An Applied AI finance lab
We build AI research for finance. A system of specialist agents does the work of a full research desk on live market data, and hands it back in minutes.
Deep research is slow. A single thorough report can take an analyst days, and most firms run lean enough that it rarely gets done at all. Venator does that work in minutes.
The infrastructure to coordinate fifteen specialist agents on live data did not exist before 2025. We built it for ourselves first, then opened it to the operators who needed it most. Today twenty finance professionals at family offices and RIAs run real workflows on Venator.
Every figure traces to SEC EDGAR, FRED, TreasuryDirect, or licensed market data. Agents flag uncertainty rather than fabricate. No black boxes.
The same fifteen agents underneath, shaped to each firm's process, philosophy, and compliance posture. Your Venator is yours.
Per-customer disclaimer frameworks, an append-only audit log of every analysis, and SOC 2 on the roadmap.
We are the customer. We build the research tool we always wished we had, alongside the wealth managers who use it every day.
Operators selling to operators
Walker Robinson
CEO
Built the agent architecture. AI engineer with a Master's in US foreign policy and national security, focused on AI.
Noah Kann
Chairman
Co-CEO of an active hedge fund. Three prior startup exits.
Ethan Kann
Co-Founder
Former Chief Research Officer at Sagetech Capital. Knows the workflows worth automating.
Matt Van Smith
CTO
Quantitative developer with a decade of personal capital in the markets. Knows production-grade financial code.
James Gibb
Treasurer
CFO at a multi-million-dollar startup. NYSE-listed CFO internships.
Arnav Gupta
CMO
Former Head of Marketing at AGI, Inc. Former CMO at Slashy, YC S25.