From complex data.
To confident decisions.
Public-sector teams work across thousands of interconnected records, each with current and superseded versions, cross-referenced by hand. We build systems that read that data properly, answer questions from it, and show what a change would touch before anyone commits.
Three things a search box cannot do.
Ask in plain language
No codes to memorise and no knowledge of how the data is filed. Officers ask the question they actually have, in the words they would use with a colleague.
Get an answer with every source cited
Each statement links back to the record it came from, current or superseded, so the answer can be checked, quoted in advice, and defended in an audit.
See what a change would affect
Follow the dependencies before anyone commits: which records, which downstream documents, which cohorts and which organisations sit on the other side of the edit.
Useful AI starts with information you can trust.
We turn complex, changing information into AI systems people can check and use. Our work brings together data engineering, product development and sector expertise, preserving the sources, versions and relationships behind an answer.
In government settings that means working with the register, policy library or case files as they actually are: current and superseded editions, cross-references between records, and the version in force on a given date.
Prepare the information
Extract and structure material from the agreed records and documents.
We work from the authoritative sources you nominate, keep the original identifiers, and agree what is in and out of scope before anything is indexed.
Preserve context
Retain source references, version history and relationships between records.
A clause keeps its record, its edition and the records that depend on it, so the system can tell a current requirement from a superseded one.
Retrieve relevant evidence
Surface source material that supports an answer and helps users check it.
Answers are composed from retrieved passages and link back to them, so an officer can open the source before relying on the answer.
Support review
Show relevant connections and potential impacts so people can make informed decisions.
Before a change is made, the records that reference the affected clause are listed for review. People decide what happens next.
Where this approach has been applied.
Engagements with a professional body, a national training provider and the VET sector. Client names are withheld.
A national professional body
Multi-platform information gathering across dispersed systems, so answers are assembled from every source rather than the one someone remembers.
A national employment and training provider
Enterprise knowledge management built on machine learning and predictive analysis across a large distributed service organisation.
A national skills organisation
Assessment validation against the national training register, with a Recognition of Prior Learning component and analytics across the pipeline.
Read the project →Procurement asks these questions first.
We answer them before the technical conversation starts, because in government they decide whether the technical conversation happens at all.
Essential Eight Maturity Level 2
Aligned to the ACSC framework across our environment.
DISP accreditation underway
Defence Industry Security Program membership in progress with Syconic.
Data stays onshore
Australian Azure regions, with ISO 27001 certification in progress.
100% Australian owned
Listed in the National AI Centre's AI Directory of Australian providers.
Start with one question your data should already answer.
We start with a discovery conversation: the question, the records behind it and your constraints. Then we suggest a scoped next step.
Discuss your AI project