OpenLoop connects decentralized data centers into a single, continuous feedback engine — giving enterprise AI the infrastructure to learn, adapt, and execute in real-time.
Capabilities
Our proprietary balancer routes queries to the most efficient model, reducing enterprise GPU costs by up to 40% while maintaining deterministic outputs.
Deploy OpenLoop entirely within your own VPC. Total data sovereignty with zero external API calls.
Built-in feedback loops capture human-in-the-loop corrections and automatically fine-tune models at the edge.
Full audit trails for every AI decision. Track token usage, monitor hallucination rates, and set strict execution guardrails before agents take action in your systems.
Developer Experience
We designed the OpenLoop SDK to be a drop-in replacement for standard OpenAI or Anthropic libraries. No massive architectural rewrites required. Just point your endpoints to our edge network and immediately unlock cost optimization, caching, and dynamic routing.
Read Documentation"OpenLoop didn't just reduce our inference costs by 40%. It fundamentally changed how we architect our autonomous agents. It is the missing infrastructure layer for enterprise AI."
Join the institutions already running inference at the edge. Request access to our financials and technical diligence package.