We are engineers, scientists, and fraud fighters

We’re a team of engineers and fraud experts dedicated to helping financial institutions stay ahead of fraudsters.

In 2017, we set out to build the first document fraud detection product. Today, we process millions of applications each year and work with many of the leading fintechs and banks across the U.S.

We believe the game of cat-and-mouse in fraud requires a fundamentally new approach. With care for our customers, attention to detail, and grounded execution, we’re reimagining how fraud is detected and prevented.

Founding story

Risk teams, still stuck with manual reviews, are falling behind.

That’s the problem we originally set out to solve. Our early experience in an Irish bank revealed just how broken manual review processes were: slow, inconsistent, and unable to keep pace with evolving fraud.

Since then, we’ve helped financial institutions of all sizes fight document fraud in the real world. And today, we’re the first to deploy an agentic document fraud detection platform. Our AI Agents are continuously trained on identifying fake documents and tested against the latest fraud tactics.

Mission

Catch fraud with confidence

We empower risk teams to catch fraud with speed and clarity, reducing errors while freeing teams to focus on what matters most.

Vision

AI for the modern fraud fighter

We’re building AI that reasons through complexity, uncover what humans can’t see, and keep risk teams one step ahead.

Team snapshot

Inscribe’s risk operations team bring 17+ years of frontline fraud-fighting experience from LendingClub, Chime, TikTok, humm group, ME Bank, and investigate complex cases, hand-label document data and guide our strategy.

Our data scientists have 20+ years of combined industry experience with backgrounds in physics, statistics, and advanced modeling. And our machine learning engineers, who come from industry-leading software teams like Intercom and Stripe, turn their cutting-edge research into production-grade systems that scale.

Daragh

Risk Operations Lead

Jessica

Risk Operations Analyst

Martina, PhD

Staff Research Scientist

Michael, PhD

Staff Research Scientist

Louise

Machine Learning Engineer

Raphael

Machine Learning Engineer

Company Values

Know your customer

Our customers are our north stars, driving us to deeply understand their pain points and address these with thoughtful solutions.

Nail the details

Details serve as the cornerstone of excellence, reflecting our care, craft, and high standards in everything we do, from code quality and design to customer relationships.

Be grounded

We approach every day and each situation with low egos and clear minds, embracing successes and setbacks to make balanced decisions and meaningful connections.

Investors

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