// R&D

Local AI Suite

Custom AI that stays inside the company

in private beta

// What it is

An artificial intelligence environment installed directly on the customer's systems: it answers questions about company documents and procedures, automates recurring tasks, without data ever leaving the organization.

// Where we are

Q2 2026
Cortex engine hardening · stable multi-model routing
Q3 2026
Private beta with SME/PA pilot customers
Q4 2026
Document Q&A over multi-format enterprise archives
Q1 2027
Edge deployment cluster ARM + Apple Silicon
// Technical details · for industry insiders +

Technical problem solved

Generative AI is structurally incompatible with data sovereignty: every cloud inference leaves traces on foreign servers, violates GDPR/AI Act constraints for sensitive data and puts organizations in a dependency on opaque providers. Enterprise-grade inference is needed without a single token leaving the customer's perimeter.

Technical positioning

On-premise AI · local LLMs · zero data leak · powered by Cortex engine

Architecture / approach

  • 01 OMNI_SUITE — integrated application of AI assistants, document Q&A, automation
  • 02 Cortex engine — model orchestration, inference routing, vector store
  • 03 Customer's private knowledge base — local embedding, no external upload
  • 04 Ollama / llama.cpp / vLLM inference on customer hardware or dedicated edge

Technology stack

Ollama llama.cpp vLLM Qwen 3.5 LangChain Qdrant pgvector FastAPI

TRL and development status

MVP Alpha · TRL 6/8
Current TRL
6
Target TRL
8
Phase
MVP Alpha

Reference standards

GDPR AI Act (EU 2024/1689) ISO/IEC 27001

// Related services

The expertise behind Local AI Suite directly powers some of our project-based services:

Approach to intellectual property

Why we patent and what it means for clients

// Other R&D projects