Engineered for every source
Scanned files and legacy records are extracted and classified, so every source becomes data an AI can read accurately.
Engineer the data your AI depends on
We turn scattered enterprise data into one governed layer that every agent draws on, so accuracy improves and the investment compounds.
What we engineer
Accuracy starts with the data beneath it
Knowledge that keeps up
Change detection picks up every revision to a source document and updates the knowledge layer before anyone queries it.
Grounded in your documents
Retrieval finds the passage that answers the question, and every response cites the document it came from.
Where the answers come from
An answer is only useful if it is right
Knows what it cannot answer
Where the sources cannot support an answer, the system says so and points to the closest material it has.
Accuracy measured before go-live
Before launch, the system is tested against questions your experts have already answered, and the results decide whether it is ready.
Conflicting sources resolved
A knowledge graph maps how your documents relate, so when two sources disagree the system draws on the one that governs.
Where it operates
See all case studiesGoverned outcomes, proven in production
83% reduction in discovery time with citation-backed retrieval across seven repositories
83%
Less discovery time
95%
Source traceability
7+
Repositories unified
A citation-backed retrieval layer that turns seven separate digital health repositories into one answerable source for practitioners and the public.
Read the case studyThe path to production
We operate what we engineer
Discovery
Discovery ends with a written outcome and the metric we will report against.
~1 week
Prove it on real data
We engineer against your real workflow, with its actual data and its edge cases.
~2 weeks
Go live
We move the proven system into production without your data leaving your environment.
~1 week
Validate
We test under real conditions and record the evidence your reviewers will ask for.
~2 weeks
Operate & iterate
We operate the system and report against the number agreed at the start.
Recurring
From the blogField notes from the people
All blogs