What We Do Insights About Get in touch

Senior data expertise, delivered by a dedicated team.

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

Where enterprises most often need senior help

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 expertise
01

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.

02

Data & AI Readiness

The quality, lineage and ownership groundwork that separates AI initiatives that ship from AI initiatives that stall in proof of concept.

03

Data Migration

Legacy system migrations and cloud warehouse adoption, delivered without losing trust in the numbers along the way.

04

Analytics & Decision Support

Analytics built around the decisions it informs. Hypotheses, experiments and causal analysis, rather than dashboards nobody acts on.

Credibility

Backed by serious enterprise experience

Pierre Sarkis, founder of Semantic

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.

Previously
Amazon
Educated at
HEC Paris
Working across
Europe, US, Middle East
Who is behind Semantic

How We Work

Four steps, and we are honest at each one

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.

01

Talk

A conversation about the business, the data problem behind it, and what a good outcome would actually look like.

02

Diagnose

We look at the real systems and data, not the org chart, and come back with root causes, priorities and a recommended approach.

03

Build

We bring together the right specialists for the problem and execute, shipping in increments you can review.

04

Improve

Where it is useful, we stay on to keep raising the standard and hand the capability over to your team.

Have a data problem you're trying to solve?

Let's talk about it.