Build Atlas turns funded AI companies into decision-grade dossiers: product wedge, moat, execution, and category momentum—so builders can learn and investors can underwrite faster.
201
Companies tracked
$31.1B
Capital mapped
6
Build patterns detected
55%
GenAI adoption
Decision-grade dossiers across: Wedge, Moat, Execution, and Momentum—grounded in architecture, data advantage, and GTM.
A concise monthly thesis on what changed, why it matters, and implications for builders and investors.
Searchable company-level breakdowns with architecture, stack, positioning, and confidence-scored signals.
Emerging build patterns detected across startups, with confidence levels and failure modes.
Every dossier is backed by evidence. Every signal is detected from real implementation data.
Average deal size reached $154.6M. Capital is concentrating on fewer, more infrastructure-heavy plays. Implication: the middleware layer is heating up.
201
Companies tracked
$31.1B
Capital mapped
6
Patterns detected
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Build Atlas combines automated data collection from 50+ sources with LLM-powered architecture detection to deliver actionable startup intelligence for builders and investors. Every dossier includes evidence counts, confidence scores, and source attribution.
Read our methodologyWe publish a new Brief by the 5th of each month covering the previous month. Company dossiers are refreshed continuously as new information surfaces.
Seed through Series D, with a focus on AI and AI-adjacent companies. We include deals $1M+ to maintain signal quality.
Our system analyzes company websites, documentation, job postings, and technical content to identify stack choices and architecture patterns. Each signal includes a confidence score.
No. Browsing is open. An account only enables watchlists, saved filters, and personalized recommendations.
Yes, dossiers can be exported to CSV and briefs can be downloaded as PDF.