AI Due Diligence &
Risk Management.
Proof powered by AI. Every finding linked to source. Every conclusion defensible. Built for VC, PE and M&A.
The shift
AI is no longer just supporting work — it's moving inside the workflow.
- 01Software development
- 02Legal and document analysis
- 03Enterprise knowledge access
- 04Operational workflows
That's what the Forbes AI 50 reveals: AI is no longer a standalone tool — it's the workflow layer.
Problem
Traditional due diligence is broken.
Slow, expensive, prone to human error. Most deals get shallow analysis — funds are forced to decide without proof.
The problem isn't analysis. Verification is missing.
Solution
SolaVeritas.ai compresses due diligence.
Decision speed becomes a competitive edge.
Deep analysis is now economical on every deal.
Contradictions surface. Every finding ships with an auditable source.
The critical difference: the output can be defended.
Click any citation. The source opens.
Every finding — bound to its source.
Founder identity
Co-founded by Bora Gemicioğlu¹, active in M&A.
Financial figure
FY2023 revenue reported as $2.4M¹.
Cross-document contradiction
Share counts disagree across two filings¹².
Missing document
DPA requested — not found¹.
Names. Numbers. Contradictions. Missing pieces. All traceable.
Competition
Different systems.
Different optimization paths.
| Category | What they are building | SolaVeritas difference |
|---|---|---|
| Harvey / Irys | AI legal workspaces for drafting, research, review, agents, and legal productivity | Our focus is defensible and verifiable due diligence conclusions |
| Legora | Collaborative AI workflows and legal operations orchestration | We focus more on evidentiary validation and consistency |
| General AI / LLMs | Broad reasoning, summarization, retrieval, and tool usage | We use AI inside a verification architecture |
| Traditional DD | Human-led legal review and judgment | We structure verification across large document sets |
| SolaVeritas | Verification infrastructure for due diligence | Claim → source → contradiction check → missing evidence → defensible conclusion |
Speed matters. But in due diligence, defensibility is the constraint.
Moat
Defensibility compounds.
It operates through source lineage, control layers, and validation logic.
The system shows not only what exists, but what is missing, contradictory, or unsupported.
Contradiction patterns, legal edge cases, document structures, and failure scenarios compound with usage.
Over time, the moat comes less from model access and more from accumulated verification intelligence: citation lineage, cross-document consistency, defensibility logic.
Not a model moat. A continuously hardened defensibility layer.
Team
Three founders who lived the problem.
Legal + Technical + Operational execution.
Founder of Gemicioğlu Law. Active in startup, M&A and VC mandates. Worked at the source of the real DD problem.
20+ years in technology. Systems architecture and data infrastructure. The depth required to build this pipeline.
20+ years in international management, sales and operations. Go-to-market and execution.
+ Lawyers, engineers, and a sales team. The legal team drives real usage and feedback; engineers iterate fast.
Go-to-market
Build in Turkey. Scale abroad.
Motion
10–50 DDs per fund per year.
In-house diligence units and advisory firms.
Big 4, banks, family offices — SSO, DPA, dedicated region.
Geography
London-centric VC and PE base. First expansion market.
EU-residency advantage in a GDPR-native market. Parallel with UK.
Largest market. Enterprise-ready stack. Speed is the moat.
What we need: Access · Expertise · Network