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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.

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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.

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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.

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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

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Context Intelligence

Instead of retrieving the most similar information, Cosavu retrieves the minimum trusted context required for a decision.

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What Cosavu Optimizes

• AI Inference Cost
• Context Window Utilization
• Output Token Efficiency
• Hallucination Reduction
• Enterprise Governance
• Model Routing
• Workflow Observability
• Secure Context Management

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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

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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

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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.

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