40% of deals fall apart during technical DD. Not because the tech is bad — because it's not documented, not tested, not ready for scrutiny. The DD Failure is preventable. This service uses investor-side DD methodology to prepare you for the exact scrutiny you'll face. Not a checklist from a blog post — a structured preparation by someone who professionally evaluates startups for the investors you're pitching. I've done 30+ DD assessments from the investor side. I know what kills deals and what investors negotiate around.
You're raising in 3-6 months, but your codebase has accumulated 18 months of technical shortcuts. You don't know which shortcuts investors will flag and which they'll ignore. Over-fixing wastes capital. Under-preparing kills deals.
Your 'data room' is a Google Drive folder with an outdated README, a whiteboard photo that serves as your architecture diagram, and no security documentation. That's not a data room. That's a DD failure waiting to happen.
A competitor who raised last quarter told you they got grilled on EU AI Act compliance and SOC 2 readiness. You haven't even started thinking about compliance. They closed. You're still preparing.
You don't know the difference between a deal-killer finding and one investors negotiate around — so you're either spending 3 months fixing cosmetic issues or missing the critical ones that actually end negotiations.
A 6-8 week program that uses the same methodology from 30+ investor DD assessments — turned inward. Every finding is prioritized by deal-killer probability, not generic severity.
Run investor-side DD methodology on your company. Architecture review, code quality assessment, security scan, team evaluation, AI moat analysis, EU AI Act classification, documentation audit. Find what investors will find.
Score findings by deal-killer probability from real DD data. Fix the critical issues. Document mitigation strategies for the rest. Not everything needs fixing — but deal-killers must be resolved.
Build a clean data room that answers investor questions before they're asked. Architecture docs, security overview, team capability matrix, scaling roadmap, compliance status. Formatted the way investors expect.
Compressed mock DD session with real investor-grade questions. Practice the hardest technical questions. Prepare honest disclosure strategies for unresolved issues. Build confidence.
A fundraising preparation methodology built from 30+ investor DD assessments. Every preparation step is informed by what actually matters to investors — not generic best practices.
Startups 3-6 months from fundraising at any stage — Seed, Series A, Series B. Founders who failed DD in a previous round and need to fix what went wrong. Companies where the technical foundations are solid but the presentation is weak. For deeper preparation, consider the Series A War Room.
Fundraising Tech Prep is a 4-8 week structured preparation. The Series A War Room is a 6-week intensive adversarial simulation with deep remediation. Think of Tech Prep as 'get organized and fix the obvious issues' and War Room as 'simulate the actual DD experience and battle-test everything.' Most startups start with Tech Prep; those raising €5M+ or who failed previous DD benefit from the War Room.
Ideally 4-6 months before fundraising begins. This gives time for the preparation program plus buffer for any remediation that takes longer than expected. Minimum 3 months — otherwise consider the compressed track.
Absolutely. Many VCs aren't deeply technical but still want confidence that the technology is sound. The data room and narrative are specifically designed to build confidence for both technical and non-technical investors. Clear architecture diagrams, honest risk disclosure, and a compelling scaling story work for any audience.
Pre-revenue startups face different DD scrutiny — less about metrics and more about architecture potential, team capability, and AI moat defensibility. The preparation is adapted for your stage. Investors at Seed or pre-Seed evaluate technology potential differently than Series A investors who want production evidence.
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