Reasonix is the verifiable reasoning layer for financial decisions — every approval, flag, and denial justified by evidence a regulator can check, step by step.
Your models can make the decision at scale. When a regulator asks why, the honest answer is a vector of feature weights — not a reason you can defend.
Reasonix grounds each decision in cited evidence, decomposes it into explicit steps, and independently verifies every one — then assembles a regulator-ready record.
Request a technical walkthroughEvery downstream claim is tied to a retrieved, cited source — not the model's memory. If it isn't in the evidence, it doesn't enter the decision.
The decision decomposes into explicit sub-claims a human can read — each computed from the evidence and checked against the applicable policy threshold.
An independent pass re-checks every claim against its evidence and rule. Anything unsupported is surfaced and routed to a reviewer — never buried behind a confident score.
Explanation describes what a model did. Verification proves the decision was right. We build for verification.
One reasoning engine, three doors into your institution — credit, financial crime, and compliance — producing the same verifiable artifact for each.
Explore the platformAsk any decision "why," and get an answer that cites the exact evidence and policy behind each step — so reviewers sign off in minutes, not hours.
The artifact itself: a sealed, evidence-linked record that plugs straight into adverse-action notices, model-risk files, and exam response.
A live view of every decision, what was auto-issued, and where reasoning was caught before it shipped — model-risk monitoring your examiners will recognise.
Every step is checked against its evidence without trusting the model that produced it.
Each claim points to the exact source — a statement line, a tradeline, a policy clause.
Maps to ECOA / Reg B, SR 11-7 and the EU AI Act — documentation produced by default.
Sits on top of your existing models and vendors. No rip-and-replace, no lock-in of your stack.
Vaibhav founded Reasonix on a simple conviction: as AI moves deeper into lending, fraud, and compliance, institutions will be judged not on the decisions their models make, but on whether they can defend them. Capability without accountability is a liability waiting to surface.
Reasonix is his answer — a reasoning layer that makes every high-stakes financial decision verifiable, evidence-linked, and ready for the regulator's question before it's asked. He works hands-on with early design partners, shaping the product around real underwriting and compliance workflows.
"The winners in financial AI won't be the ones with the best black box. They'll be the ones who can prove their decisions."
Reasonix is designed for regulated financial environments: your data stays isolated, decisions are logged immutably, and the reasoning record is the audit trail. We deploy into your VPC, redact PII at the boundary, and never train shared models on your customers' data.