Citra Decision System - Decision apps that learn your experts' judgement

Hi Product Hunt 👋 I'm Rohit. We built Citra for the decisions that carry real money — approving a loan, settling a claim, releasing an aircraft part, clearing a substation. The ones where an experienced person still has to look. The problem. A loan file passes every automated check: payslips, bank statements, good credit score. Six months later it defaults — the employer never existed. An experienced officer would have caught it, not from the file, but because they know sourcing agents get paid when a loan is disbursed, not when it's repaid. So on those files, they just phone the employer. That knowledge isn't in your data. There's a field for whether an income document is present — none for whether it's true. And it isn't in your policy either. It's in one person's head, and it leaves when they do. What we built. Describe your operation in plain English and Citra builds a working app over your own database — or an API, or a card embedded in the screen your team already uses. Every case arrives analysed, scored and recommended, with the policy passage it cites. Then the important bit: when your expert overrides it, it asks why. When three different experts make the same correction, it becomes a rule — named, attributed, and switchable off — and the next matching case is decided with it. We tested honestly, and published the failure. We seeded four rules and ran the same files twice, each rule on and off. Three did nothing at all — they restated policy the system could already read. The fourth raised a verification check on 14 of 19 files versus 1 without it. We publish the three failures because they're what make the fourth believable. Apache-2.0, self-hosted, runs on open models — your data never leaves your infrastructure. visit at https://github.com/Trustedwear-T... I'd love to hear where you'd point this in your own operation. Happy to answer anything.