New: Intake — from document to verified data, with evidence
In production

Three layers that sit in front of your AI model to make it cheaper, more private and more precise. BV-SALA and BV-PRGA are fully productionized, with measured — not estimated — figures. All our research leverages NVIDIA inference and hardware.

Why

Optimization before the model, not inside it

We do not replace OpenAI, Anthropic, DeepSeek or Gemini. We sit in front of them: we better prepare what you send them so you spend less, expose less and retrieve what matters most.

The family

Three algorithms, one shared principle

Each one solves a different problem in the layer that connects your company with AI models.

In production

BV-SALA

BiVelio Savings Layer

A layer that optimizes and rewrites your prompt before sending it to the API, to lower the cost per call.

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In production

BV-PRGA

BiVelio Privacy Gateway

An intermediate layer that holds back sensitive information before sending your prompt, document or file to any AI API.

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Standalone product

BV-EMLA

BiVelio Embedding Layer Algorithm

A standalone evidence retrieval layer: it deduplicates, reuses embeddings and composes the minimal relevant context. A standalone product; BiVelio will be one of its consumers.

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Want to follow its development?

Write to us and we will let you know when we release each algorithm and its results.

Talk to the teamSecurity & compliance