For your data
Break silos. Align meaning.
The same business term means the same thing across every team, system, and partner. It is enforced at the semantic layer, not in spreadsheets.
Why you can trust it
- Connected
- Consistent
- Governed
Semantic AI Foundation
Meaningfy — the Semantic Layer for reliable enterprise AI
Meaningfy connects your business meaning across systems, data, and documents, so your teams, your reports, and your AI all work from the same trusted foundation.
Our Clients
Our Partners
Our Memberships
What we deliver
Trusted Data. Trusted Reporting. Trusted AI.
One semantic foundation. Three outcomes enterprises actually need.
For your reporting
Defend every number.
Every figure traces back to its source data and business rules — audit-ready, board-ready, and regulator-ready at any moment.
Why you can trust it
- Traceable
- Explainable
- Auditable
For your AI
AI grounded, not guessing.
Connect your language models to your business semantics. Get consistent, explainable answers — without hallucinations or surprises.
Why you can trust it
- Deterministic
- Repeatable
- Auditable
Why it matters
More data won't fix it. Shared meaning will.
Most enterprises already have the data and the models. What they lack is one governed definition of what the business means, so every system, report, and AI application reads from the same source. That layer is what we build, on your infrastructure, with your tools.
Talk to Us-
01
Reliable AI
AI assistants that answer from your definitions and your data, with every answer traceable to its source. Answers you can put in front of a board or a regulator.
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02
Unified data
One shared definition of customer, product, and risk across systems and partners. Integrations stop renegotiating meaning; reconciliation stops eating days.
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03
Self-serving analytics
Business teams answer their own questions without waiting on IT, because the rules and meaning behind every figure are already in the layer.
Where Meaningfy fits
A semantic layer between your applications and your data
We connect data silos, business meaning, metadata, and governance into one trusted foundation, so your teams can work from consistent, traceable, and explainable information.
- Software-agnostic: it sits on your stack, not ours.
- Open standards: ontologies, taxonomies, vocabularies, and mapping rules.
- Every answer traces back to source data and business rules.
Applications
What people use
Reports & dashboards
AI assistants
Business systems
Semantic Layer
Meaningfy
Where meaning, rules, and trust are managed
Business meaning
Metadata
Governance
Mapping rules
Data Source
Where data lives
Databases
Files
Documents
How we work
Start small. Prove value. Then scale.
No big-bang project and no platform to buy. Each phase ends with results you can evaluate before deciding on the next.
The first step is a 1–2 day workshop. That's the whole commitment.
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01
Discovery workshop
1–2 daysWe map your data landscape with your team, identify where unclear meaning costs you most, and select the highest-value use case. You leave with a written assessment and a recommended path.
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02
Strategic phase
4–6 weeksWe design the foundation: target architecture for your stack, a governance model, and a prioritised roadmap. Your architecture, your tools.
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03
Proof of Value
6–10 monthsWe build the semantic layer for the selected use case, on your data and your infrastructure, with success criteria agreed up front. Working software, not slides.
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04
Deployment
ContinuousWe extend the layer across domains and hand it over properly — training, documentation, and governance — so your team owns it. No lock-in.
Get in touch
Find out what a semantic layer would look like in your organisation
A 30-minute call to talk through your data landscape and whether a discovery workshop makes sense for you.