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.
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.
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 analyts brings frontline fraud-fighting experience from LendingClub, Chime, ME Bank, and many more to 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 AI engineers come from industry-leading teams like Intercom and Stripe.
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
