capability got cheap.
the hard part is
deployment.
Frontier models ship every quarter. The frontier that matters now is getting them into production, inside your own environment, under your compliance, without losing control of your data. That is the work we do.
FRONTIER OR OPEN-WEIGHT · DEPLOYED INSIDE YOUR BOUNDARY · RED-TEAMED BEFORE GO-LIVE
four disciplines, one pipeline.
AI, security, and cloud under one roof, so the model you ship is the model you can trust.
We deploy frontier models and autonomous agents inside your own environment: sandboxed, red-teamed, audit-ready. Frontier API (OpenAI, Anthropic, Google) or open-weight model (Hugging Face), whichever the workload and your sovereignty constraints demand.
We attack what we build: prompt injection, data leakage, model abuse, jailbreaks, insecure tool use. Then we hand you the report. A deployment isn't done until we've tried to break it and written down how it holds.
Pipelines, forecasting, and machine learning on Google Cloud and BigQuery, turning your data into decisions on infrastructure you control.
Secure, scalable infrastructure on Google Cloud and Cloudflare. ANZ-region or air-gapped where residency demands it. Your data never leaves your boundary.
built, then broken.
Map the failure modes
Every engagement opens by mapping how the system could break: data leakage, prompt injection, model abuse, jailbreaks, insecure tool use. We do it before a line of code. We design against the chaos first.
Constrain by construction
We don't trust a model to behave. We build the boundary it operates inside: sandbox, VPC, sovereign region, red-team gate. Good behaviour is enforced by architecture, not requested in a prompt.
Break it, then sign off
A deployment is done when we've tried to break it and documented how it holds, not when it produces a good answer. The red-team report is part of the deliverable.
Transfer, then exit
Your team inherits the system and the reasoning behind it. We optimise the engagement for a clean exit. We're done when you don't need us.
the forward-deployed model, for everyone the labs won't reach.
The biggest AI labs now embed their own engineers inside the Fortune 500 to make frontier AI actually land. It works, and it's the future of how AI gets adopted. But it's aimed at the largest 500 companies on earth. The ANZ mid-market, the ventures, the regulated and government-adjacent teams who can't ship their data offshore get a sales rep and an API.
We bring the forward-deployed model to them, with two things the labs structurally can't offer: vendor-neutrality (frontier or open-weight, whatever fits) and security-led by default rather than as an afterthought.
CISSP · ISO 27001 LEAD AUDITOR · ANTHROPIC CVP · ABN 59 680 402 402
deploy something you can trust.
No pitch decks. No pressure. A direct conversation about the system you're trying to ship.