Major cloud providers — AWS, Microsoft Azure, Google Cloud — are investing heavily in AI infrastructure, and their scale, hardware purchasing power, and global reach create genuine cost and performance advantages. TNE.ai™ is designed to work with these providers, not around them. Orion™ runs on your preferred cloud infrastructure while adding the model independence and governance layer that hyperscaler-native AI tools do not provide: the ability to run any model, switch providers freely, and keep your data within boundaries you control.
The structural risk with hyperscaler AI is concentration: over time, your data, your models, and your workflows become dependent on one provider’s platform decisions. Orion’s model-agnostic routing lets you run workloads on AWS one day and Azure the next based on cost and performance, without rebuilding. Orion Meta AI Framework’s open-source foundation means your infrastructure layer is auditable and never captive to a cloud vendor’s roadmap. And for workloads where cloud costs are high or data residency matters, Orion routes to on-premise or private cloud infrastructure using the same governance and monitoring layer.
- Cloud-agnostic deployment — Orion runs on AWS, Azure, Google Cloud, or on-premise infrastructure; switch or combine providers without rebuilding
- Sovereign data control — route sensitive workloads to on-premise or private cloud environments while using public cloud for lower-sensitivity tasks
- Cost optimization across providers — Orion selects the cheapest infrastructure that meets your latency and quality requirements at any given moment
- Open-source foundation — Orion Meta AI Framework is auditable and forkable; the infrastructure layer is never captive to a cloud vendor’s decisions
- Governance layer above hyperscaler AI — Orion Governance adds five-layer verification on top of any hyperscaler model, including managed APIs