Deterministic execution for financial data

A system that makes AI outputs reliable, auditable, and safe to use in regulated financial workflows.

What it does

Kanika sits between AI and financial data systems — constraining how queries are interpreted and executed so every result is validated, traceable, and reproducible.

Constrains queries to defined schemas
Blocks ambiguity and unsafe requests
Executes through approved paths
Produces fully auditable, replayable outputs

Why it matters

AI is being embedded into financial systems, but probabilistic outputs are not safe to use in regulated workflows. Kanika introduces the deterministic execution layer that makes those workflows usable in production.

Current progress

Working MVP live
Demo in investor conversations
Early RIA design partner discussions
Currently raising seed round

Founded by a former asset manager and Chief Compliance Officer with firsthand experience through multiple SEC exams, including an AI-focused limited-scope exam.