Orion Platform

The infrastructure layer: model routing, governance, sovereign deployment, and Meta AI Framework portability

Building AI on a single cloud platform means your data, your models, and your production roadmap are locked to someone else’s upgrade schedule and pricing decisions. When that platform changes direction, you rebuild.

Book a Catalyst™ Starter Workshop — or contact us to discuss your architecture and deployment requirements.

Orion™ is the infrastructure platform that runs every Compass™ fleet and every TNE solution. Five products — each independent, all composable. Minimal lock-in: every product is built on Orion Meta AI Framework, a tested release of open source tools you can own, fork, and recreate.

Catalyst — Customer Embedded Engineering

Not consulting — Customer Embedded Engineering. We work inside your organization, you teach us your business, we teach you AI, and together we build products that get better with every engagement.

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Orion Runtime

Orion Runtime is the production infrastructure layer that keeps your AI fleet operating at enterprise grade — automatically routing every task to the optimal model, cutting inference costs up to 50–80%, and blocking security threats in real time. Performance monitoring runs continuously across all agents with dashboards and alerts that fire before problems reach your users. When a better or cheaper model appears, Orion Runtime switches without any code changes.

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Orion Cross Platform

Orion Cross Platform keeps your Compass agents running across cloud providers, model providers, and enterprise software frameworks as the AI landscape changes. An agent retraining layer adapts your agents automatically when underlying models or platforms change — your business logic is unchanged and your outputs stay consistent. New platforms and infrastructure changes are absorbed at the infrastructure layer. You benefit from AI progress without re-engineering cycles.

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Orion Governance

Orion Governance wraps every AI decision in five independent verification layers before any output leaves the system — document verification, immutable audit logging, independent judging, cross-validation, and continuous monitoring. A single hallucinated output reaching a regulator can cost more than the entire AI program is worth. Governance is always on, covering every agent in your fleet from day one, not retrofitted when questions are asked.

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