# Cosavu ### Context Intelligence for Enterprise AI Build AI systems that are **cheaper**, **more reliable**, and **production-ready** through intelligent context allocation.

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[Website](https://cosavu.com) • [Documentation](https://docs.cosavu.com) • [Hugging Face](https://huggingface.co/Cosavu)
--- ## AI doesn't have an intelligence problem anymore. It has a **context problem**. Today's LLMs are incredibly capable, yet most production AI systems still suffer from: - Rising inference costs - Hallucinations from weak retrieval - Context window bloat - Unnecessary model calls - Poor governance and observability The bottleneck isn't the model. It's **what reaches the model.** --- # What is Cosavu? Cosavu is a **Context Intelligence Layer** that sits between enterprise data and Large Language Models. Instead of sending everything into an LLM, Cosavu determines: - What information should be retrieved - What should be ignored - What must remain verbatim - What can be compressed - Which model should execute the task - How much context is actually required - How the output should be governed The result is AI that costs less, responds faster, and produces more reliable answers. --- # Core Technologies ## STAN **Synergistic Token Allocation Network** Our decision engine that dynamically allocates context, optimizes token usage, routes requests across models, and controls output quality. --- ## Hybrid Retrieval Cosavu combines multiple retrieval techniques instead of relying solely on vector search. - Vector Retrieval - Hash-based Retrieval - Structured Data Access - N-Gram Search - Policy-aware Ranking --- ## Context Intelligence Instead of retrieving the **most similar** information, Cosavu retrieves the **minimum trusted context** required for a decision. --- # What Cosavu Optimizes - AI Inference Cost - Context Window Utilization - Output Token Efficiency - Hallucination Reduction - Enterprise Governance - Model Routing - Workflow Observability - Secure Context Management --- # Built for Enterprise AI Cosavu integrates with existing AI stacks and enterprise infrastructure. Compatible with - OpenAI - Anthropic - Google Gemini - OpenRouter - Azure OpenAI - Self-hosted LLMs - Enterprise Knowledge Bases - SQL Databases - Vector Databases --- # Research Areas We actively research - Context Intelligence - Context Allocation - AI Cost Optimization - Enterprise Retrieval Systems - Reinforcement Learning for AI Infrastructure - Agentic AI Infrastructure - Hybrid Retrieval Architectures --- # Vision We believe the next generation of AI infrastructure won't be defined by larger models. It will be defined by **better context.** Just as operating systems manage compute resources, **Cosavu manages intelligence resources.** ---
### Enterprise AI starts with Context. **https://cosavu.com**