What We Do
End-to-end private AI — from strategy and infrastructure to applications and ongoing operations.
AI Safety & Privacy
Privacy-preserving AI systems: air-gapped model serving, network-isolated GPU clusters, and compliance-ready architectures that satisfy APP, APRA, and GDPR from day one.
AI Strategy for Enterprise Architecture
TOGAF-aligned strategy for agentic AI systems: AI governance, agent orchestration, and model lifecycle management as first-class architectural concerns.
Rapid AI-Led Application Development
Turn enterprise blueprints into production-grade AI applications: RAG pipelines, LangGraph agent workflows, dashboards, and ETL. Agile sprints, weekly demos.
AI Observability & Ops
Model health tracking, performance regression detection, SLA-backed incident response, and monthly reporting with cost analysis and utilisation metrics.
Products
Open-Source Products
Purpose-built tools for the AI-first enterprise — observability, testing, architecture, and autonomous delivery.
Observability Stack
Self-hosted observability for AI agent systems — OTel Collector, Phoenix tracing, and a Prometheus/Grafana/Loki stack delivering end-to-end visibility into LLM calls, workflow execution, and application health.
End-to-End Testing
SuperWeb Testing bridges source code analysis, test data generation, browser automation, and server-side log correlation into a four-phase pipeline — making E2E testing a first-class part of AI-driven development.
Executable Enterprise Architecture
TOGAF ADM made executable and AI-agentic — from architecture vision through change management, structured as traceable commands and build recipes. No EA team or Big 4 budget required.
Loop Factory
Self-improving AI-driven development engine built on LangGraph — automated strategy-to-app delivery through a seven-phase pipeline with human-in-the-loop gates and self-healing capabilities.
Ready to explore these tools in your environment?
Get In TouchBuilt for Organisations That Value Control
Every decision we make prioritises your sovereignty. No cloud API dependencies, no hidden costs, no vendor lock-in.
Your data never touches a third-party API. All models run on hardware you control, inside your network perimeter.
vLLM, Ollama, Qdrant, LangGraph — we build with tools you can audit, extend, and own. No black boxes.
Fixed-fee projects with clear scope. No surprise cloud bills. You see exactly what you pay for.
Deploy models on affordable local hardware — from a single GPU workstation to a multi-node cluster in your server room.
Fine-tuned models that improve with your data. RAG pipelines that stay current with your knowledge base.
Australian Privacy Principles, APRA, and GDPR-ready. Your data stays where your compliance requires.