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Trustworthy data is the foundation of trustworthy AI

We are automating the governance layer so teams can focus on deriving insight from their data, instead of documenting it by hand.

Why we exist

We started Semantic Scout with a simple belief: as LLMs, self-service analytics, and agentic workflows multiply, teams need governance that stays evergreen without manual effort.

Our mission is to make intelligent data governance effortless — so every company can move faster with AI, without compromising trust.

How we got here

We built alongside design partners in regulated industries — first proving automated metadata at a Nordic telecom, then earning a licence from a Nordic bank for business lineage and mainframe understanding.

Manual lineage stitching, stale catalogs, and audit scramble became a product that updates itself and explains itself.

What we hold to

Evidence over assurances

We sell to auditors’ customers. Claims on this site are written so that a diligence reader can test them — and we take claims down when they stop being true.

Automation first

Governance that depends on human discipline decays. Governance that runs itself compounds. Everything we build is judged against that.

Metadata only

We never need your business data. That is an architectural choice rather than a policy promise, which is why it survives contact with a security review.

Built where we sell

Stockholm-based, EU-resident by default, designed against European regulation rather than retrofitted to it.

Founders

Semantic Scout is founder-led. The two people below build the product, run the pilots, and answer the email.

  • Nils Zetterlund

    15+ years of metadata architecture for regulated industries; AI research at KTH.

  • Mahesh Manuja

    14+ years building data platforms, catalogs and governance at scale.

Join us

We are a small team in Stockholm with a licensed product and more ideas than hands. Three honest ways in:

LIA internship — marketing

Spring 2027, through your school’s LIA programme. Help a licensed Nordic data product find its audience, with real ownership rather than coffee runs.

Thesis / exjobb

Data lineage, program understanding, and AI governance offer genuine thesis problems with real data behind them. Propose one.

Open application

If you can make our customers or our product better, tell us how. We are two founders and we read everything ourselves.

Applying? Use the form below and name the opening in your message.

Get in touch

For anything that is not a demo or a pilot — partnerships, applications, press, or an awkward question about our claims.

Location

Stockholm, Sweden

Looking for a product walkthrough instead? Book a demo.

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