Built to solve a problem we kept hitting.
At every company, the same bottleneck: data infrastructure that couldn't keep up.
Our Story
The pattern showed up at every company. The data infrastructure that worked at 10 customers broke at 1,000. Search, analytics, and graph queries each needed their own system. Integration overhead compounded. Engineering time went to plumbing, not product.
Catalyzed started in September 2025 as an attempt to build the engine that should have existed: search, graph traversal, and columnar analytics in one system, queryable with standard SQL. Within six months, four software vendors had embedded it in their products.
How We Think
Data is the foundation
AI is a use case, not an identity. We solve data problems well, and that happens to make us great for AI workloads.
One engine, not five
Consolidation creates leverage. When search, graph, and analytics share a storage layer and query planner, every optimization compounds across all three.
Partnership over product
Our partners ship Catalyzed inside their products. Their roadmap shapes ours. We succeed when they do.
The Team
Advisors
Howard Quon
Partner, PwC Canada (21 yrs)
Technology sector leader. Board member, Quantum Valley Ideas Lab.
Richard Guttman
Former CLO, AlayaCare
25+ years as General Counsel across enterprise tech.
Chris Jones
Principal Engineer, Lumi AI
Scaled SaaS from $1M to $10M as VP Engineering.
We're hiring
Building the data engine for the next generation of software. We're looking for engineers who want to work on hard infrastructure problems.
View open positionsReady to talk?
Whether you're building a data product or evaluating infrastructure, we'd like to hear what you're working on.