Industries

Same shape. Different constraint.

The reason a private deployment wins is never the same twice — a jurisdiction, an entitlement model, an ethical wall, a clause about training data. Below are four places that constraint shows up, what it rules out, and what we build instead. Hover any demo to play it.

01

Healthcare & medical research

Hospitals · health groups · research institutes
Demo · De-identify, retrieve, answer — all inside the boundary · swipe
Hover to play
PATIENT DATA BOUNDARY · STAYS IN AUSTRALIAEMR recordsadmissions, notesImaging · PACSstudies and reportsPathologyresults and historyDE-IDENTIFYnames, MRN, datesstripped before useREVERSIBLEAPEX FABRIC™ · PRIVATE MODELClinical language modelGuideline indexLocal retrievalCLINICIAN VIEWSummary, with the sourceparagraph beside it.no invented referencesCITEDIN CHARTAUDITEDno egress

Illustrative — a simplified depiction of how the work is structured, not a description of any specific client deployment.

The constraint

Patient identifiers, imaging and pathology cannot leave the jurisdiction, and a consent form rarely extends to a third party’s model. Clinicians will not act on an answer they cannot trace back to a source paragraph.

What APEX does

Dedicated hardware inside your own boundary or in the APEX data centre. De-identification ahead of retrieval, a local index over your guidelines and records, and a citation returned beside every claim.

What changes

Summarisation, coding support and literature work happen on site. The audit trail is a by-product of how the system is built, not a separate project.

02

Financial services

Banks · insurers · wealth · funds
Demo · Entitlement gate, approved version, immutable ledger · swipe
Hover to play
Adviser questionfront officeRisk model runmiddle officeClient documentoperationsENTITLEMENT GATEWho is askingWhat they may seeWhich model versionAPPROVED MODELversion 4.2 · signedchange-controlled releaseRuns on dedicated hardwareinside your own tenancy.ANSWER · TRACEABLEPosition, method, and theinputs it was based on.Reproducible on requestmonths after the fact.IMMUTABLE AUDIT LEDGERWHOPROMPTMODEL VERDATA TOUCHEDAPPROVERTIMEevery request, kept

Illustrative — a simplified depiction of how the work is structured, not a description of any specific client deployment.

The constraint

Model use has to be explainable months later, to a regulator who was not in the room. Entitlements differ by desk, and a shared endpoint cannot prove which data an answer actually touched.

What APEX does

One approved, version-signed model per use case. An entitlement gate in front of retrieval, and an append-only record of who asked what, on which version, against which data.

What changes

A reproducible answer rather than a plausible one — and model governance that no longer rests on a vendor’s assurance.

04

Engineering & product teams

An internal department · engineering, data, platform
Demo · Nightly index over your own repositories, served to the editor · swipe
Hover to play
YOUR OWN SOURCESMonorepo1.4M linesDesign docsConfluence exportTicketsJira historyRunbookson-call notesINDEXrebuilt nightly onyour own hardwareASSISTANT IN THE EDITORdefsettle_batch(ledger, window):#apex— same locking order as billing/reconcile.pywithledger.lock(window, mode=EXCLUSIVE):return_apply(ledger.pending(window))It knows this codebase because it was indexed here — not because the code was sent anywhere.Nothing sent outno public endpointNot training datayours stays yoursRuns at your desk speeddedicated GPUs

Illustrative — a simplified depiction of how the work is structured, not a description of any specific client deployment.

The constraint

The context that would actually help is the company’s own code, tickets and runbooks — exactly the material that cannot be pasted into a public assistant. And latency at the keyboard decides whether anyone uses it twice.

What APEX does

A nightly index across your repositories and internal writing, served to the editor from dedicated GPUs on your own network, with the same access rules your source control already has.

What changes

Answers that know your codebase and your conventions — and no clause anywhere that turns your source into someone else’s training set.

Not on this list

Tell us the constraint. We will tell you the shape.

Every engagement starts with the same three questions. Answer them and we can say quickly whether a dedicated deployment is the right call — or whether it is not.

  • 01What is the workload, and who uses it day to day?
  • 02Where must the data stay, and who is allowed to see it?
  • 03What do you have to be able to prove, and to whom?