Built by engineers who wished this existed.
We're data engineers and MLOps experts who got tired of rebuilding the same infrastructure at every company.
Our Story
We met at OnCall Health - Thomas as tech lead, Helen as product manager. We watched the same pattern repeat: the data infrastructure that was "good enough" at the start became the bottleneck as the company scaled. Public datasets went stale. Vector databases broke at a million records. Evaluation was an afterthought bolted on too late.
We've seen this pattern repeat across industries - legal, healthcare, cybersecurity, accounting. Teams spend months building infrastructure that already exists elsewhere, then more months maintaining it. Meanwhile, their actual product sits waiting.
Catalyzed is what we wished existed: data infrastructure that handles the undifferentiated work so teams can focus on what makes their product unique. Not just tools, but a team that stays current as the AI field advances.
How We Think
Data is the foundation
AI is a use case, not an identity. We're a data company that happens to be great for AI workloads - because we solve data problems well.
Expertise compounds
The best systems learn from the people who use them. Domain experts should shape how AI behaves, not just consume its outputs.
Partnership with product
We build products that help our partners succeed. Our roadmap follows yours, and we keep pace as the AI field changes.
The Team
Thomas Santerre
Co-founder & CEO
Previously engineering lead at Borderless AI, OnCall Health, and PayPay. Specializes in data systems that don't break at scale.
Ready to talk?
Whether you're building your first AI feature or scaling an existing product, we'd love to hear about what you're working on.