Deploy a fully sovereign AI workspace inside your own cloud environment. Bring your own approved models, maintain complete data sovereignty, and give your workforce access to frontier AI capabilities — all under your control, in your jurisdiction, on your infrastructure.
Simtheory deploys entirely inside your approved cloud environment. Your data, your models, your infrastructure — nothing is shared, nothing is co-located, and nothing crosses a boundary you haven't authorised. This isn't "government-ready" bolted onto a SaaS product. It's a sovereign deployment, built for environments where data residency isn't optional.
Runs entirely inside your AWS, Azure, or GCP environment. No data ever leaves your sovereign boundary.
Use your approved model endpoints — Azure OpenAI on Azure Government, AWS Bedrock on GovCloud, or self-hosted models. You choose what runs.
No training on your data. No co-tenancy. No external API calls you haven't explicitly approved.
Every component of the Simtheory platform runs within your cloud environment. There is no call-home, no shared infrastructure, and no dependency on Simtheory-hosted services. Your security team retains full control.
Deployed to your AWS GovCloud, Azure Government, GCP, or on-premise infrastructure
Azure OpenAI on Azure Government, AWS Bedrock on GovCloud, Google Vertex AI, or self-hosted open-source models
All storage, databases, and caches run inside your environment with your encryption keys
No call-home, no telemetry, no shared services. Fully air-gappable architecture
Customer-managed keys for all data at rest and in transit. Full key lifecycle control
Data residency guaranteed by deployment — your data physically stays in your jurisdiction
SAML, OAuth, OIDC — integrate with your existing identity provider and directory services
Every action logged to your SIEM. Complete chain of custody for all AI interactions
Connect your existing model endpoints — Azure OpenAI on Azure Government (GPT-4o, GPT-4.1 and more), AWS Bedrock on GovCloud (Claude, Titan), Google Vertex AI, or self-hosted open-source models. Your teams get access to the best models available within your approved security boundary.
AI agents that plan, reason, and execute multi-step tasks. Delegate real work — research, analysis, document processing — with built-in approval gates for safety.
Build department-specific assistants grounded in your policy documents, procedures, and knowledge bases. Share across teams with fine-grained access controls.
Encode standard operating procedures as reusable AI skills. Build an organisational knowledge repository that every team member's agents can draw from.
Multi-source research tools that synthesise information from policy databases, academic papers, and approved external sources. Answers in minutes, not weeks.
Process reports, briefings, spreadsheets, and PDFs. Generate documents, presentations, and data visualisations — all within your sovereign environment.
Schedule recurring AI tasks — daily briefings, weekly compliance summaries, monthly reports. Describe in plain language and let agents handle the rest.
Build AI assistants tailored to each department's needs. Ground them in your policies, procedures, and approved data sources. Share them across agencies or keep them departmental. Every interaction stays inside your perimeter.
Granular role-based access, full audit logging, content safety controls, and model governance. Everything your CISO needs to approve the deployment.
Granular access control aligned to your organisational structure
Set usage limits per role from 25K to 1M tokens per interaction
Every action logged — exportable to your SIEM or compliance system
Configurable content moderation thresholds with per-user monitoring
Approve which models are available and set defaults per department
Restrict which integrations each role can access — no shadow tools
Host and distribute MCPs via AWS MCP Server, Azure Functions, or Cloudflare Workers — all within your sovereign boundary
Built-in training programs with completion tracking and certification
Adoption dashboards, model usage, token consumption by team and user
Independently audited security controls
Full data protection compliance
Certification in progress
Australian Government security assessment by ASD-endorsed assessors
Your keys, your control, at rest and in transit
Your data is never used to train any model
Guaranteed by deployment — data stays in your jurisdiction
Regular third-party security assessments
No external dependencies — runs fully isolated
Ongoing vulnerability disclosure
Simtheory deploys directly into your cloud environment. You own the infrastructure, the data, and the model endpoints. We provide the platform, implementation support, and ongoing maintenance.
Full sovereignty — your cloud, your models, your rules
The entire Simtheory platform — application, database, storage, caches — is deployed inside your cloud tenancy. For government customers, this typically means AWS GovCloud (US) or Azure Government, though we also support standard AWS, Azure, GCP, and on-premise infrastructure. No components run outside your environment. You retain full control over networking, access, and encryption.
Yes. Enterprise Connect supports Azure OpenAI Service (available on Azure Government with GPT-4o, GPT-4.1 and more), AWS Bedrock on GovCloud (Claude, Titan models with FedRAMP High authorisation), Google Vertex AI, and any OpenAI-compatible API. You point Simtheory at your approved endpoints — we never provision model access on your behalf.
No. In an Enterprise Connect deployment, all data resides in your environment with your encryption keys. Simtheory does not have access to your data, conversations, or model interactions. Maintenance and updates are handled via your approved change management process.
Yes. The architecture has no mandatory external dependencies. For environments that require it, Simtheory can be deployed with no outbound internet connectivity. Updates are delivered via secure transfer packages.
Enterprise Connect supports up to 100,000 seats. The deployment scales within your cloud infrastructure — resource allocation is entirely under your control.
Yes. Simtheory supports cloud-hosted remote MCPs out of the box. Host your custom integrations on AWS MCP Server (with SigV4 authentication and IAM controls), Azure Functions (with Microsoft Entra authentication), Azure App Service, Google Cloud Run, or Cloudflare Workers — all within your sovereign boundary. Your teams can build, distribute, and manage MCPs centrally with full audit trails.
SOC 2 Type II certified. GDPR compliant. ISO 27001 and ISO 42001 certification in progress. IRAP assessed for Australian Government requirements. The sovereign deployment model inherently supports data residency requirements for most government compliance frameworks, including FedRAMP (via AWS GovCloud / Azure Government infrastructure).
The Simtheory team delivered what universities typically dream of but rarely get: a cutting-edge AI platform that actually understands academic needs. They navigated our data privacy requirements and treated our success as their personal mission. In an industry crawling with vendors, Simtheory stands out as a true partner who delivers on their promises.
Talk to our team about deploying Simtheory inside your cloud environment with your approved models and complete data sovereignty.
