Annie is a sovereign AI orchestration platform built for enterprise organisations in regulated industries. Unlike frontier AI services — where your data is processed on third-party infrastructure by third-party models — Annie runs entirely on infrastructure you control.
At its core, Annie is a hierarchical mixture-of-experts (MoE) platform. It coordinates a set of open pipeline roles — twelve today, with the architecture designed to add more as deployments grow — each filled by a specialist model suited to the task at hand. These models run locally — on your servers, your data centre, or your chosen Australian sovereign cloud — with no external API calls and no data leaving your environment.
Annie is built by Evari on the QuivaWorks agentic AI builder platform, and is designed for organisations where data sovereignty, verifiable decision-making, and long-term economic sustainability are non-negotiable requirements.
Frontier AI services — ChatGPT, Claude, Gemini — process your data on their infrastructure using their proprietary models. They are designed for broad accessibility, not regulated enterprise use. Three structural differences set Annie apart:
Data sovereignty. With frontier AI, every prompt and response passes through the provider's systems. With Annie, inference happens on infrastructure you control. Your data never leaves your environment.
Verifiable decisions. Frontier models produce outputs with no structured audit trail. Annie's Judgment Panel routes every significant output through a multi-model consensus layer, producing a structured record of which models contributed, how they voted, and why the result was accepted.
Continuous improvement. Frontier models improve on their own schedule and training data. Annie's Cognition Stream runs off-peak fine-tuning cycles on your own task data, so Annie gets better at your specific workloads over time — without your data ever leaving your infrastructure.
Annie is built for large organisations in regulated industries where data sovereignty, explainability, and long-term AI economics are critical requirements. Primary sectors include:
- Government and Defence — agencies requiring PROTECTED-level workloads and air-gapped operations
- Financial Services — banks, insurers, and wealth managers subject to APRA, ASIC, and AUSTRAC oversight
- Healthcare — providers and health funds handling sensitive patient data under Australian privacy frameworks
- Insurance — insurers and MGAs managing underwriting, claims, and compliance workflows
- Legal — firms requiring strict privilege and confidentiality controls
Annie is also suited to Australian sovereign infrastructure partners — data centre operators seeking to host high-value AI inference workloads on sovereign hardware.
Enterprise briefings are available for qualifying organisations in regulated industries. To request a briefing:
- Click Request an Enterprise Briefing on the homepage or Enterprise page.
- Complete the enquiry form — include your organisation size, sector, and primary use case.
- A member of the Annie team will respond within two business days to arrange a call.
Enterprise briefings cover Annie's architecture, deployment options, compliance positioning, and infrastructure requirements. They are non-commercial and confidential.