We build the trustworthy data layer for enterprise AI
Gopherlabs was founded by engineers who shipped production RAG at scale — and got tired of watching teams reinvent the same broken pipeline.
Mission
Enterprise AI fails on data, not on models. Our mission is to make every enterprise's data fit for the models it wants to use — cleaned, governed, observable, and continuously evaluated.
What we believe
The model layer is commoditizing. The data layer is the durable moat. Teams that own clean retrieval today will outship teams chasing the latest model next quarter.
How we work
Security first
PII redaction, ACLs, and lineage aren't features. They're how we engineer everything.
Measure or move on
If we can't show retrieval quality improving, we change the approach. Evidence beats opinion.
Long-term partnership
We optimize for your team owning the pipeline — not for billable hours next quarter.
Radical transparency
You see the code, the evals, the cost. No black boxes from your data partner.
Engineers who've shipped this before
We're a small, senior team. You'll work with the people who write the code.
Want to work with us?
We're hiring senior data and ML engineers, and we'd love to hear from teams shipping AI in regulated industries.