Researchers
We bridge the gap between lab prototype and deployable system. Full-stack AI capabilities—data engineering, MLOps, evaluation frameworks—with grant timeline awareness and knowledge transfer built in.
How we can help
Your prototype works in the lab but not at scale.
You need product thinking, not just engineering.
Your grant timeline doesn't allow for infrastructure detours.
You're not sure which ML approach fits your problem.
Why choose us
Our Mila partnership keeps us current on AI research while our startup experience keeps us practical. We've shipped 40+ products and know what it takes to go from paper to production.
Our methodology
Collaborative scoping.
We work with you to define success, like technical milestones, business outcomes, and what production-ready means for your specific context.
Systematic experimentation.
We test multiple approaches with consistent evaluation metrics before committing to an architecture.
Production engineering from day one.
Every prototype is designed for evolution into a production system. We build with scalability, reliability, and maintainability in mind from the start.
Knowledge transfer.
We document everything and train your team so you can continue building independently—whether that's your first engineering hires or your lab's next cohort.
What we delivered
- 97%+ performance optimization (30-second P99 → sub-second) for a biotech research intelligence platform.
- Accuracy improvements from 29% → 95% through systematic data quality and model iteration.
- Production-grade RAG systems serving university research portfolios.