Built by people who've sat on both sides of the fraud desk.
Invixa started with a question: why do small and midsized UK businesses face so much invoice fraud with so few tools built to protect them? We built the system we thought should exist, end to end, and we're now proving it works in real pilots.
From Warwick University to stopping financial fraud.
Invixa was built by a team from Warwick Business School's MSc Business Analytics programme, drawing on direct experience inside bank fraud teams, enterprise product, and second time founding. We started by benchmarking six existing invoice AI products and found the same three gaps in every one of them: no real explainability, no defence against AI manipulation, and pricing built for enterprise budgets, not SMEs.
The result: a working system that screens every invoice against six categories of known fraud risk, in seconds, for less than the price of a stamp, built for exactly the businesses enterprise tools price out.
Since founding
The Invixa record
Approach
Benchmarked against 6 leading invoice AI platforms
Recognition
Winner, Google Cloud Hackathon
On stage
Google's London Demo Day & Warwick's Gillmore Centre for Financial Technology
IP
The Canary Layer: patented technology
Built on evidence, not assumptions.
Every decision Invixa makes comes with the reasoning behind it, not a black box score you're expected to take on faith. That discipline is what lets your team act on a flag immediately, and hand a clean answer to an auditor without missing a beat. Our full methodology is on the Security & Trust page.
Evidence over assertion
Every flag comes with the reasoning behind it, not just a score so your team can act immediately and explain the decision to an auditor without digging for the why.
Gets sharper with every decision
Every reviewer decision feeds straight back into the system, so detection gets more accurate for your business the longer you use it, no manual retraining required.
Built specifically for SMEs
Not a scaled down enterprise tool. Pricing, onboarding, and support are designed around how a lean finance team actually works, so you get full value from week one.
Built by a team that knows fraud, finance, and engineering.
UCL Computer Science. WBS MSc Business Analytics. Incoming TDI Analyst, Deutsche Bank.
Data Science & AI at Lloyds Bank. WBS MSc Business Analytics.
Founder, Zenture IT. Second time founder. WBS MSc Business Analytics.
Ex product executive, Genesys. University of Mumbai, Accounting & Finance. WBS MSc Business Analytics.
Want to be one of our first design partners?
We're onboarding a small number of UK SMEs for the 2026 pilot programme.