Financial AI you can audit.
Our research program exists to answer one question: how do you make an LLM trustworthy enough to sit inside a CFO's workflow? Everything else follows from that.
Research pillars
Source traceability
Every output is grounded in a citation to the underlying record. We research retrieval and attribution methods that make this the default, not an add-on.
Financial reasoning
Models purpose-trained on financial and market data, benchmarked against hallucination and numerical-consistency tests specific to finance.
Human oversight
Research into interfaces and workflows that keep sensitive financial actions subject to human review, without slowing teams down.
Reproducibility
Same input, same output, same citations. We treat reproducibility as a safety property, not a nice-to-have.
Read what we've published.
Technical reports and benchmark results from the research team, updated as work ships.