An applied AI finance lab.
We build agentic AI research for institutional finance. Not a chatbot. A coordinated team of fifteen specialist agents working live market data into accountable, decision ready analysis.
A single Wall Street analyst costs roughly $170,000 a year. The vast majority of registered advisory firms have fewer than fifty people, and they cannot afford one. Venator gives them the research desk anyway.
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 could not afford to buy, 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 AI policy.
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.