Cosavu for Enterprises
Cosavu sits between your enterprise data and any LLM, compiling the minimum relevant context, enforcing context budgets, and routing each request to the best model for the task.
The Problem
The model is not the bottleneck. Context is.
Most enterprise AI systems fail in production because context pipelines degrade as data grows. Retrieval drifts, context gets bloated, and teams compensate by fetching more chunks. Costs spike, latency becomes unpredictable, and quality becomes inconsistent across teams.
What breaks at scale
What is the problem of current day RAG and Context of LLMs
Cosavu compiles context like infrastructure
Cosavu is a context control plane that standardizes how enterprise teams retrieve, compress, and route context to models.
Context Optimization
Context Aware Retrieval
Context Budgeting
Model Routing
Retrieval Drift Detection
Enterprise Ready
FAQ
Your questions, answered with clarity
What is Context-Aware Retrieval?
Do we need to replace our LLM provider?
Can Cosavu run inside our VPC?
Is Cosavu just RAG?
How is Cosavu different from traditional RAG?
Does Cosavu choose which model to use for each request?
Make context predictable at enterprise scale
