What Changed vs Previous Period
The AI Builder's Intelligence Brief
What $62.0B in AI funding reveals about where the industry is heading.
Generated: April 1, 2026
March 2026 saw $62.0B deployed across 323 deals. The average deal size was $192M, with Nscale leading at $14.6B. GenAI adoption stands at 31%. Vertical Data Moats remains the dominant build pattern at 86% prevalence. Information Technology & Enterprise Software captured 47% of funding.
Adopt Vertical Data Moats as table stakes — 86% of funded startups already ship it.
At 86% prevalence, not having Vertical Data Moats is now a competitive disadvantage.
Adopt Continuous-learning Flywheels as table stakes — 82% of funded startups already ship it.
At 82% prevalence, not having Continuous-learning Flywheels is now a competitive disadvantage.
Prioritize GTM depth in Information Technology & Enterprise Software — it captured 47% of funding this period.
Funding concentration indicates where budgets and urgency are strongest right now.
Prioritize GTM depth in Unknown — it captured 35% of funding this period.
Funding concentration indicates where budgets and urgency are strongest right now.
| Metric | Value | vs Prev |
|---|---|---|
| Total Funding | $62.0B | -20% |
| Total Deals | 323 | -15% |
| Average Deal Size | $191.8M | -6% |
| Median Deal Size | $15.0M | — |
| Largest Deal | $14.6B (Nscale) | — |
| GenAI Adoption Rate | 31% | +29pp |
| Pattern | Prevalence | Startups |
|---|---|---|
| Vertical Data Moats | 86% | 195 |
| Continuous-learning Flywheels | 82% | 187 |
| Agentic Architectures | 73% | 167 |
| RAG (Retrieval-Augmented Generation) | 65% | 149 |
| Guardrail-as-LLM | 61% | 140 |
| Knowledge Graphs | 60% | 137 |
| Natural-Language-to-Code | 57% | 131 |
| Micro-model Meshes | 7% | 17 |
| Retrieval-Augmented Generation (RAG) | 5% | 11 |
| Micro-model Meshes (multi-model orchestration) | 1% | 3 |
#1 Signal
Vertical Data Moats
Dominant pattern — adopted by 86% of startups
#2 Signal
Continuous-learning Flywheels
Dominant pattern — adopted by 82% of startups
#3 Signal
Agentic Architectures
Dominant pattern — adopted by 73% of startups
| Vertical | Funding |
|---|---|
| Information Technology & Enterprise Software | $29.0B |
| Unknown | $21.8B |
| Financial Services | $2.3B |
| Industrial & Manufacturing | $2.3B |
| Government & Public Sector | $2.2B |
| Legal | $1.6B |
| Healthcare & Life Sciences | $1.5B |
| Transportation & Mobility | $508.1M |
Cloud Infrastructure/DevOps
Information Technology & Enterprise Software
$15.7B
39% share (+39pp)
AI/ML Platforms
Information Technology & Enterprise Software
$12.3B
31% share (+29pp)
Defense/Military Tech
Government & Public Sector
$2.2B
6% share (+6pp)
Robotics & Automation
Industrial & Manufacturing
$1.5B
4% share (+1pp)
AI Legal Assistant
Legal
$1.5B
4% share (+4pp)
Cryptocurrency/DeFi
Financial Services
$1.0B
3% share (+3pp)
WealthTech (Investing)
Financial Services
$1.0B
2% share (+2pp)
Biotech & Drug Discovery
Healthcare & Life Sciences
$923.6M
2% share (+2pp)
Information Technology & Enterprise Software
47% share
$14.6B Series C
No linked signals in top set.
The Insight: Late-stage dominates dollar volume (29%), but seed deals dominate count (116 deals). The market is bifurcating: mega-rounds for proven winners, active seed for exploration.
| # | Company | Funding |
|---|---|---|
| 1 | Nscale | $14.6B |
| 2 | OpenAI | $10.0B |
| 3 | Legora Triples Valuation To | $5.5B |
| 4 | Hosel | $3.0B |
| 5 | Nvidia-backed Nscale | $2.0B |
| 6 | Aetherflux | $2.0B |
| 7 | Shield AI | $2.0B |
| 8 | Three | $1.0B |
| 9 | Advanced Machine Intelligence | $1.0B |
| 10 | Yann LeCun's AI startup | $1.0B |
| Region | Deals | Total Funding |
|---|---|---|
| Unknown | 88 | $21.7B |
| North America | 132 | $19.7B |
| Europe | 62 | $18.5B |
| Asia | 36 | $1.9B |
| Oceania | 2 | $125.9M |
| South America | 3 | $6.4M |
$0
California alone (0% of all funding)
| Investor | Deals | Deployed |
|---|
| Investor | Investment | Company |
|---|
| Investor | Startups | Lead Edges |
|---|---|---|
| Andreessen Horowitz | 14 | 14 |
| Lightspeed Venture Partners | 11 | 11 |
| Y Combinator | 11 | 11 |
| Sequoia Capital | 9 | 9 |
| Accel | 7 | 7 |
| Khosla Ventures | 7 | 7 |
| Bessemer Venture Partners | 6 | 6 |
| General Catalyst | 6 | 6 |
| Founder | Startups |
|---|---|
| Dila Ekrem | 1 |
| Duc-Trung Nguyen | 1 |
| Giacomo Bruno | 1 |
| Hakan Timur | 1 |
| Mustafa Çakır | 1 |
| Noah Morris | 1 |
| Ozan Yurtsever | 1 |
| Soner Abay | 1 |
Nscale secured $14.6B in Series C, making it the largest deal this period.
Risk
Execution risk in a competitive market.
Key Takeaway
Watch how Nscale scales its core technology advantage.
1. Follow the funding signals
$62.0B deployed this period suggests strong investor conviction in AI infrastructure plays.
How to apply: Align your pitch with funded patterns — investors are validating these bets.
2. Pattern adoption matters
Vertical Data Moats at 86% adoption signals market readiness.
How to apply: Evaluate whether adopting leading patterns accelerates your time-to-market.
