About Invixa

Built by people who've sat on both sides of the fraud desk.

Invixa started as a question: why do the businesses most exposed to invoice fraud — small and mid-sized UK companies with no dedicated fraud team — get the least amount of tooling built for them? We built the system we thought should exist, end-to-end, and we're now proving it works in real pilots.

Our story

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

Invixa — the record

Approach

Benchmarked against 6 leading invoice-AI platforms

Researched

Recognition

Winner, Google Cloud Hackathon

Awarded

On stage

Google's London Demo Day & Warwick's Gillmore Centre for Financial Technology

Presented

The Canary Layer — patented technology

Patented

How we work

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.

The team

Built by a team that knows fraud, finance, and engineering.

Baris Cavusoglu

CEO

UCL Computer Science. WBS MSc Business Analytics. Incoming TDI Analyst, Deutsche Bank.

Alfie Cooper

CTO

Data Science & AI at Lloyds Bank. WBS MSc Business Analytics.

Hrishikesh Tavar

COO

Founder, Zenture IT. Second-time founder. WBS MSc Business Analytics.

Shikhar Jaiswal

CFO

Ex-product executive, Genesys. University of Mumbai — Accounting & Finance. WBS MSc Business Analytics.