Built in Madagascar · For your business

AI, for you.

Custom AI that works for your business.

We build assistants and automations around your data and workflows. Start by identifying a practical use case.

Free introductory call. No commitment.

÷ 3 Document processing time
100% Sovereign & secure internal data
4 wks To an actionable business PoC
Document assistant
Illustrative demo

Your documents. Clear answers.

Purchasing procedurePDF 03
Accounting guidePDF 02
A business question

What should I check before approving an invoice?

Answer with sources
  • Check the supplier and amounts1
  • Match the invoice to the purchase order1
  • Flag discrepancies to accounting2
2 sources consulted
Your team makes the final decision
Fictional example · No customer data
Notoriety, Keynotes & Strategic Alliances

On the ground: keynote talks and landmark partnerships

From panel debates alongside Madagascar’s top corporate leaders to our strategic technological alliance with Switzerland: IA-nao establishes itself as the leading AI force.

Geekworkers Logo - Agence Web & Mobile Suisse Geekworkers Logo - Agence Web & Mobile Suisse
Switzerland 🇨🇭 ⇄ Madagascar 🇲🇬 Alliance
📍 Geneva & Lausanne (Switzerland) · Antananarivo (Madagascar)

Strategic Swiss Technology Partner

Operational alliance with premier Swiss digital agency Geekworkers (geekworkers.ch). Combining Swiss precision, security standards, and web engineering with cutting-edge AI expertise (private RAG, autonomous agents, ML pipelines). Driven directly by Aina Rakotomalala, full-stack developer at Geekworkers and co-founder of IA-nao.

✓ Standard de qualité & cybersécurité suisse
✓ Synergie IA-nao : RAG privé, LLM & automatisation
✓ Passerelle directe Genève / Lausanne ⇄ Madagascar
Team

Real AI profiles, visible and accountable

IA-nao is led by Data, ML and engineering profiles based in Madagascar, with a culture of production and responsibility. The site shows who builds, not only what we promise.

Meet the team →
Our approach

Qualify. Scope. Prove.

We validate scope, data and success criteria before confirming the prototype timeline.

01

Qualify

A short audit to choose the most profitable and feasible use case.

02

Scope

A roadmap in 10 days: data, architecture, gains, risks and PoC budget.

03

Prove

A 4-week PoC connected to a real business workflow.

04

Decide

A clear decision: industrialize, adjust or stop cleanly.

Why IA-nao

Your business.
Your AI.

IA-nao brings together Data, Machine Learning and engineering expertise in Madagascar to build systems around your operations.

Custom AI starts with your needs: which data to use, who can access it and where the system runs. We define these choices during scoping.

Rights to code, models and deliverables are specified in the proposal and contract. Third-party components retain their own licences.

  • A use case selected with your team
  • Access defined for each user group
  • Hosting adapted to your constraints
  • Measurable success criteria
  • Rights and deliverables specified in the contract
Key questions

What leaders should clarify before launching AI

Short answers to move from buzzword to an actionable roadmap.

Does IA-nao replace ChatGPT or Gemini?

No. We build proprietary AI systems around your data, workflows and constraints. Public LLMs can sometimes be one component, but never the full strategy.

How long does it take to test a use case?

We usually scope an actionable PoC in 4 weeks: data, prototype, success metrics and production recommendations.

What if our data is not ready?

That is exactly the role of Data Foundation: ingestion, cleaning, structuring, annotation and synthetic data to accelerate the start.

Do you only work with companies in Madagascar?

No. IA-nao is based in Madagascar with an Africa, Europe and global ambition, supported by a time zone compatible with French-speaking teams.

Turn your data into a useful AI system.

If you have a costly process, scattered data or an AI idea to scope, let us start with 30 useful minutes.

Contact us

Get useful AI signals

A short briefing on data, AI agents and AI projects that actually reach production.