Annie is a sovereign AI orchestration platform for regulated industries. Proprietary foundation models. Infrastructure you control. Verified output on every decision. Built for the work that can't afford to be wrong.
ChatGPT, Claude, Gemini — impressive feats of engineering at planetary scale. But the more you understand how they are built, the clearer the problems become for regulated industries.
Annie is a verified AI orchestration platform — a system of open pipeline roles (twelve today, expanding as deployments grow) designed to classify, route, judge, and verify expert responses before responding. It ships with sovereign Workforce Foundation Models and is designed so your domain knowledge, your models, and your competitive advantage stay yours.
Open pipeline roles — twelve today. Bring your own models — your domain specialist, your risk model, your classified system. Annie orchestrates them. Your IP never leaves your infrastructure.
Every model output is cross-checked by an independent Judgment Panel using domain rubrics, then verified against the original prompt. Hallucination is a managed risk, not an accepted one.
Cognition Stream continuously fine-tunes your specialist models on your own data — in off-peak cycles, starting at $5 per run. The longer Annie runs, the more precisely it reflects your organisation.
Every component deploys on infrastructure you control. No external API calls. No data leaves your jurisdiction.
Base model trained from scratch — no dependency on external weights. Fully air-gappable. Every model, every inference step, every verification decision runs on your hardware. Provider outages, export controls, geopolitical events, and platform decisions made in another country's boardroom — none of these reach you. Sovereignty is not a feature. It is the consequence of building the architecture correctly.
Multi-model consensus and a full decision trail — built into the platform, not bolted on as a feature.
Every expert response is scored by the Judgment Panel using domain rubrics, verified against the original prompt, and re-routed if it fails. Compliance teams get the audit trail without asking. Regulators get the decision record they require. Hallucination reduction of 4–67% vs. single-model approaches. Calibration error reduced by 49–74% across medical benchmarks.
Open pipeline roles — twelve today. Your competitive advantage stays yours. Annie orchestrates it.
Every slot in the pipeline is replaceable with your own model. A bank's proprietary risk model runs alongside Evari's foundation models. A defence contractor's classified specialist never leaves their infrastructure. A health service adds a clinical decision model. Annie provides the orchestration, verification, and improvement pipeline. The domain expertise is yours to own.
10–100× lower inference cost than frontier APIs at enterprise volume.
Specialists run on standard inference GPUs. Intelligent routing directs 80–95% of queries to the most cost-efficient path. Multi-model consensus costs less than single-model inference at frontier scale. Continuous improvement via Cognition Stream runs starting at $5 per cycle — no million-dollar retraining bills, no waiting on a provider to release a new version.
Annie deploys on sovereign infrastructure you control — your own data centre, an Australian sovereign cloud partner, or a fully air-gapped private environment. No hyperscaler dependency at any layer of the stack.
Your data centre, a sovereign cloud partner, or fully air-gapped. You decide where Annie runs and who can reach it.
Workforce Foundation Models ship with the platform — you are not starting from zero. They run the verification pipeline out of the box from day one.
Add your specialist models, your domain knowledge, your proprietary data. Open pipeline roles — twelve today — any slot is replaceable with a model you own.
Cognition Stream fine-tunes your specialists on real interactions, in off-peak cycles. No manual retraining. The system gets sharper without intervention.
For technical evaluators who need to brief internal stakeholders before a sales conversation, the Annie Architecture Overview is a 12-page document covering the pipeline, verification layer, deployment model, and security posture. It's ungated for procurement-relevant content but gated for the full technical detail.
Written for CISOs, CTOs, and security architects evaluating sovereign AI for regulated workloads. Covers the platform architecture, the verification pipeline, the deployment options, and the controls you need to defend the choice internally.
If you're evaluating Annie for a regulated workload, this document is designed to be forwarded internally. The full architecture detail is gated so we can verify the request is from a real evaluation context. If you need it under NDA, mention that when we follow up.
Sovereign AI for high-classification environments. Annie can be deployed fully air-gapped with no external API calls, supports PROTECTED workload certification, and is designed for Five Eyes interoperability requirements. Every inference stays on sovereign infrastructure.
APRA-regulated environments demand domain precision and a complete, auditable decision record. Annie fine-tunes specialist models on your own data — underwriting, claims, compliance, risk — and the Judgment Panel produces verified output with full reasoning chains for every decision.
Patient data must stay sovereign. Clinical outputs must be accurate and explainable. Annie deploys on-premises within your existing infrastructure, fine-tunes on your clinical data without it ever leaving the boundary, and produces explainable reasoning chains suitable for clinical review.
Jurisdictional data control is non-negotiable across legal, regulatory, and compliance functions. Annie's Judgment Panel verifies every output against defined rubrics, producing a traceable chain of reasoning that can withstand professional scrutiny — whether that's a legal opinion, a compliance sign-off, or a regulatory submission.
Talk to us about your requirements. We'll walk you through the architecture, the deployment model, and what a sovereign AI platform looks like for your sector.
