Build AI systems that work in the real world.
We design secure LLM, RAG, VLM and agentic AI solutions connected to your enterprise data, applications and operational workflows.
From AI idea to production.
Hydatis combines product thinking, data engineering and software delivery to create useful AI—not isolated demos. Every solution is designed around measurable business outcomes, controlled access and adoption by your teams.
AI Agents & Multi-Agent Systems
Agents that reason, use tools and execute controlled business processes across CRM, ERP and internal applications.
Enterprise RAG
Accurate assistants grounded in your documents, databases and knowledge systems, with citations and access controls.
LLM Applications
Secure copilots, customer-service assistants, workflow automation and domain-specific generative AI products.
Document AI & VLM
Extract, understand and validate information from documents, images, scans and complex visual content.
MCP Integrations
Connect models and agents to approved tools and enterprise data through governed Model Context Protocol integrations.
AI Governance & Security
Evaluation, observability, human approval, privacy and guardrails engineered into the solution from day one.
Move fast without losing control.
Start with a focused use case. Validate it on real data. Then industrialize the architecture, integrations and governance required for production.
Opportunity assessment
Prioritize use cases according to value, feasibility and risk.
Working prototype
Demonstrate the experience on representative business data.
Production system
Build reliable pipelines, integrations, evaluations and controls.
Operate & improve
Monitor quality, adoption, costs and business performance.
Technology, selected for the use case
We work with leading commercial and open-source models and avoid locking the solution to a single provider.
Built for France, MENA and Africa
Nearshore engineering from Tunisia, European delivery standards and experience with multilingual, regulated and data-sensitive environments.