Integrate AI
Assistants connected to an ERP, document search, extraction or summarization: we build the service around the model, with the data, access rights, evaluations and monitoring it needs to be used.
Explore this expertise ↗SOFTWARE ENGINEERING / AI & DATA EXPERTISE
Give your projects what they need to succeed.
From startups to large enterprises, we take your tech projects from start to finish. Experienced engineers, an AI-accelerated method and a commitment to delivery quality.
France • Madagascar • Mauritius
French-speaking teams, a 1 to 3-hour time difference with Paris depending on the season and the country. You start working together without having to hire your own team.
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Our expertise
An engineering team, from business need to production.
You are launching a product, your software is holding your business back, or you want to bring AI into your tools. We help you define what needs to change, then we build the interfaces, services and integrations required. Technical choices stay tied to your users, your budget and the life of the product.
Design & build
Business applications, SaaS products, portals and mobile: we build the user journeys, the business rules and the connections to your information system. We can also take over existing software and keep it evolving.
Explore this expertise ↗Scope & modernize
Audit, architecture, product priorities and takeover plan: we make the choices explicit before development starts. Scoping then carries on into delivery or is handed over to your team.
Explore this expertise ↗Delivery before talk
Case studies that change how people work.
A partner platform opening a B2B channel, a patient record turned into a summary, an ERP you can query in conversation: this is what our projects make possible.
Case studies
Gorilla eSIM: from a traveler product to a partner channel
Two scopes brought together in a single product team: web and mobile improvements for travelers, and the build of a B2B affiliate platform. Five profiles cover development, design, product and quality.
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Case studies
Patient agent: the medical record, put back into perspective
Information from the record is retrieved and organized into a chronological summary, available in an interface built for anesthesia teams. A project that connects document search, AI and real clinical use.
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Our product
Bobby: our AI assistant, in production in-house
Our own conversational assistant, connected to our ERP and used by our teams. The AI we deliver to our clients, applied to ourselves first.
View the project ↗How we build
A project flow you can follow.
The project moves forward with a named point of contact, shared priorities and validation checkpoints. You see what is being developed, the decisions to be made and the issues that could change the scope.
Understand & scope
We study how the product is used, the existing software and its dependencies. The first features are chosen with the people who will use or run the product.
Prioritized scope, budget assumptions and success criteria.Design & build
User journeys, architecture and development move forward together. Demos are used to test features against real work and adjust priorities.
Code, interfaces, integrations and tests with each delivery.Go live & hand over
Access, environments, acceptance testing and documentation are prepared before the production release. Monitoring and further improvements are organized with your team.
A production-ready application, documentation and a maintenance framework.High standards, every day
Quality is built during the project.
A screen that works in a demo is not enough. We build business rules, error cases and operating constraints into design and development work.
Technical decisions you can understand
Architecture, dependencies, security and integrations: key choices are documented and discussed with you. The code and the access needed to take over the project are part of the handover.
Changes that are reviewed and verified
Code reviews, tests of critical behavior and business acceptance testing come with every delivery. For AI, we also evaluate answers, failure cases, latency and cost of use.
AI in service of engineering
We use coding assistants to explore code and prepare changes or tests. Engineers remain responsible for technical choices and validation. Permitted uses and accessible data are defined within the project.
Your team, extended by ours
CIOs and CTOs: a delivery partner at your side.
CIO or CTO
Taking an AI project to production, taking over an application or integrating a new service: we work with your key people on architecture, code, access and maintenance. You stay in control of priorities and decisions.
SMB or mid-sized company leader
Turn an operational need into useful software, with a clear scope, a budget you can explain and validation steps.
Software vendor
Evolve your product, modernize its foundation or add AI features while keeping your roadmap on track.
Startup or founder
Choose the first scope to test and build a usable product, with the foundations needed to keep going.
The Etixio conviction
Understanding the product is part of an engineer’s job.
Etixio is led by Mathieu Bernard and Julien Goumet, two software engineering entrepreneurs, joined by Marc Giraud Sauveur to grow the business internationally. Their experience in technical leadership and in delivering projects with international teams has shaped one conviction: the value of a collaboration is measured by how well the product is understood and by the quality of the work delivered.
Based in France, we organize our engineering teams in Madagascar and Mauritius around the same project. We define responsibilities, communication and engineering practices so that knowledge of the software stays shared as it evolves.
Insights from our teams
Our take on the topics that shape your products.
Moving from prototype to production, choosing an architecture or integrating an AI agent: our articles explore the methods and trade-offs behind the projects.
Your next milestone: AI that works in production.
Let’s take 30 minutes to look at your use case, your data and your integration constraints. The goal: identify the first scope to build and the conditions for maintaining it.