From code to production, automatically.
Push a repo. ContextOS inspects your app and provisions databases, networking, secrets, and compute. No YAML. No Terraform. No Helm. No DevOps hire required.
ContextOS gives you enterprise-grade scale, security, and global reach—with the simplicity and cost of a developer platform.
Writing software just got 100x faster. Shipping it didn’t.
Push a repo. ContextOS inspects your app and provisions databases, networking, secrets, and compute. No YAML. No Terraform. No Helm. No DevOps hire required.
From your first user to your millionth, same platform, zero re-platforming. Your app grows from a single machine to multiple datacenters and regions without a re-architecture.
ContextOS handles placement, replication, and inter-service communication. Your code calls localhost. ContextOS handles the rest.
Beautiful onboarding. Databases with no SLAs. Then you outgrow them and rebuild on AWS.
200+ services. IAM that needs a specialist. Months of configuration before you ship.
Complicated software stack makes deployment, management, and scaling expensive and painful.
Production-ready from your first commit. Scales to whatever you become. Without a re-platform.
ContextOS gives you enterprise-grade scale, security, and global reach, with the simplicity and cost of a developer platform. Cloud, on-prem, or hybrid, your infrastructure choices stay yours.
Every workload runs inside its own dedicated network, created at startup and removed when it stops. No shared infrastructure, static firewall rules, or credentials to manage.
ContextOS places, scales, and heals workloads across machines and regions automatically — no schedulers to tune, no capacity plans to babysit.
Databases, queues, vector databases, and AI ship as first-class services — provisioned with your app and scaled alongside it.
GPU pooling, model runtimes, vector databases, and RAG pipelines are provisioned the same way as your other services. Same UI, same network, same isolation. No separate AI infrastructure to build, no third-party inference required.
ContextOS handles placement, replication, and inter-service communication. Your code keeps using localhost calls. The platform makes them distributed.
Active
Every service authenticates every connection. No default-allow, no lateral movement, no service mesh to configure.
Failed instances restart automatically. Traffic reroutes without a redeploy. No runbooks to write, no on-call rotation to build, no 4am kubectl.
Every workload scales with real demand. No thresholds to tune, no capacity to pre-provision, no minimum instance floors. Your bill matches your usage, not your peak.
Ship a container for your API, a VM for your legacy service, a GPU pool for inference. No separate platforms, no different tooling, no context switching.