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Applied AI & knowledge systems

Real software. AI on the inside.

We build production systems that turn messy information — testimony, consultations, public records, transactions — into evidence you can act on. Engineers, not advisors. Every engagement ships running software.

18,192
pages of commission testimony indexed, page-level provenance intact
81,712
speaker turns chunked and embedded for semantic search
~49,000
extracted claims, every one traceable back to its source page
7
systems in production, pilot, or active research

What we build

01 · Evidence

Knowledge & evidence systems

Knowledge graphs where a mention is not a claim, a claim is not a finding, and a finding is not a fact. Retrieval that shows its sources.

02 · Capture

Voice & document intelligence

Real-time transcription and structured note generation. Extracting structure from PDFs, statements, contracts, technical reports.

03 · Platform

Platforms & pipelines

Cloud Run and Kubernetes platforms, scheduled pipelines, agents, and the alerting that makes a degraded system announce itself.

Selected work

All seven projects →
Commission Transcript Intelligence South Africa's commissions of inquiry, made searchable, mappable, and checkable. Case study →
MedVoice Voice-first clinical documentation for South African general practice. Founding pilots
Trafficking Intelligence Web intelligence on human trafficking in South Africa, from news to knowledge graph. Operational

How engagements work

Three shapes. Each one ends with software running somewhere, not a document.

2–3 weeks

Diagnostic

We take your messiest data source and come back with a working prototype plus an honest answer on whether AI earns its place.

2–6 months

Build

Design and engineering through to production: the pipeline, the store, the interface, the deployment, the alerting, the handover.

Ongoing

Product partnership

Technical leadership on a product you own, or a co-built venture. Selective, and only where the domain is worth years.