AI in production, not in POC.
We industrialise enterprise AI: from strategy to governed automation. Process mining, N8N/MCP agents, GenBI and a trust layer — backed by the data & compliance DNA of Datanaos.
Industrialising AI, backed by the data & compliance DNA of Datanaos
Our difference
Industrialisation and governance as a differentiator
Too many AI projects stall at the POC stage. We design systems that reach production — integrated, monitored and compliant — to generate lasting value.
From POC to production
CI/CD, observability, error recovery: our automations and agents withstand real-world load, not just the demo.
On your real data
Process mining and mapping of structured and unstructured data: we start from reality, not from assumptions.
Governed & compliant
Trust layer: logs, audit, cost control, guardrails and evals. The decisive argument for regulated environments.
End-to-end support
From ideation to governed run. Start with the diagnostic — our fixed-price entry point.
Diagnostic & scoping · entry offer
Short fixed-price package: AI maturity, high-ROI use cases, prioritised roadmap. Low commitment, high impact.
AI consulting & strategy
From ideation to roadmap: use cases, technology choices, architecture, governance and change management.
Modelling & mapping
Process mining (as-is), target processes (to-be) for AI, and mapping of structured and unstructured data.
Industrialisation & automation
Agents and workflows in production: N8N, MCP, Claude, integrated into your infrastructure (AWS, Docker, CI/CD), monitored.
GenBI
Conversational, governed BI: ask your questions in natural language and get reliable analyses.
Run, Ops & AI governance
Supervision, scaling and trust layer: logs, audit, costs, guardrails, evals. Recurring revenue, assured compliance.
Frequently asked questions
What is the difference between ianos and a typical AI POC?
A POC proves feasibility; we deliver systems in production. In concrete terms: integration with your IT systems, CI/CD, monitoring, error recovery, cost control and governance. The goal is recurring business value, not the demo.
Where should we start if our AI maturity is low?
With the diagnostic & scoping: a short fixed-price package that assesses your maturity, identifies high-ROI use cases and produces a prioritised roadmap. It is the least demanding entry point.
Which technologies do you work with?
N8N and MCP for orchestration and agents, the leading LLMs (Claude, Gemini, ChatGPT, Mistral, or on-premise hosted models), and a standard infrastructure (AWS, Docker, CI/CD). The choice is driven by your context, your sovereignty constraints and your TCO.
How do you guarantee compliance and security?
Through a systematic trust layer: logging, audit, guardrails, evaluations (evals) and cost control. ianos is backed by Datanaos, an expert in data and compliance — governance is in our DNA.
Move from experimentation to AI in production
Start with a short, fixed-price assessment: maturity, high-ROI use cases, and a prioritised roadmap. No commitment.