54Relevance 54/100 for this profile. Relevant: scores 40–59. A partial fit; worth a skim. Open the row for the breakdown.Oppex AI🟡 RelevantRelevant: scores 40–59. A partial fit; worth a skim.$445K· Pre-seed· AI Applications· 1 SeptAI Applications → AI Application Layer is applied AI · Pre-seed, in mandatesingle sourceOnly one publication has reported this round so far. Treat the numbers as provisional until a second source confirms.backfillBackfill: collected from historical articles to build the baseline, not from the live daily run.Inc42 ↗
single sourceOnly one publication has reported this round so far. Treat the numbers as provisional until a second source confirms.backfillBackfill: collected from historical articles to build the baseline, not from the live daily run.
Oppex AI is an AI application layer startup serving B2B clients.
Sector fitAI Applications → AI Application Layer is applied AI
46Relevance 46/100 for this profile. Relevant: scores 40–59. A partial fit; worth a skim. Open the row for the breakdown.Ringg🟡 RelevantRelevant: scores 40–59. A partial fit; worth a skim.undisclosed· Undisclosed· AI Applications· 29 AugSame layer as Sarvam AI (tracked company) · AI Applications → voice AI closely related to vernacular AI · Amount undisclosed (neutral, not penalised)single sourceOnly one publication has reported this round so far. Treat the numbers as provisional until a second source confirms.backfillBackfill: collected from historical articles to build the baseline, not from the live daily run.Entrackr ↗
single sourceOnly one publication has reported this round so far. Treat the numbers as provisional until a second source confirms.backfillBackfill: collected from historical articles to build the baseline, not from the live daily run.
Sector fitAI Applications → voice AI closely related to vernacular AI
37Relevance 37/100 for this profile. Context: scores 20–39. Market background, not a mandate fit. Open the row for the breakdown.Edgeverse⚪ ContextContext: scores 20–39. Market background, not a mandate fit.$314K· Undisclosed· AI Applications· 27 AugAI Applications → Application Layer matches applied AI · 35th pct cheque for Undisclosed × AI Applications (n=10); investor tier 92th pct (GVFL); 1 sourcesingle sourceOnly one publication has reported this round so far. Treat the numbers as provisional until a second source confirms.backfillBackfill: collected from historical articles to build the baseline, not from the live daily run.Inc42 ↗
single sourceOnly one publication has reported this round so far. Treat the numbers as provisional until a second source confirms.backfillBackfill: collected from historical articles to build the baseline, not from the live daily run.
Sector fitAI Applications → Application Layer matches applied AI
78Relevance 78/100 for this profile. High: scores 60–79. A strong fit with this mandate. Open the row for the breakdown.Runable🟠 HighHigh: scores 60–79. A strong fit with this mandate.$21.0M· Series A· AI Applications· 26 AugAI Applications → Application Layer matches applied AI · Series A, in mandate✓ 2 sourcesVerified: 2 independent publications reported this round and agree on the key facts.backfillBackfill: collected from historical articles to build the baseline, not from the live daily run.Inc42 ↗+1
✓ 2 sourcesVerified: 2 independent publications reported this round and agree on the key facts.backfillBackfill: collected from historical articles to build the baseline, not from the live daily run.
70Relevance 70/100 for this profile. High: scores 60–79. A strong fit with this mandate. Open the row for the breakdown.Ringg AI🟠 HighHigh: scores 60–79. A strong fit with this mandate.$10.0M· Series A· AI Applications· 26 AugAI Applications → Application Layer matches applied AI · Series A, in mandatesingle sourceOnly one publication has reported this round so far. Treat the numbers as provisional until a second source confirms.backfillBackfill: collected from historical articles to build the baseline, not from the live daily run.Inc42 ↗
single sourceOnly one publication has reported this round so far. Treat the numbers as provisional until a second source confirms.backfillBackfill: collected from historical articles to build the baseline, not from the live daily run.
Sector fitAI Applications → Application Layer matches applied AI
62Relevance 62/100 for this profile. High: scores 60–79. A strong fit with this mandate. Open the row for the breakdown.Echovane🟠 HighHigh: scores 60–79. A strong fit with this mandate.$1.0M· Pre-seed· AI Applications· 25 AugAI Applications → Application Layer matches applied AI · Pre-seed, in mandatesingle sourceOnly one publication has reported this round so far. Treat the numbers as provisional until a second source confirms.backfillBackfill: collected from historical articles to build the baseline, not from the live daily run.Inc42 ↗
single sourceOnly one publication has reported this round so far. Treat the numbers as provisional until a second source confirms.backfillBackfill: collected from historical articles to build the baseline, not from the live daily run.
Sector fitAI Applications → Application Layer matches applied AI
73Relevance 73/100 for this profile. High: scores 60–79. A strong fit with this mandate. Open the row for the breakdown.Tross🟠 HighHigh: scores 60–79. A strong fit with this mandate.undisclosed· Pre-seed· AI Applications· 20 AugAI Applications → Application Layer matches applied AI · Pre-seed, in mandate✓ 2 sourcesVerified: 2 independent publications reported this round and agree on the key facts.backfillBackfill: collected from historical articles to build the baseline, not from the live daily run.Inc42 ↗+1
✓ 2 sourcesVerified: 2 independent publications reported this round and agree on the key facts.backfillBackfill: collected from historical articles to build the baseline, not from the live daily run.
50Relevance 50/100 for this profile. Relevant: scores 40–59. A partial fit; worth a skim. Open the row for the breakdown.Zenalyst🟡 RelevantRelevant: scores 40–59. A partial fit; worth a skim.$314K· Pre-seed· AI Applications· 19 AugAI Applications → Application Layer matches applied AI · Pre-seed, in mandatesingle sourceOnly one publication has reported this round so far. Treat the numbers as provisional until a second source confirms.backfillBackfill: collected from historical articles to build the baseline, not from the live daily run.Inc42 ↗
single sourceOnly one publication has reported this round so far. Treat the numbers as provisional until a second source confirms.backfillBackfill: collected from historical articles to build the baseline, not from the live daily run.
68Relevance 68/100 for this profile. High: scores 60–79. A strong fit with this mandate. Open the row for the breakdown.Wippi🟠 HighHigh: scores 60–79. A strong fit with this mandate.$1.2M· Seed· AI Applications· 12 AugAI Applications → Application Layer matches applied AI · Seed, in mandate✓ 2 sourcesVerified: 2 independent publications reported this round and agree on the key facts.backfillBackfill: collected from historical articles to build the baseline, not from the live daily run.Inc42 ↗+1
✓ 2 sourcesVerified: 2 independent publications reported this round and agree on the key facts.backfillBackfill: collected from historical articles to build the baseline, not from the live daily run.
72Relevance 72/100 for this profile. High: scores 60–79. A strong fit with this mandate. Open the row for the breakdown.Vecton AI🟠 HighHigh: scores 60–79. A strong fit with this mandate.$629K· Pre-seed· AI Applications· 11 AugAI Applications → Application Layer matches applied AI · Pre-seed, in mandate✓ 2 sourcesVerified: 2 independent publications reported this round and agree on the key facts.backfillBackfill: collected from historical articles to build the baseline, not from the live daily run.Inc42 ↗+1
✓ 2 sourcesVerified: 2 independent publications reported this round and agree on the key facts.backfillBackfill: collected from historical articles to build the baseline, not from the live daily run.
39Relevance 39/100 for this profile. Context: scores 20–39. Market background, not a mandate fit. Open the row for the breakdown.Sarvam⚪ ContextContext: scores 20–39. Market background, not a mandate fit.$74.0M· Series B· AI Applications· 8 AugAI Applications → null (core sector missing sub-sector) · 93th pct cheque for Series B (all sectors) (n=20); investor tier 39th pct (NVIDIA Corporation); 1 sourcesingle sourceOnly one publication has reported this round so far. Treat the numbers as provisional until a second source confirms.backfillBackfill: collected from historical articles to build the baseline, not from the live daily run.Entrackr ↗
single sourceOnly one publication has reported this round so far. Treat the numbers as provisional until a second source confirms.backfillBackfill: collected from historical articles to build the baseline, not from the live daily run.
54Relevance 54/100 for this profile. Relevant: scores 40–59. A partial fit; worth a skim. Open the row for the breakdown.Consint.AI🟡 RelevantRelevant: scores 40–59. A partial fit; worth a skim.$2.3M· Series A· AI Applications· 6 AugAI Applications → Application Layer matches applied AI · Series A, in mandatesingle sourceOnly one publication has reported this round so far. Treat the numbers as provisional until a second source confirms.backfillBackfill: collected from historical articles to build the baseline, not from the live daily run.Inc42 ↗
single sourceOnly one publication has reported this round so far. Treat the numbers as provisional until a second source confirms.backfillBackfill: collected from historical articles to build the baseline, not from the live daily run.
82Relevance 82/100 for this profile. Act now: scores 80+ (or forced up by a watchlist or adjacency override). Worth a look this week. Open the row for the breakdown.Pinegap🔴 Act nowAct now: scores 80+ (or forced up by a watchlist or adjacency override). Worth a look this week.$8.0M· Series A· AI Applications· 5 AugAI Applications → Application Layer matches applied AI · Series A, in mandate✓ 2 sourcesVerified: 2 independent publications reported this round and agree on the key facts.backfillBackfill: collected from historical articles to build the baseline, not from the live daily run.Inc42 ↗+1
✓ 2 sourcesVerified: 2 independent publications reported this round and agree on the key facts.backfillBackfill: collected from historical articles to build the baseline, not from the live daily run.
60Relevance 60/100 for this profile. High: scores 60–79. A strong fit with this mandate. Open the row for the breakdown.Hulp🟠 HighHigh: scores 60–79. A strong fit with this mandate.$2.6M· Seed· AI Applications· 5 AugAI Applications → Application Layer matches applied AI · Seed, in mandatesingle sourceOnly one publication has reported this round so far. Treat the numbers as provisional until a second source confirms.backfillBackfill: collected from historical articles to build the baseline, not from the live daily run.Inc42 ↗
single sourceOnly one publication has reported this round so far. Treat the numbers as provisional until a second source confirms.backfillBackfill: collected from historical articles to build the baseline, not from the live daily run.
Sector fitAI Applications → Application Layer matches applied AI
69Relevance 69/100 for this profile. High: scores 60–79. A strong fit with this mandate. Open the row for the breakdown.Profound🟠 HighHigh: scores 60–79. A strong fit with this mandate.$1.5M· Seed· AI Applications· 4 AugAI Applications → Application Layer matches applied AI · Seed, in mandatesingle sourceOnly one publication has reported this round so far. Treat the numbers as provisional until a second source confirms.backfillBackfill: collected from historical articles to build the baseline, not from the live daily run.Inc42 ↗
single sourceOnly one publication has reported this round so far. Treat the numbers as provisional until a second source confirms.backfillBackfill: collected from historical articles to build the baseline, not from the live daily run.
59Relevance 59/100 for this profile. Relevant: scores 40–59. A partial fit; worth a skim. Open the row for the breakdown.Superleap🟡 RelevantRelevant: scores 40–59. A partial fit; worth a skim.$4.2M· Pre-Series A· AI Applications· 4 AugAI Applications → Application Layer matches applied AI · Pre-Series A, in mandatesingle sourceOnly one publication has reported this round so far. Treat the numbers as provisional until a second source confirms.backfillBackfill: collected from historical articles to build the baseline, not from the live daily run.Inc42 ↗
single sourceOnly one publication has reported this round so far. Treat the numbers as provisional until a second source confirms.backfillBackfill: collected from historical articles to build the baseline, not from the live daily run.
Sector fitAI Applications → Application Layer matches applied AI
54Relevance 54/100 for this profile. Relevant: scores 40–59. A partial fit; worth a skim. Open the row for the breakdown.NYAI🟡 RelevantRelevant: scores 40–59. A partial fit; worth a skim.$1.5M· Seed· AI Applications· 4 AugAI Applications → Application Layer matches applied AI · Seed, in mandatesingle sourceOnly one publication has reported this round so far. Treat the numbers as provisional until a second source confirms.backfillBackfill: collected from historical articles to build the baseline, not from the live daily run.Inc42 ↗
single sourceOnly one publication has reported this round so far. Treat the numbers as provisional until a second source confirms.backfillBackfill: collected from historical articles to build the baseline, not from the live daily run.
Sector fitAI Applications → Application Layer matches applied AI
43Relevance 43/100 for this profile. Relevant: scores 40–59. A partial fit; worth a skim. Open the row for the breakdown.Kily🟡 RelevantRelevant: scores 40–59. A partial fit; worth a skim.$3.2M· Undisclosed· AI Applications· 4 AugAI Applications → Application Layer matches applied AI · $3.2M, within $500K–$20Msingle sourceOnly one publication has reported this round so far. Treat the numbers as provisional until a second source confirms.backfillBackfill: collected from historical articles to build the baseline, not from the live daily run.Inc42 ↗
single sourceOnly one publication has reported this round so far. Treat the numbers as provisional until a second source confirms.backfillBackfill: collected from historical articles to build the baseline, not from the live daily run.
Sector fitAI Applications → Application Layer matches applied AI
68Relevance 68/100 for this profile. High: scores 60–79. A strong fit with this mandate. Open the row for the breakdown.Smallest.ai🟠 HighHigh: scores 60–79. A strong fit with this mandate.$13.0M· Series A· AI Applications· 31 JulAI Applications → Application Layer matches applied AI · Series A, in mandatesingle sourceOnly one publication has reported this round so far. Treat the numbers as provisional until a second source confirms.backfillBackfill: collected from historical articles to build the baseline, not from the live daily run.Inc42 ↗
single sourceOnly one publication has reported this round so far. Treat the numbers as provisional until a second source confirms.backfillBackfill: collected from historical articles to build the baseline, not from the live daily run.
Smallest.ai provides B2B services in the AI application layer.
Sector fitAI Applications → Application Layer matches applied AI
74Relevance 74/100 for this profile. High: scores 60–79. A strong fit with this mandate. Open the row for the breakdown.Revspot🟠 HighHigh: scores 60–79. A strong fit with this mandate.$4.8M· Series A· AI Applications· Bengaluru· 29 JulAI Applications → Application Layer matches applied AI · Series A, in mandate✓ 2 sourcesVerified: 2 independent publications reported this round and agree on the key facts.backfillBackfill: collected from historical articles to build the baseline, not from the live daily run.Inc42 ↗+1
✓ 2 sourcesVerified: 2 independent publications reported this round and agree on the key facts.backfillBackfill: collected from historical articles to build the baseline, not from the live daily run.
37Relevance 37/100 for this profile. Context: scores 20–39. Market background, not a mandate fit. Open the row for the breakdown.Freehand⚪ ContextContext: scores 20–39. Market background, not a mandate fit.$75.0M· Undisclosed· AI Applications· 29 JulAI Applications → Application Layer matches applied AI · 85th pct cheque for Undisclosed × AI Applications (n=10); investor tier 100th pct (Nexus Venture Partners); 1 sourcesingle sourceOnly one publication has reported this round so far. Treat the numbers as provisional until a second source confirms.backfillBackfill: collected from historical articles to build the baseline, not from the live daily run.Inc42 ↗
single sourceOnly one publication has reported this round so far. Treat the numbers as provisional until a second source confirms.backfillBackfill: collected from historical articles to build the baseline, not from the live daily run.
Freehand operates in the AI application layer under a B2B business model.
34Relevance 34/100 for this profile. Context: scores 20–39. Market background, not a mandate fit. Open the row for the breakdown.FireAI⚪ ContextContext: scores 20–39. Market background, not a mandate fit.$259K· Undisclosed· AI Applications· 21 JulAI Applications → AI Application Layer is applied AI · $259K, within ±50% of $500K–$20Msingle sourceOnly one publication has reported this round so far. Treat the numbers as provisional until a second source confirms.backfillBackfill: collected from historical articles to build the baseline, not from the live daily run.Inc42 ↗
single sourceOnly one publication has reported this round so far. Treat the numbers as provisional until a second source confirms.backfillBackfill: collected from historical articles to build the baseline, not from the live daily run.
Sector fitAI Applications → AI Application Layer is applied AI
85Relevance 85/100 for this profile. Act now: scores 80+ (or forced up by a watchlist or adjacency override). Worth a look this week. Open the row for the breakdown.Reo.Dev🔴 Act nowAct now: scores 80+ (or forced up by a watchlist or adjacency override). Worth a look this week.$11.3M· Series A· AI Applications· 16 JulAI Applications → Application Layer matches applied AI · Series A, in mandatedisputed: amountSources disagree on: amountbackfillBackfill: collected from historical articles to build the baseline, not from the live daily run.Entrackr ↗+1
disputed: amountSources disagree on: amountbackfillBackfill: collected from historical articles to build the baseline, not from the live daily run.
63Relevance 63/100 for this profile. High: scores 60–79. A strong fit with this mandate. Open the row for the breakdown.logcat.ai🟠 HighHigh: scores 60–79. A strong fit with this mandate.$2.5M· Pre-seed· AI Applications· 16 JulAI Applications → Application Layer matches applied AI · Pre-seed, in mandatesingle sourceOnly one publication has reported this round so far. Treat the numbers as provisional until a second source confirms.backfillBackfill: collected from historical articles to build the baseline, not from the live daily run.Inc42 ↗
single sourceOnly one publication has reported this round so far. Treat the numbers as provisional until a second source confirms.backfillBackfill: collected from historical articles to build the baseline, not from the live daily run.
63Relevance 63/100 for this profile. High: scores 60–79. A strong fit with this mandate. Open the row for the breakdown.SwitchOn🟠 HighHigh: scores 60–79. A strong fit with this mandate.$8.0M· Pre-Series A· AI Applications· 16 JulAI Applications → Application Layer matches applied AI · Pre-Series A, in mandatesingle sourceOnly one publication has reported this round so far. Treat the numbers as provisional until a second source confirms.backfillBackfill: collected from historical articles to build the baseline, not from the live daily run.Inc42 ↗
single sourceOnly one publication has reported this round so far. Treat the numbers as provisional until a second source confirms.backfillBackfill: collected from historical articles to build the baseline, not from the live daily run.
Sector fitAI Applications → Application Layer matches applied AI
62Relevance 62/100 for this profile. High: scores 60–79. A strong fit with this mandate. Open the row for the breakdown.Aina🟠 HighHigh: scores 60–79. A strong fit with this mandate.$5.5M· Seed· AI Applications· 16 JulAI Applications → Application Layer matches applied AI · Seed, in mandatesingle sourceOnly one publication has reported this round so far. Treat the numbers as provisional until a second source confirms.backfillBackfill: collected from historical articles to build the baseline, not from the live daily run.Inc42 ↗
single sourceOnly one publication has reported this round so far. Treat the numbers as provisional until a second source confirms.backfillBackfill: collected from historical articles to build the baseline, not from the live daily run.
29Relevance 29/100 for this profile. Context: scores 20–39. Market background, not a mandate fit. Open the row for the breakdown.Othor AI⚪ ContextContext: scores 20–39. Market background, not a mandate fit.$70K· Undisclosed· AI Applications· 16 JulAI Applications → Application Layer matches applied AI · 5th pct cheque for Undisclosed × AI Applications (n=10); investor tier 39th pct (Amit Ashu); 1 sourcesingle sourceOnly one publication has reported this round so far. Treat the numbers as provisional until a second source confirms.backfillBackfill: collected from historical articles to build the baseline, not from the live daily run.Inc42 ↗
single sourceOnly one publication has reported this round so far. Treat the numbers as provisional until a second source confirms.backfillBackfill: collected from historical articles to build the baseline, not from the live daily run.
Sector fitAI Applications → Application Layer matches applied AI
88Relevance 88/100 for this profile. Act now: scores 80+ (or forced up by a watchlist or adjacency override). Worth a look this week. Open the row for the breakdown.Vorflux🔴 Act nowAct now: scores 80+ (or forced up by a watchlist or adjacency override). Worth a look this week.$15.0M· Seed· AI Applications· 15 JulAI Applications → Application Layer matches applied AI · Seed, in mandate✓ 2 sourcesVerified: 2 independent publications reported this round and agree on the key facts.backfillBackfill: collected from historical articles to build the baseline, not from the live daily run.Entrackr ↗+1
✓ 2 sourcesVerified: 2 independent publications reported this round and agree on the key facts.backfillBackfill: collected from historical articles to build the baseline, not from the live daily run.
Ecosystem significance63th pct cheque for Series B (all sectors) (n=20); investor tier 100th pct (Accel India); 6 sources14.6/18
Override · Same layer as Sarvam AI (tracked company)+25
Raw 90.5 × confidence 1Points from the rows above, multiplied by how sure we are of the facts (fewer sources or disputed fields lower it), then capped at 100.Score 90.5
Seed, in mandate
20/20
Cheque fit$316K, within ±50% of $500K–$20M5/10
Tracked investorNo tracked investor0/12
Geography fitCity not reported0/5
RecencyAnnounced 4 days ago2.1/5
Ecosystem significance5th pct cheque for Seed × AI Applications (n=11); investor tier 39th pct (Umair Mohammad); 1 source3.4/18
Raw 46.3 × confidence 0.85Points from the rows above, multiplied by how sure we are of the facts (fewer sources or disputed fields lower it), then capped at 100.Score 46.3
30/30
Stage fitSeed, in mandate20/20
Cheque fit$2.5M, within $500K–$20M10/10
Tracked investorNo tracked investor0/12
Geography fitBengaluru, primary geography5/5
RecencyAnnounced 5 days ago1.4/5
Ecosystem significance41th pct cheque for Seed × AI Applications (n=11); investor tier 39th pct (Accion Ventures); 2 sources7.6/18
Override · Customer to Sarvam AI (tracked company)+15
Raw 89 × confidence 1Points from the rows above, multiplied by how sure we are of the facts (fewer sources or disputed fields lower it), then capped at 100.Score 89
Sector fitAI Applications → enterprise AI integration relates to applied AI
24/30
Stage fitSeed, in mandate20/20
Cheque fit$6.6M, within $500K–$20M10/10
Tracked investor3one4 Capital (lead), tracked12/12
Geography fitCity not reported0/5
RecencyAnnounced 5 days ago1.4/5
Ecosystem significance77th pct cheque for Seed × AI Applications (n=11); investor tier 100th pct (3one4 Capital); 3 sources15/18
Raw 82.4 × confidence 1Points from the rows above, multiplied by how sure we are of the facts (fewer sources or disputed fields lower it), then capped at 100.Score 82.4
Sector fitAI Applications → AI video platform relates to applied AI24/30
Stage fitSeries A, in mandate20/20
Cheque fit$10M, within $500K–$20M10/10
Tracked investorNo tracked investor0/12
Geography fitSan Francisco, other city1/5
RecencyAnnounced 6 days ago0.7/5
Ecosystem significance50th pct cheque for Series A × AI Applications (n=10); investor tier 97th pct (Y Combinator); 4 sources13.3/18
Raw 69 × confidence 1Points from the rows above, multiplied by how sure we are of the facts (fewer sources or disputed fields lower it), then capped at 100.Score 69
Ecosystem significance59th pct cheque for Seed × AI Applications (n=11); investor tier 85th pct (Prime Venture Partners); 1 source10.8/18
Override · Customer to Sarvam AI (tracked company)+15
Raw 87.4 × confidence 0.85Points from the rows above, multiplied by how sure we are of the facts (fewer sources or disputed fields lower it), then capped at 100.Score 87.4
24/30
Stage fitPre-seed, in mandate20/20
Cheque fit$622K, within $500K–$20M10/10
Tracked investorNo tracked investor0/12
Geography fitPune, secondary geography3/5
RecencyBefore the current digest window0/5
Ecosystem significance44th pct cheque for Pre-seed × AI Applications (n=8); investor tier 39th pct (Merak Ventures); 2 sources7.9/18
Override · Customer to Sarvam AI (tracked company)+15
Raw 79.9 × confidence 1Points from the rows above, multiplied by how sure we are of the facts (fewer sources or disputed fields lower it), then capped at 100.Score 79.9
24/30
Stage fitRound not named in the article0/20
Cheque fit$150M, outside $500K–$20M0/10
Tracked investorNo tracked investor0/12
Geography fitCity not reported0/5
RecencyBefore the current digest window0/5
Ecosystem significance95th pct cheque for Undisclosed × AI Applications (n=10); no ranked investor; 1 source9.5/18
Raw 28.5 × confidence 0.85Points from the rows above, multiplied by how sure we are of the facts (fewer sources or disputed fields lower it), then capped at 100.Score 28.5
24/30
Stage fitRound not named in the article0/20
Cheque fitAmount undisclosed (neutral, not penalised)4/10
Tracked investorNo tracked investor0/12
Geography fitCity not reported0/5
RecencyBefore the current digest window0/5
Ecosystem significancecheque size unknown; no ranked investor; 1 source0.9/18
Raw 24.6 × confidence 0.85Points from the rows above, multiplied by how sure we are of the facts (fewer sources or disputed fields lower it), then capped at 100.Score 24.6
30/30
Stage fitPre-seed, in mandate20/20
Cheque fitAmount undisclosed (neutral, not penalised)4/10
Raw 48.4 × confidence 0.85Points from the rows above, multiplied by how sure we are of the facts (fewer sources or disputed fields lower it), then capped at 100.Score 48.4
30/30
Stage fitSeed, in mandate20/20
Cheque fit$6.7M, within $500K–$20M10/10
Tracked investorElevation Capital (lead), tracked12/12
Geography fitCity not reported0/5
RecencyBefore the current digest window0/5
Ecosystem significance86th pct cheque for Seed × AI Applications (n=11); investor tier 99th pct (Elevation Capital); 2 sources14.9/18
Raw 86.9 × confidence 1Points from the rows above, multiplied by how sure we are of the facts (fewer sources or disputed fields lower it), then capped at 100.Score 86.9
30/30
Stage fitPre-seed, in mandate20/20
Cheque fit$1.0M, within $500K–$20M10/10
Tracked investorNo tracked investor0/12
Geography fitCity not reported0/5
RecencyBefore the current digest window0/5
Ecosystem significance75th pct cheque for Pre-seed × AI Applications (n=8); investor tier 97th pct (Y Combinator); 1 source12.9/18
Raw 62 × confidence 0.85Points from the rows above, multiplied by how sure we are of the facts (fewer sources or disputed fields lower it), then capped at 100.Score 62
30/30
Stage fitSeries B, adjacent to mandate10/20
Cheque fit$77M, outside $500K–$20M0/10
Tracked investorAccel India (participating), tracked7/12
Geography fitCity not reported0/5
RecencyBefore the current digest window0/5
Ecosystem significance98th pct cheque for Series B (all sectors) (n=20); investor tier 100th pct (Accel India); 3 sources16.9/18
Raw 63.9 × confidence 1Points from the rows above, multiplied by how sure we are of the facts (fewer sources or disputed fields lower it), then capped at 100.Score 63.9
30/30
Stage fitPre-seed, in mandate20/20
Cheque fit$600K, within $500K–$20M10/10
Tracked investorNo tracked investor0/12
Geography fitCity not reported0/5
RecencyBefore the current digest window0/5
Ecosystem significance31th pct cheque for Pre-seed × AI Applications (n=8); investor tier 85th pct (Lumikai); 1 source8.3/18
Raw 58.1 × confidence 0.85Points from the rows above, multiplied by how sure we are of the facts (fewer sources or disputed fields lower it), then capped at 100.Score 58.1
AI Applications → AI agents (primary match)
30/30
Stage fitRound not named in the article0/20
Cheque fit$4.0M, within $500K–$20M10/10
Tracked investorNo tracked investor0/12
Geography fitCity not reported0/5
RecencyBefore the current digest window0/5
Ecosystem significance70th pct cheque for Undisclosed × AI Applications (n=10); investor tier 100th pct (Nexus Venture Partners); 2 sources13.5/18
Raw 53.5 × confidence 1Points from the rows above, multiplied by how sure we are of the facts (fewer sources or disputed fields lower it), then capped at 100.Score 53.5
AI Applications → Application Layer matches applied AI
30/30
Stage fitRound not named in the article0/20
Cheque fit$4.0M, within $500K–$20M10/10
Tracked investorNo tracked investor0/12
Geography fitCity not reported0/5
RecencyBefore the current digest window0/5
Ecosystem significance70th pct cheque for Undisclosed × AI Applications (n=10); investor tier 100th pct (Nexus Venture Partners); 1 source12.6/18
Raw 44.7 × confidence 0.85Points from the rows above, multiplied by how sure we are of the facts (fewer sources or disputed fields lower it), then capped at 100.Score 44.7
Sector fitAI Applications → AI Application Layer is applied AI
30/30
Stage fitSeries A, in mandate20/20
Cheque fit$13M, within $500K–$20M10/10
Tracked investorNo tracked investor0/12
Geography fitCity not reported0/5
RecencyBefore the current digest window0/5
Ecosystem significance85th pct cheque for Series A × AI Applications (n=10); investor tier 96th pct (Bessemer Venture Partners); 2 sources14.6/18
Raw 74.6 × confidence 1Points from the rows above, multiplied by how sure we are of the facts (fewer sources or disputed fields lower it), then capped at 100.Score 74.6
30/30
Stage fitRound not named in the article0/20
Cheque fit$178K, outside $500K–$20M0/10
Tracked investorNo tracked investor0/12
Geography fitCity not reported0/5
RecencyBefore the current digest window0/5
Ecosystem significance15th pct cheque for Undisclosed × AI Applications (n=10); investor tier 98th pct (AJVC); 1 source7.6/18
Raw 32 × confidence 0.85Points from the rows above, multiplied by how sure we are of the facts (fewer sources or disputed fields lower it), then capped at 100.Score 32
Sector fitAI Applications → AI Application Layer is applied AI30/30
Stage fitPre-Series A, in mandate20/20
Cheque fit$4.0M, within $500K–$20M10/10
Tracked investorAccel India (lead), tracked12/12
Geography fitCity not reported0/5
RecencyBefore the current digest window0/5
Ecosystem significance58th pct cheque for Pre-Series A (all sectors) (n=24); investor tier 100th pct (Accel India); 2 sources12.4/18
Raw 84.4 × confidence 1Points from the rows above, multiplied by how sure we are of the facts (fewer sources or disputed fields lower it), then capped at 100.Score 84.4
30/30
Stage fitRound not named in the article0/20
Cheque fitAmount undisclosed (neutral, not penalised)4/10
Raw 31.5 × confidence 0.85Points from the rows above, multiplied by how sure we are of the facts (fewer sources or disputed fields lower it), then capped at 100.Score 31.5
Sector fitAI Applications → AI Application Layer is applied AI30/30
Stage fitSeries A, in mandate20/20
Cheque fit$4.2M, within $500K–$20M10/10
Tracked investorNo tracked investor0/12
Geography fitCity not reported0/5
RecencyBefore the current digest window0/5
Ecosystem significance15th pct cheque for Series A × AI Applications (n=10); investor tier 98th pct (Antler India); 2 sources8.5/18
Raw 68.5 × confidence 1Points from the rows above, multiplied by how sure we are of the facts (fewer sources or disputed fields lower it), then capped at 100.Score 68.5
30/30
Stage fitRound not named in the article0/20
Cheque fit$434K, within ±50% of $500K–$20M5/10
Tracked investorNo tracked investor0/12
Geography fitCity not reported0/5
RecencyBefore the current digest window0/5
Ecosystem significance45th pct cheque for Undisclosed × AI Applications (n=10); no ranked investor; 1 source5/18
Raw 34 × confidence 0.85Points from the rows above, multiplied by how sure we are of the facts (fewer sources or disputed fields lower it), then capped at 100.Score 34
30/30
Stage fitPre-seed, in mandate20/20
Cheque fit$445K, within ±50% of $500K–$20M5/10
Tracked investorNo tracked investor0/12
Geography fitCity not reported0/5
RecencyBefore the current digest window0/5
Ecosystem significance19th pct cheque for Pre-seed × AI Applications (n=8); investor tier 98th pct (Info Edge Ventures); 1 source7.9/18
Raw 53.5 × confidence 0.85Points from the rows above, multiplied by how sure we are of the facts (fewer sources or disputed fields lower it), then capped at 100.Score 53.5
24/30
Stage fitRound not named in the article0/20
Cheque fitAmount undisclosed (neutral, not penalised)4/10
Tracked investorNo tracked investor0/12
Geography fitCity not reported0/5
RecencyBefore the current digest window0/5
Ecosystem significancecheque size unknown; no ranked investor; 1 source0.9/18
Override · Same layer as Sarvam AI (tracked company)+25
Raw 45.8 × confidence 0.85Points from the rows above, multiplied by how sure we are of the facts (fewer sources or disputed fields lower it), then capped at 100.Score 45.8
30/30
Stage fitRound not named in the article0/20
Cheque fit$314K, within ±50% of $500K–$20M5/10
Tracked investorNo tracked investor0/12
Geography fitCity not reported0/5
RecencyBefore the current digest window0/5
Ecosystem significance35th pct cheque for Undisclosed × AI Applications (n=10); investor tier 92th pct (GVFL); 1 source9/18
Raw 37.4 × confidence 0.85Points from the rows above, multiplied by how sure we are of the facts (fewer sources or disputed fields lower it), then capped at 100.Score 37.4
Tracked investorTogether Fund (participating), tracked7/12
Geography fitCity not reported0/5
RecencyBefore the current digest window0/5
Ecosystem significance95th pct cheque for Series A × AI Applications (n=10); investor tier 100th pct (Nexus Venture Partners); 2 sources15.7/18
Raw 77.7 × confidence 1Points from the rows above, multiplied by how sure we are of the facts (fewer sources or disputed fields lower it), then capped at 100.Score 77.7
30/30
Stage fitSeries A, in mandate20/20
Cheque fit$10M, within $500K–$20M10/10
Tracked investorPeak XV Partners (lead), tracked12/12
Geography fitCity not reported0/5
RecencyBefore the current digest window0/5
Ecosystem significance50th pct cheque for Series A × AI Applications (n=10); investor tier 99th pct (Peak XV Partners); 1 source10.8/18
Raw 70.4 × confidence 0.85Points from the rows above, multiplied by how sure we are of the facts (fewer sources or disputed fields lower it), then capped at 100.Score 70.4
30/30
Stage fitPre-seed, in mandate20/20
Cheque fit$1.0M, within $500K–$20M10/10
Tracked investorNo tracked investor0/12
Geography fitCity not reported0/5
RecencyBefore the current digest window0/5
Ecosystem significance75th pct cheque for Pre-seed × AI Applications (n=8); investor tier 97th pct (Titan Capital); 1 source12.9/18
Raw 62 × confidence 0.85Points from the rows above, multiplied by how sure we are of the facts (fewer sources or disputed fields lower it), then capped at 100.Score 62
AI Applications → Application Layer matches applied AI
30/30
Stage fitPre-seed, in mandate20/20
Cheque fitAmount undisclosed (neutral, not penalised)4/10
Tracked investorAll In Capital (lead), tracked12/12
Raw 73.1 × confidence 1Points from the rows above, multiplied by how sure we are of the facts (fewer sources or disputed fields lower it), then capped at 100.Score 73.1
Sector fitAI Applications → Application Layer matches applied AI
30/30
Stage fitPre-seed, in mandate20/20
Cheque fit$314K, within ±50% of $500K–$20M5/10
Tracked investorNo tracked investor0/12
Geography fitCity not reported0/5
RecencyBefore the current digest window0/5
Ecosystem significance6th pct cheque for Pre-seed × AI Applications (n=8); investor tier 39th pct (SKIL Cabs); 1 source3.6/18
Raw 49.8 × confidence 0.85Points from the rows above, multiplied by how sure we are of the facts (fewer sources or disputed fields lower it), then capped at 100.Score 49.8
Ecosystem significance14th pct cheque for Seed × AI Applications (n=11); investor tier 92th pct (Ventana Ventures); 2 sources8/18
Raw 68 × confidence 1Points from the rows above, multiplied by how sure we are of the facts (fewer sources or disputed fields lower it), then capped at 100.Score 68
AI Applications → Application Layer matches applied AI
30/30
Stage fitPre-seed, in mandate20/20
Cheque fit$629K, within $500K–$20M10/10
Tracked investorNo tracked investor0/12
Geography fitCity not reported0/5
RecencyBefore the current digest window0/5
Ecosystem significance56th pct cheque for Pre-seed × AI Applications (n=8); investor tier 96th pct (Zeropearl VC); 2 sources12/18
Raw 72 × confidence 1Points from the rows above, multiplied by how sure we are of the facts (fewer sources or disputed fields lower it), then capped at 100.Score 72
24/30
Stage fitSeries B, adjacent to mandate10/20
Cheque fit$74M, outside $500K–$20M0/10
Tracked investorNo tracked investor0/12
Geography fitCity not reported0/5
RecencyBefore the current digest window0/5
Ecosystem significance93th pct cheque for Series B (all sectors) (n=20); investor tier 39th pct (NVIDIA Corporation); 1 source11.4/18
Raw 38.6 × confidence 0.85Points from the rows above, multiplied by how sure we are of the facts (fewer sources or disputed fields lower it), then capped at 100.Score 38.6
AI Applications → Application Layer matches applied AI
30/30
Stage fitSeries A, in mandate20/20
Cheque fit$2.3M, within $500K–$20M10/10
Tracked investorNo tracked investor0/12
Geography fitCity not reported0/5
RecencyBefore the current digest window0/5
Ecosystem significance5th pct cheque for Series A × AI Applications (n=10); investor tier 39th pct (BIG Global Investment JSC); 1 source3.5/18
Raw 54 × confidence 0.85Points from the rows above, multiplied by how sure we are of the facts (fewer sources or disputed fields lower it), then capped at 100.Score 54
Ecosystem significance35th pct cheque for Series A × AI Applications (n=10); investor tier 98th pct (DeVC); 2 sources10.3/18
Raw 82.3 × confidence 1Points from the rows above, multiplied by how sure we are of the facts (fewer sources or disputed fields lower it), then capped at 100.Score 82.3
30/30
Stage fitSeed, in mandate20/20
Cheque fit$2.6M, within $500K–$20M10/10
Tracked investorNo tracked investor0/12
Geography fitCity not reported0/5
RecencyBefore the current digest window0/5
Ecosystem significance50th pct cheque for Seed × AI Applications (n=11); investor tier 98th pct (DeVC); 1 source10.7/18
Raw 60.1 × confidence 0.85Points from the rows above, multiplied by how sure we are of the facts (fewer sources or disputed fields lower it), then capped at 100.Score 60.1
Ecosystem significance27th pct cheque for Seed × AI Applications (n=11); investor tier 100th pct (3one4 Capital); 1 source8.7/18
Raw 68.6 × confidence 0.85Points from the rows above, multiplied by how sure we are of the facts (fewer sources or disputed fields lower it), then capped at 100.Score 68.6
30/30
Stage fitPre-Series A, in mandate20/20
Cheque fit$4.2M, within $500K–$20M10/10
Tracked investorNo tracked investor0/12
Geography fitCity not reported0/5
RecencyBefore the current digest window0/5
Ecosystem significance65th pct cheque for Pre-Series A (all sectors) (n=24); investor tier 39th pct (Surge (Peak XV Partners)); 1 source8.8/18
Raw 58.5 × confidence 0.85Points from the rows above, multiplied by how sure we are of the facts (fewer sources or disputed fields lower it), then capped at 100.Score 58.5
30/30
Stage fitSeed, in mandate20/20
Cheque fit$1.5M, within $500K–$20M10/10
Tracked investorNo tracked investor0/12
Geography fitCity not reported0/5
RecencyBefore the current digest window0/5
Ecosystem significance27th pct cheque for Seed × AI Applications (n=11); no ranked investor; 1 source3.4/18
Raw 53.9 × confidence 0.85Points from the rows above, multiplied by how sure we are of the facts (fewer sources or disputed fields lower it), then capped at 100.Score 53.9
30/30
Stage fitRound not named in the article0/20
Cheque fit$3.2M, within $500K–$20M10/10
Tracked investorNo tracked investor0/12
Geography fitCity not reported0/5
RecencyBefore the current digest window0/5
Ecosystem significance55th pct cheque for Undisclosed × AI Applications (n=10); investor tier 92th pct (Sorin Investments); 1 source10.8/18
Raw 43.2 × confidence 0.85Points from the rows above, multiplied by how sure we are of the facts (fewer sources or disputed fields lower it), then capped at 100.Score 43.2
30/30
Stage fitSeries A, in mandate20/20
Cheque fit$13M, within $500K–$20M10/10
Tracked investor3one4 Capital (participating), tracked7/12
Geography fitCity not reported0/5
RecencyBefore the current digest window0/5
Ecosystem significance75th pct cheque for Series A × AI Applications (n=10); investor tier 100th pct (3one4 Capital); 1 source13/18
Raw 68 × confidence 0.85Points from the rows above, multiplied by how sure we are of the facts (fewer sources or disputed fields lower it), then capped at 100.Score 68
Ecosystem significance25th pct cheque for Series A × AI Applications (n=10); investor tier 98th pct (Info Edge Ventures); 2 sources9.4/18
Raw 74.4 × confidence 1Points from the rows above, multiplied by how sure we are of the facts (fewer sources or disputed fields lower it), then capped at 100.Score 74.4
AI Applications → Application Layer matches applied AI
30/30
Stage fitRound not named in the article0/20
Cheque fit$75M, outside $500K–$20M0/10
Tracked investorNo tracked investor0/12
Geography fitCity not reported0/5
RecencyBefore the current digest window0/5
Ecosystem significance85th pct cheque for Undisclosed × AI Applications (n=10); investor tier 100th pct (Nexus Venture Partners); 1 source13.9/18
Raw 37.3 × confidence 0.85Points from the rows above, multiplied by how sure we are of the facts (fewer sources or disputed fields lower it), then capped at 100.Score 37.3
30/30
Stage fitRound not named in the article0/20
Cheque fit$259K, within ±50% of $500K–$20M5/10
Tracked investorNo tracked investor0/12
Geography fitCity not reported0/5
RecencyBefore the current digest window0/5
Ecosystem significance25th pct cheque for Undisclosed × AI Applications (n=10); investor tier 39th pct (SucSEED Indovation Fund); 1 source5.3/18
Raw 34.3 × confidence 0.85Points from the rows above, multiplied by how sure we are of the facts (fewer sources or disputed fields lower it), then capped at 100.Score 34.3
Sector fitAI Applications → Application Layer matches applied AI
30/30
Stage fitSeries A, in mandate20/20
Cheque fit$11M, within $500K–$20M10/10
Tracked investorElevation Capital (lead), tracked12/12
Geography fitCity not reported0/5
RecencyBefore the current digest window0/5
Ecosystem significance65th pct cheque for Series A × AI Applications (n=10); investor tier 99th pct (Elevation Capital); 2 sources13/18
Raw 85 × confidence 1Points from the rows above, multiplied by how sure we are of the facts (fewer sources or disputed fields lower it), then capped at 100.Score 85
Ecosystem significance94th pct cheque for Pre-seed × AI Applications (n=8); investor tier 92th pct (Tanglin Venture Partners); 1 source14.3/18
Raw 63.2 × confidence 0.85Points from the rows above, multiplied by how sure we are of the facts (fewer sources or disputed fields lower it), then capped at 100.Score 63.2
30/30
Stage fitPre-Series A, in mandate20/20
Cheque fit$8.0M, within $500K–$20M10/10
Tracked investorNo tracked investor0/12
Geography fitCity not reported0/5
RecencyBefore the current digest window0/5
Ecosystem significance90th pct cheque for Pre-Series A (all sectors) (n=24); investor tier 92th pct (IvyCap Ventures); 1 source14/18
Raw 62.9 × confidence 0.85Points from the rows above, multiplied by how sure we are of the facts (fewer sources or disputed fields lower it), then capped at 100.Score 62.9
Ecosystem significance68th pct cheque for Seed × AI Applications (n=11); investor tier 98th pct (Antler India); 1 source12.3/18
Raw 61.5 × confidence 0.85Points from the rows above, multiplied by how sure we are of the facts (fewer sources or disputed fields lower it), then capped at 100.Score 61.5
30/30
Stage fitRound not named in the article0/20
Cheque fit$70K, outside $500K–$20M0/10
Tracked investorNo tracked investor0/12
Geography fitCity not reported0/5
RecencyBefore the current digest window0/5
Ecosystem significance5th pct cheque for Undisclosed × AI Applications (n=10); investor tier 39th pct (Amit Ashu); 1 source3.5/18
Raw 28.5 × confidence 0.85Points from the rows above, multiplied by how sure we are of the facts (fewer sources or disputed fields lower it), then capped at 100.Score 28.5
Tracked investorPeak XV Partners (lead), tracked12/12
Geography fitCity not reported0/5
RecencyBefore the current digest window0/5
Ecosystem significance95th pct cheque for Seed × AI Applications (n=11); investor tier 99th pct (Peak XV Partners); 2 sources15.8/18
Raw 87.8 × confidence 1Points from the rows above, multiplied by how sure we are of the facts (fewer sources or disputed fields lower it), then capped at 100.Score 87.8