# Logikol - Privacy vault and document intelligence for AI teams

> Privacy vault and document intelligence for AI teams

## Project facts

- Category: AI & Agents
- Client location: Global
- Delivered: 2024
- Client site: https://logikol.com
- Stack: Python, Django, Celery, Redis, PostgreSQL, Next.js, OpenAI, Anthropic, DeBERTa-v3, GLiNER, Docker, AES-256-GCM, HSM

## What needed solving

Regulated teams in tax, finance, healthcare, and legal wanted to use AI but could not send sensitive client data to external LLMs. Logikol needed a platform that made AI usable on sensitive data without compromising compliance.

## How we built it

Matious built a privacy vault that detects and tokenizes PII before it leaves the customer system, an LLM gateway that proxies prompts to any provider while scrubbing identifiers, and a document intelligence engine that extracts structured data from scanned and handwritten documents in a single API call.

## What we delivered

Teams can now use GPT-4o, Claude, and custom models on sensitive data without exposing raw PII. Every extracted field is tokenized in the same response. The platform deploys in managed cloud, single-tenant VPC, or fully air-gapped environments.

## Related

- All case studies: https://matious.com/work.md
- Services: https://matious.com/services.md
- Start a project: https://matious.com/contact

## Canonical URL

https://matious.com/work/logikol

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_Matious - AI engineering studio, founded 2017, Mohammedia, Morocco._
Contact: contact@matious.com | +212 661 790 436 | https://matious.com/contact
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