One question, weeks of work
Answering anything that spans systems needs the one person who knows where everything lives and which join is correct.
GOVERNED KNOWLEDGE FOR ENTERPRISE DATA
Your data already has the answer. Getting to it takes weeks.
SemVero builds a semantic layer over the systems you already run — so anyone can ask a question in plain language and get an answer traced back to the source.
Proven on a real regulated-pharma R&D data estate — 1,000+ tables, 100% of expert questions answered.
Client details under NDA — happy to walk through the architecture and results on a call.
LIVE KNOWLEDGE GRAPH01 — 04
Clinical DB284 tables
Lab systems512 tables
Operations206 tables
GOVERNED
KNOWLEDGE LAYER1,002 entities
KNOWLEDGE LAYER1,002 entities
Researchmultiple sources
SOURCE-LINKED ANSWERSALL SYSTEMS · ONE MAP
THE PROBLEM
Nobody knows where everything is anymore.
Your data lives in systems that were never designed to be read together. One holds transactions, another operations, a third the context that connects them.
That person is the bottleneck
Questions queue behind them. Most are never asked at all.
The meaning is undocumented
Critical logic sits in old SQL and in people’s heads, not in the schema.
Harmonisation takes years
By the time a data programme finishes, the business has moved on.
+And now there is a new cost: every AI initiative stalls, because the data underneath it is not ready.
HOW IT WORKS
We build the map once. Then anyone can ask.
We read what you already have
Schemas, documentation, and the SQL your teams have already written. From that we generate a governed knowledge layer: what each thing means, how it connects, where it lives.
Your experts review it — in plain language
Not code, not a diagram only a modeller can read. A domain expert corrects a misunderstanding before it hardens into the model.
Then questions get answered
Someone asks in their own words. The system finds where the data lives across systems, retrieves it, and returns the answer with a trace back to every source record.
The data never moves. Only the map of what exists lives in the layer.
A DIFFERENT STARTING POINT
Most approaches ask you to fix your data first. We start with the mess.
| The usual way | SemVero |
|---|---|
| Clean and harmonise everything, then build | Read the landscape as it is |
| Move data into one warehouse | Data stays where it is |
| A model only specialists can read | A layer your experts review in plain language |
| An answer you have to trust | An answer with lineage back to source |
| Years | Weeks, not quarters |
No clean schema required. Inconsistent naming, missing keys, undocumented logic — that is the normal case, and it is our starting assumption, not an obstacle.
A LOW-RISK FIRST STEP
Start a conversation A conversation first. Nothing bigger than the last step justified.
Enterprise software usually asks for a large commitment before anyone has seen anything real. We work in steps, each one earning the next.
A free discovery call
We look at your estate together and find three questions you genuinely cannot answer today. One call, no commitment.
A short diagnostic
We write up what we found: those three questions, what not answering them costs you, and what it would take to change that. Yours to keep, whatever you decide next.
A pilot on your data
Your sources, your questions, a working answer with lineage — in weeks, not quarters. The cost is credited in full against the full deployment.
Deployment and support
Your full estate, running inside your own cloud.
WHO IT'S FOR
The shape of the problem matters more than the industry.
IT EARNS ITS PLACE WHEN
- Data lives across several systems that were never designed to be read together
- There are more tables than anyone can hold in their head
- The meaning of a field depends on knowledge living in people, documents or old queries
- Questions are unpredictable — a dashboard cannot anticipate them
WHERE THE SAME SHAPE APPEARS
- Pharmaceutical and biotech R&D
- Hospital groups and healthcare networks
- Manufacturing and supply chain
- Financial operations and compliance
- Public sector registries
- Any organisation that grew by acquisition
BUILT FOR REGULATED ENVIRONMENTS
Your data never leaves your perimeter.
Designed for the environments where data governance is not optional.
Explore healthcareRuns in your cloud
Your AWS, your Azure, your private infrastructure. This is not a service that ingests your data.
Containerised
Deployed as a standard container image into your environment.
Runs on the model you approve
The reasoning model is a configuration choice, not a lock-in, and can be changed as your policy requires.
Every answer carries its lineage
The path back to the source records, every time.
It says “I don’t know”
When the estate cannot answer a question, the system says so instead of inventing a plausible number.
For regulated work, that last point is the difference between an interesting demo and something you are permitted to deploy.
WHAT COMES NEXT
Today people ask the questions. Tomorrow their agents will.
Every organisation is deploying AI agents over its own data. Those agents hit the same wall a new analyst does — except they do not know they have hit it.
An agent does not know that an identifier here and an identifier there mean the same thing. It does not know which of three possible joins is correct. So it guesses, fluently, and returns a number nobody can check.
A governed knowledge layer turns that guess into a contract.
- Agents get grounding, not guesswork — what exists, what it means, how it connects
- “There is no data for that” becomes a valid answer
- Every agent-produced figure carries its lineage, auditable by a human or another agent
START WITH A CONVERSATION
Let's find out if we can help.
One call. We look at your data estate together and find three questions you cannot answer today. If we cannot help, we will say so.
Book a discovery call [email protected] · Limassol, Cyprus