Please describe your company, your role, and the industry you operate in.
As Directeur Technique at Étoile Technologies SAS I oversee technology spend and delivery across our Information Technology operations out of Lyon, France. We're a commercially minded business, so every technology decision gets judged on what it actually contributes to the bottom line, not on how elegant it looks on paper.
What specific problem or business challenge led you to hire this company?
Our previous vendor had maintained this platform for a few years, and the technical debt had piled up to the point where our delivery speed had dropped to a fraction of what it used to be. We needed fresh engineering eyes and an actual plan to deal with the underlying mess.
What services did the company provide for your project?
The scope ran the full AI & Machine Learning lifecycle — discovery, requirements, architecture, development across roughly a dozen sprints, integration testing, performance validation, deployment, and a four-week hypercare window afterward. They also handed over full documentation and ran a knowledge transfer session for our internal team.
Why did you choose this company over other providers you considered?
The questions they asked during the briefing stage told us most of what we needed to know. Vendors who ask sharp questions during sales tend to bring that same rigor into delivery, and that held up. The technical proposal had real substance, the team was senior from the start, and the pricing was straightforward.
How clearly did the company understand your requirements and business goals?
Very well. The discovery phase was more thorough than anything we'd been through with prior vendors. They pushed back on requirements that were vague or contradictory, suggested better alternatives where our own thinking was limited, and produced a spec our internal stakeholders agreed was the clearest version of the product they'd ever seen written down.
How was your overall experience with their communication and project management?
Professional throughout. The project manager always had a clear view of the critical path and flagged changes to it honestly, without spin. The one significant scope change we made mid-project went through a clean process — fairly priced, clearly documented, and absorbed without knocking the rest of the timeline off course.
Did the company deliver the project on time and within your expected budget?
Both, yes. One sprint hit a one-week delay from a third-party API dependency outside anyone's control. The team flagged it three weeks ahead of time, laid out two options, and we picked an approach that clawed the schedule back within the same sprint. That's the kind of foresight that separates real project management from just reacting to problems.
What tangible results or business impact have you seen since the project was completed?
We went live about three months ago. User adoption beat the target we'd set by roughly 20 percent in the first month, and support ticket volume has dropped noticeably since. Features we'd shelved because the old architecture made them too expensive to build are now back on the roadmap.
What did you like most about working with this company?
Their willingness to just be direct. If our requirements were unclear, they said so. If our priorities contradicted each other, they explained why. If an approach we'd assumed was right actually had real downsides, they told us before we'd committed to it. That kind of honesty is exactly what I look for in a long-term partner.
Would you recommend this company to others, and would you work with them again?
Yes — though I'll add that they're not the cheapest option out there and they're selective about what they take on. If price is your main filter, look elsewhere. If you need a partner you can trust with a serious AI & Machine Learning program in Information Technology and expect them to actually deliver against the brief, this is the team.