You already own the information.
We make it work.
It sits in PDFs nobody opens, in systems that do not talk to each other, on web pages that change weekly, and in the heads of people about to retire. Jantia turns it into working assets: clean structured data, a connected knowledge base, and assistants that answer with a citation to where the answer came from. Connected to the systems you already run, and kept running.
Nothing invented · Everything traceable · Every step checked
What is installed at the Borrowdale site, and is any of it still under warranty?
Nothing is invented.
Every fact the system produces traces to a source: a document and page, an API record, a web page and timestamp. When the sources are silent, the answer is “not stated.”
Everything is traceable.
You see counts before and after every stage, the dry run before every write, and the audit log of any assistant conversation: which sources it read, which tools it called, what it answered.
Every step is checked before the next begins.
We count first, sample before we scale, agree the structure in writing, dry-run before any write, and verify from the target system. Nothing is a one-off.
The model is rarely the problem. The plumbing is.
Across industries the same pattern repeats. Most of what an organisation knows is unstructured. People pay for that every week. Records decay quietly. AI projects fail for data reasons, not model reasons. Jantia exists to do the unglamorous part well: get the data out, get it right, get it connected, and keep it that way.
Figures from published industry research. Sources available on request.
Five layers. Buy one, or all five.
Each layer is designed to be useful on its own and better with the others.
The same five layers serve very different problems.
A few we have built or scoped.
The method is the product.
Every engagement follows the same shape, because the shape is what prevents the failures the research describes.
Count first
We inventory what you have and confirm the numbers with you. “500 documents” is often 380 unique ones and 120 copies.
Sample before scale
We process a representative sample and show you extraction quality, the records produced, and the gaps.
Define the structure with you
The ontology and field lists are agreed in writing before extraction starts. Nothing is guessed to make a table look complete.
Dry run before any write
No record reaches your systems until you have seen exactly what will be written, to which parents, and which rows could not be matched.
Verify from the target
After a write, we query the target system and report its counts, not ours.
Report the failures
What could not be processed, what was flagged, what was skipped. In the summary, not in an appendix.
Leave it runnable
Everything is a repeatable, documented pipeline. Nothing is a one-off.
Six things you can hold us to.
Nothing invented
Every fact traces to a source. When the sources are silent, the answer is “not stated.”
Nothing leaked
Rules about what must never be shown are enforced in code, tested with adversarial questions, and logged when triggered.
Nothing duplicated
Every record we write carries a stable key. Run it twice, get the same records, updated.
Nothing hidden
Counts before and after every stage. The dry run before every write. The audit log of every assistant conversation.
Nothing locked in
Your data, ontology, graph and indexes live in accounts you control and export in open formats. If we disappear, your systems keep running.
No promises we cannot keep
If a document type carries no usable data, or a source is off limits, we say so and propose the alternative.
Start small. Fixed price. Useful on its own.
Assessment
1 to 2 weeks · Fixed price
We inventory your sources, sample them, and return a written report: what is there, what can be extracted with what confidence, which questions it could answer, what it would take. Useful on its own even if nothing follows.
Pilot
3 to 6 weeks · Fixed price
A bounded slice: a few hundred documents, one or two API sources, one target system. You get the extraction quality report, a working assistant over the sample, a dry run against a sandbox, and a proposal with real numbers.
Build
Staged · Quoted after the pilot
The full scope, delivered in stages, each accepted before the next starts. Priced on volume and complexity.
Operate
Monthly · Fixed allowance of refinements
New sources processed as they arrive, assistants kept current, connectors maintained through upstream changes, monitoring, and a monthly summary of what changed.
Advisory
As needed · Day rate
For teams building this themselves: ontology design, pipeline review, evaluation design, and an honest opinion on what will and will not work.
Start with an assessment.
One to two weeks. Fixed price. A written report of what you have, what can be extracted with what confidence, and what it would take. Useful on its own even if nothing follows.