Data Quality & Reliability
Testing, monitoring and incident response for the data the business actually runs on, so the numbers stop being a matter of opinion.
Semantic helps enterprises solve complex data problems, from diagnosis to implementation.
Trusted by data teams in Europe, the US and the Middle East


What We Do
Four of the five areas we work in. We take on the problems that need senior judgement to frame and a team to execute.
Explore our expertiseTesting, monitoring and incident response for the data the business actually runs on, so the numbers stop being a matter of opinion.
The quality, lineage and ownership groundwork that separates AI initiatives that ship from AI initiatives that stall in proof of concept.
Legacy system migrations and cloud warehouse adoption, delivered without losing trust in the numbers along the way.
Analytics built around the decisions it informs. Hypotheses, experiments and causal analysis, rather than dashboards nobody acts on.
Credibility
Semantic was founded by Pierre Sarkis, who spent his career in data at Amazon across the US and Europe, at the kind of scale where unreliable data is an operational risk rather than an inconvenience. Since then Semantic has worked with data teams at companies including Pernod Ricard and Back Market.
How We Work
Every engagement starts the same way: a conversation, then a diagnosis. If the answer is that you do not need us for this, we say so.
A conversation about the business, the data problem behind it, and what a good outcome would actually look like.
We look at the real systems and data, not the org chart, and come back with root causes, priorities and a recommended approach.
We bring together the right specialists for the problem and execute, shipping in increments you can review.
Where it is useful, we stay on to keep raising the standard and hand the capability over to your team.