Run · Astrolift AI
Ship AI without making your platform team invent the runtime.
Astrolift AI takes AI workloads from CI to a repeatable runtime with deployment, health, logs, operational controls, and supply-chain checks under one contract. Use the MIT-licensed core yourself, or add Calliope AI support and implementation.
What Astrolift AI owns
One runtime contract from build to operation.
Build in CI
Package workloads consistently and attach the metadata, image, and supply-chain information the runtime needs.
See the build path →Run predictably
Deploy the same workload contract into the approved environment without teaching every team a new cloud-specific process.
See BYOC deployment →Observe the platform
Expose deployment state, health, logs, and runtime telemetry so operators can see what is running and whether it is healthy.
See the operating model →Control the runtime
Apply approved resource, networking, and operational settings at the platform layer while customer IAM and network controls remain in force.
Discuss isolated environments →Secure the supply chain
Carry software bill of materials and vulnerability information alongside the artifact instead of reconstructing it after deployment.
Review the architecture →Deployment reality, in plain English.
AWS is the supported cloud path today. The architecture is designed to carry the same workload contract across backends, while the implementation and runbooks for additional clouds are still being completed. Local or in-boundary models provide zero-egress inference; approved hosted models receive requests directly from your environment.
