For retail and e-commerce teams ready for results — we take ownership, end to end.
Most partners optimise for billable hours. We optimise for what ships. After 20 years in commerce, we know the difference between a team that’s present and a team that’s accountable.
We know the platforms, the complexity, the edge cases.
Senior engineers in Easten Europe, leadership in Western Europe.
We sign up for what ships, not just what we do.
You get a senior engineering team embedded in your org — accountable for delivery from spec to production, not just advice.
Stronger core engineering inside the team for long-term product development – we become part of your org, not a vendor outside it.
Clear ownership and accountability – a pod that takes end-to-end responsibility for shipping a defined outcome.
We design and deploy production-ready AI systems — with full ownership of scope, timelines, and outcomes. From model selection to MLOps pipeline, we don’t hand off, we deliver.
Production-ready AI from day one
MLOps best practices built in
Full accountability — scope, timeline, outcome
We train your team and hand over all artefacts
Not just a PIM. Makes your Al work, channels consistent, and ops team free to do real work.
Most PIMs store data well. The gap is before data goes in - mapping, normalisation, enrichment - and after it goes out. That's where Gepard lives.
Gepard doesn't replace it. We sit between your existing systems and your channels as the transformation layer. Most clients came to us with a PIM already in place.
Internal tools solve the problem you had when you built them. Gepard solves it at scale -120M+ mln updates/month, 15+ countries, Al built in.
Most companies are trying to build Al-powered retail experiences on top of product data that was never clean enough. We fix that. Once the data is right, everything else - channels, Al, conversion - works the way it was supposed to.
Data gets better inside Gepard
Not bolted on - core to workflow
Strong on what happens after storage
Three compounding problems burning budget and eroding trust - and most AI vendors make all three worse.
Revenue generation
AOV 
Operational throughput
Seamless routing + context
