Your edge is hypotheses tested per week.
Most research capacity disappears into gathering: pulling filings, cleaning data, rebuilding the same charts. Mezza puts agentic research workflows on top of your own data, so your analysts spend their hours on judgment. The system drafts the research. Your team decides what it means.
An assistant answers. An agent keeps going.
A chat tool gives you one pass over the documents. Mezza’s research agents run a loop: retrieve, reason, test, then go back when the evidence is thin.
It re-queries.
On an evidence gap it goes back to the sources and re-runs tests with different assumptions. It does not fill the gap with model recall.
It remembers.
Memory carries across the project: prior findings, dead ends, your team’s standards.
It reconciles.
Conflicting evidence is surfaced and reconciled, not averaged into mush.
Research that shows its work.
Signal discovery
Candidate signals generated from your market data, alternative data, and text sources, then screened against the failure modes that kill most of them: lookahead, survivorship, and overfitting to one regime.
Out-of-sample validation
Every candidate is tested on data it has never seen, across market regimes, with the full test protocol recorded. A signal that only worked in the backtest dies in the backtest.
Factor decomposition
New ideas are decomposed against known factors before they reach the desk. If a candidate is value plus momentum in a costume, the report says so.
Thesis assembly
For discretionary work: a dossier on a name or theme built from filings, transcripts, and your own notes, with an explicit list of what could not be verified.
Your data, your IP, your bar for evidence.
Data
Runs on your licensed data and internal research. We never train models on it for anyone else.
Ownership
Everything produced belongs to you, including the negative results.
Standards
Your research standards become system rules: required tests, minimum history, banned shortcuts.
Audit trail
Every claim cites its source and unverifiable claims are labeled as such. The full trail runs from raw source to final memo, ready for internal review.
Start with an assessment of your research stack and data, one pilot workflow judged on whether your analysts keep using it, or the full Drakkar Research module, integrated with risk and allocation.
How we workBring a hypothesis you never had time to test.
That backlog of untested ideas is the best evaluation set you own. In a first meeting, pick one. We will walk through exactly how the workflow would take it from question to documented finding.