gensai.aiGensai develops custom AI solutions when the need falls outside the standards: automating a business process, integrating AI into your existing applications, exploiting image or audio, experimenting with robotics. The method is the same for every project: a first use case validated in 2 to 3 weeks on your real data, then industrialisation.
Not every need fits in a box. Automating a document processing chain, integrating a model into business software, generating visuals live for an event, exploring AI use cases for a whole organisation: each of these projects calls for an architecture designed from the business and its real constraints.
The method stays the same: identify the highest-value use case, validate it quickly with a first use case (POC) on real data, then industrialise. Relying on pre-trained models, open models and, for a first use case, low-code tools, a few weeks are enough to know whether an idea holds, and to measure the expected productivity gain.
Custom work also covers exploration: Gensai experiments with embedded AI in robotics with Reachy, the open-source humanoid robot by Pollen Robotics, and supports organisations over time: team training, awareness workshops, support for start-ups that put AI at the heart of their offer.
Use cases for AI development and integration
Automating a business process
Mail sorting, data entry, document checks, reminders: a processing chain automated end to end, with human validation on sensitive steps.
AI integration into existing software
A language or vision model added to your CRM, your ERP or your business application, through APIs, without replacing what exists.
Immersive installations
Give a voice to an exhibition, a heritage site or a brand: AI installations designed with scenographers.
Visuals generation
Avatars, portraits, generative visuals created live: spectacular animations for events and culture.
Robotics and embodied AI
Reception, demonstration, mediation: with the Reachy humanoid robot, artificial intelligence takes shape.
Use-case exploration
A structured workshop to map where AI creates value in your organisation, and prioritise projects.
AI training and awareness
Hands-on training for executives and teams: understanding the models, experimenting, adopting the right reflexes.
Start-up support
Product and technical support for young companies that put artificial intelligence at the heart of their offer.
Our references
Frequently asked questions
How does a custom project start?
With a use-case identification workshop: understanding the business, spotting where AI creates the most value, prioritising by impact and feasibility. Then comes a quick first use case (POC) that validates the approach on real data, before industrialisation.
How long does a first use case (POC) take?
Two to three weeks in most cases: relying on pre-trained models and, when useful, low-code tools makes it possible to validate an approach quickly. Moving to an MVP or to production then takes 1 to 3 months.
Can AI be integrated into existing software?
Yes, it is the most frequent case. AI is added to your CRM, your ERP, your business tool or your website through APIs or a workflow orchestrator, without replacing what exists. The integration is defined from the first use case, so that going live holds no surprises.
What productivity gains can be expected?
They depend on the process. Repetitive, well-defined tasks (sorting documents, data entry, answering recurring questions) are where the gain is measured fastest. The first use case serves precisely to quantify this gain on your data before investing in industrialisation.
Do you work with open models?
Yes, whenever it is relevant: Mistral, self-hosted open-source models, open tools such as FAISS. It is the guarantee of sovereignty, auditability and cost control.
Do you offer AI training?
Yes. Gensai runs training sessions and awareness workshops for executive and operational teams: understanding the models, identifying use cases, adopting the right security and compliance reflexes.
Which types of organisations do you work with?
SMEs and mid-caps, cultural institutions and local authorities, agencies, non-profits and large companies. What they share is less a sector than a need: a precise use case, data to exploit and the wish to validate quickly before industrialising.
What happens after the first use case?
If the first use case keeps its promises, it becomes a first operational version in 1 to 3 months: integration into your tools, security hardening, user training, then follow-up in production. Otherwise, it will have ruled out a wrong track at low cost.
A need outside the mould?
Describe your business and your tools: Gensai imagines the AI solution to match and validates it on a first use case.