// Offline // Montreal, QC //
[ TECH STACK ]
  • TypeScript
  • Python
  • LLM Orchestration
  • Vector Databases
  • Kubernetes
  • Multi-model Routing

Co-founded this with a few people who were tired of watching AI projects fail at the enterprise level. Prompteus is the infrastructure layer that makes AI actually work in production—workflows, multi-model routing, semantic memory, the governance and audit stuff that enterprises need but nobody wants to build.

We’ve shipped three products: Command (visual workflow editor for orchestrating AI), Memno (AI-assisted knowledge management with proper isolation), and Sequence (automation for repeatable tasks).

Most AI projects die between “cool demo” and “production.” Not because the AI doesn’t work—because nobody built the boring infrastructure parts. Cost control, audit trails, data governance, proper caching. We built that.

I’m co-founder and lead product and architecture. Hands-on from the first line of code. We hit six figures in ARR by end of 2025, which is decent validation that enterprises will actually pay for infrastructure that works.

2026 is where it gets interesting. We’re building the next generation of enterprise AI tools based on everything we learned about what companies actually need versus what they say they need. The gap between those two things is usually pretty wide.