CosavuAbout
We're building the
context layer
for every LLM.
Cosavu is a small, opinionated team building the infrastructure that sits between your application and any large language model — so the model gets exactly what it needs and nothing more.
Our story
Three years before
we wrote a single line.
In 2022 we kept hitting the same wall on every AI project. The model wasn't the bottleneck. The retrieval was. The prompt was. The cost was. The latency was. Everything around the model.
We tried every off-the-shelf RAG library. Every prompt-compression hack. Every framework promising to make agents reliable. They worked in demos. They fell apart at 10× scale.
So we spent three years building the missing layer. Not a wrapper. Not a framework. The actual infrastructure: a trained RL compression engine, a hybrid retrieval system, a typed prompt compiler, a production agent runtime.
That's Cosavu. Three products. One intelligence layer. Built so you never have to.
Principles
How we
work.
01
First principles, not wrappers
We don't repackage someone else's models with a clever UI. STAN-1-Mini, the Engram filter, the PromptIR compiler — every piece is built from scratch, in-house, for production.
02
Measure what ships
Benchmarks are interesting. Production p99s are real. We optimise for the latter even when it makes the former look worse.
03
Cost is a feature
If we can't make it cheaper than what you'd build yourself, we haven't done our job. Predictable bills are a design constraint, not an afterthought.
04
Boring infrastructure
Customers shouldn't have to think about us. Multi-region failover, signed update bundles, transparent status pages. The least interesting kind of vendor to operate.
Join us
Want to build the
context layer with us?
We're hiring across research, engineering, and go-to-market. Remote-friendly with hubs in San Francisco and Bangalore.