AI Builders Global Conference 2026. October 14-16, 2026. Online.
AI Due Diligence: How VCs Evaluate Technology, Teams & Traction
This description belongs to the 2026 topic catalog. The 2027 program is being prepared separately.
What happens after the pitch? VCs walk through their complete due diligence process for AI companies: technical evaluation (is the AI actually differentiated?), data moat assessment (is the data advantage sustainable?), team evaluation (can this team execute?), reference checks, competitive landscape analysis, and the specific red flags that kill deals, from inflated metrics to overfit demo models.
Questions explored in the 2026 topic catalog
- How do VCs technically evaluate whether a startup's AI is real?
- What data moat tests do investors apply?
- How important is team composition vs. technology in DD?
- What red flags instantly kill a deal during due diligence?
- How do VCs validate go-to-market claims and metrics?
- What reference checks reveal the most about a founder?
Who this topic is for
Founders preparing for fundraising, startup CFOs, new VC associates, and corporate BD teams evaluating AI vendors.
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