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Last updated: Mar 31, 2026, 04:00 AM UTC·March 2026·Rev 26LiveFunding +1%, 1 new deal·Methodology →
Quick Stats
Full analysis

Total Funding

$23.0B

-75%

Deals

96

-75%

GenAI Adoption

0%

-2pp

Top Deal

Legora Triples Valuation To

$5.5B

What Changed vs Previous Period

  • →Total funding fell 75% to $23.0B across 96 deals
  • →Deal count decreased 75% to 96 deals
  • →Average deal size fell 0% to $239M
  • →GenAI adoption fell 2pp to 0%
  • →Vertical Data Moats prevalence fell 3pp to 0%
  • →Continuous-learning Flywheels prevalence fell 3pp to 0%
  • →Series G share fell 32pp
  • →Series D share rose 19pp

Since Last Update

  • Δ1 new deal tracked since last update
  • ΔFunding up 1% vs previous revision
View archive →

March 2026 Intelligence Brief

The AI Builder's Intelligence Brief

What $23.0B in AI funding reveals about where the industry is heading.

Generated: March 31, 2026

Executive Summary

March 2026 saw $23.0B deployed across 96 deals. The average deal size was $239M, with Legora Triples Valuation To leading at $5.5B. GenAI adoption stands at 0%. Unknown captured 100% of funding.

Builder ActionsNext 7 days

Prioritize GTM depth in Unknown — it captured 100% of funding this period.

Funding concentration indicates where budgets and urgency are strongest right now.

Unknown

Funding contracted 75% — extend your runway and prioritize unit economics.

Capital contraction rewards capital efficiency; unit economics become the investor pitch.

Dealbook
By the NumbersView all deals
MetricValuevs Prev
Total Funding$23.0B-75%
Total Deals96-75%
Average Deal Size$239.4M—
Median Deal Size$24.5M—
Largest Deal$5.5B (Legora Triples Valuation To)—
GenAI Adoption Rate0%-2pp
This Month's Theme

AI Ecosystem Update

  • •96 deals totaling $23.0B in funding
  • •GenAI adoption at 0% across analyzed startups
  • •Diverse pattern adoption across the ecosystem
  • •Unknown leads sector funding with 100% share (+67pp vs prev)
  • •Median deal size: $25M
Pattern LandscapeFull signal analysis
PatternPrevalenceShiftStartupsSignal
Vertical LandscapeExplore sectors

Top Verticals

VerticalFundingShareShiftStartups
Unknown$23.0B100%+67pp243

Top Subverticals

Market Landscape
Series D
$9.2B7 deals+19pp
Seed
$3.2B25 deals—
Pre-Seed
$3.1B11 deals+14pp
Series B
$2.8B18 deals+8pp
Series C
$2.6B7 deals-6pp
Series A
$1.6B27 deals—

The Insight: Late-stage dominates dollar volume (40%), but seed deals dominate count (25 deals). The market is bifurcating: mega-rounds for proven winners, active seed for exploration.

Top DealsView all companies
#CompanyFundingStageLocationVertical
1Legora Triples Valuation To$5.5BSeries D—
2Hosel$3.0BPre-Seed—
3Aetherflux$2.0BSeries B—
4Nvidia-backed Nscale$2.0BSeries C—
5Three$1.0BSeed—
6Yann LeCun's AI startup$1.0BSeed—
7Grow Therapy Hits$1.0BSeries D—
8Cursor Hit$1.0BSeries D—
9AMI Labs Raises Record$1.0BSeed—
10Legaltech Legora$550.0MSeries D—
Geographic Intelligence
RegionDealsTotal FundingAvg Deal
Unknown96$23.0B$239.4M

US Dominance

$0

California alone (0% of all funding)

Emerging Hubs

Investor Intelligence

Most Active Investors

InvestorDealsDeployed

Mega-Check Writers

InvestorInvestmentCompany
Capital Graph PulseExplore network

Most Connected Investors

InvestorStartupsLead Edges
Andreessen Horowitz77
Lightspeed Venture Partners77
Sequoia Capital77
Y Combinator66
Bessemer Venture Partners55
Khosla Ventures55
Accel44
Ant Group44

Most Connected Founders

FounderStartups
Dila Ekrem1
Duc-Trung Nguyen1
Giacomo Bruno1
Hakan Timur1
Mustafa Çakır1
Noah Morris1
Ozan Yurtsever1
Soner Abay1

Implications

1. Follow the funding signals

$23.0B 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

Diverse patterns suggest the market is still exploring optimal architectures.

How to apply: Evaluate whether adopting leading patterns accelerates your time-to-market.

What We're Watching

  • →Monitoring deal flow velocity for early signals of market shifts
  • →Tracking emerging pattern adoption trajectory
  • →Watching for new entrants challenging established players
  • →Observing geographic expansion of AI funding beyond traditional hubs
Read the full report in Deep Dives→