Technology

The whole stack, from model to cloud.

AI ecosystems change every month. We push no vendor: we choose the right model, architecture and hosting for you, based on the quality you need, the cost and the confidentiality of your data.

Models

  • Claude, Gemini, GPT
  • Open models, run locally
  • Chosen on cost and quality
  • Cost measured per task

Agents

  • Tools and connectors (MCP)
  • Multi-agent orchestration
  • Human approval
  • Every action logged

Data

  • ERP, CRM, SQL databases
  • APIs, feeds, files
  • Read-only by default
  • Quality, traceability

Cloud

  • AWS, Azure, Google Cloud
  • Continuous deployment
  • Protected access and secrets
  • FinOps and efficiency

Where to run AI

Three ways to host a model, three trade-offs.

The choice depends on your data more than on fashion. We make it with you, and we can combine all three in a single project.

OptionQualityCostConfidentialityWhen to choose it
Leading model via APIPay as you go, low to startComplex reasoning, writing, analysis. Non-sensitive data, or a suitable contract.
Private cloud or dedicated regionHigher, predictableRegulated data, hosting in Europe required, large volumes.
Local modelHardware, then close to zeroData that must stay in-house, offline use, focused and repetitive tasks.

Security and compliance

Built in from day one, not at the end.

Access

As little as possible, well protected

Read-only access by default, dedicated accounts, secrets kept out of the code, strong authentication on every tool we deliver.

Data

No unnecessary personal data

We only extract what is needed. Personal data is excluded or pseudonymised, and nothing is reused to train a model.

Compliance

GDPR and provider terms

A record of processing activities, appropriate hosting, and a review of each AI service's terms of use before we use it.

Unsure about an architecture?

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