Investor Notes
Technical diligence, deal risk, and clear outside reads for investors moving on AI companies.
- Diligence
5 AI Red Flags We See in Every Other Technical DD
Certain technical patterns appear often enough in AI startup diligence that they become the first places to look for risk, weak assumptions, and negotiating leverage.
- Diligence
Vendor Lock-In Is the Technical Risk Most Angels Miss
Vendor dependency is not automatically fatal, but it changes risk, valuation, and leverage. Good technical diligence makes that visible before you wire.
- Diligence
What Happens to Your Investment When the Startup Pivots or Kills the Product
A pivot is not automatically a problem. The real question is whether the company has the technical foundation to change direction without losing months rebuilding.
- Diligence
The Deal Is Moving Fast. That's Exactly When You Need a Second Technical Opinion
Fast-moving deals do not eliminate the need for technical diligence. They make a fast, credible outside read more important before you wire.
- Diligence
The AI Startup You're Evaluating Probably Has a Workflow Problem, Not an AI Problem
Most AI startup risk does not come from the model itself. It comes from weak workflows that automation exposes and then amplifies at scale.
- Diligence
You're Writing a Check With Incomplete Information
Technical diligence does not remove uncertainty. It improves the quality of the commitment you make when the code, architecture, and risk picture are still incomplete.
- Diligence
What “We Built It In-House” Really Means for Your Investment
A startup saying it built the tech in-house does not tell you whether the architecture creates leverage, durability, or just disguised vendor dependency.
- Diligence
When Your Own Tech Read Isn't Enough
Five signs your internal technical read on a startup deal is no longer enough and why an outside diligence view can save you from expensive conviction drift.
Technical Due Diligence
Need a fast technical read before you wire?
See the diligence offer for a written report and live debrief on product, code, AI claims, and execution risk.
Operator Notes
Operator-focused lessons on execution, pricing, fundraising readiness, and real-world AI metrics.
- Capital
5 AI Startup Cost Metrics for 2025
Learn the 5 essential AI startup cost metrics for 2025. Master gross margins, CAC ratios, and inference costs to achieve sustainable growth
- Capital
5 AI Revenue Metrics for 2025
Stop selling dollars for 90 cents – here's how to measure what actually matters for AI profitability.