AI ENGINEERING BOUTIQUE • FRANCE

Private AI models for your domain

Models trained for your task that run inside your environment: they keep personal data away from external LLMs and cut LLM costs. Built for fintech, healthcare and pharma, from architecture to production.

STATUS: BUILT TO RUN INSIDE YOUR ENVIRONMENT

CORE_CAPABILITIES

Custom Model Distillation

Transferring frontier intelligence into small models that run in your own environment.

Strategy: Teacher-Student Distillation
Logic: Task-Specific Compression

Private Domain Intelligence

Autonomous 'Second Brains' that master your internal IP within your own environment.

Focus: Data Sovereignty
Logic: Zero-Trust Intelligence

Multimodal Diagnostic Engines

Models that combine images, text and structured records to support expert decisions.

Architecture: Multi-Agent Review
Focus: Multimodal Inputs

Noise-Resilient Voice AI

Zero-keyboard workflows for chaotic environments with niche terminology and low-resource support.

Tech: Fine-tuned Whisper
Feature: Real-time Signal De-noising

DEPLOYMENT_LOGS

PRODUCT_VET DELIVERED

Intelligent Veterinary System

A comprehensive AI ecosystem for a large veterinary network, focusing on speed and diagnostic accuracy.

  • > Voice-first expert knowledge base for surgeons
  • > Multi-agent workflows for clinic operations
CASE_STUDY_PHARMA DELIVERED

Pharma Intel Engine

Advanced document intelligence system designed for a pharmaceutical company to handle sensitive R&D data.

  • > Automated extraction of chemical compound insights
  • > Semantic cross-referencing of research papers
  • > Retrieval accuracy +40%, inference cost -45%
CASE_STUDY_FINTECH INTEGRATED

Bank Multimodal Analytics

Complex multi-agent system for a banking institution, merging voice inputs with deep data analysis.

  • > Multi-agent consensus for risk assessment
  • > Real-time Voice AI data ingestion & tagging
  • > Dynamic knowledge base with multimodal Agentic RAG
INITIALIZE_CONSULTATION