APIs
Design and integration of REST APIs and webhooks, processing queues, handling of errors, retries and volumes.
Development & integration
Development and integration for your AI projects
A model only creates value once it is connected to your tools, your data and your access rules. That is the part we build.
Skills
Everything around the model
Systems integration
Connection to the tools in place: email, document management, accounting or business software, databases. Read and write access according to defined permissions.
SSO and access control
Authentication through your identity provider (SAML, OpenID Connect), role-based permissions, access traceability.
Python / Django
Back end, orchestration of AI processing, data pipelines, administration interfaces.
Angular, React, Next.js
Human validation interfaces: the user sees the AI's suggestion and its rationale, and decides.
Testing and release
Automated tests, evaluation datasets, documented and reversible deployment.
These skills serve the private, secure AI projects presented on this site: sovereign AI and protected external AI. This is not a general IT services offer.
Integration
How AI fits into an application
Entry point
Where the data arrives: an uploaded document, an incoming email, an export, an application request.
Processing
By a model deployed on your premises, or through the protection gateway to an external AI.
Validation
A person accepts, corrects or rejects the suggestion, when the process requires it.
Write-back and trace
The validated result goes back into your systems; the operation is logged.
Explore an AI use case for your organisation
A first conversation to clarify the process, the data and the constraints.