Nebulon is the deployment layer for modern AI teams — vector search, inference routing, and observability on one control plane, built for engineers who'd rather review diffs than dashboards.
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Six production-grade building blocks. One API surface. No third-party glue code to keep behaving at 3am.
Edge-routed model calls with smart caching and streamed tokens — latency budgets you can actually promise to users.
Per-request signing, tenant isolation, and BYOK encryption. SOC 2 Type II, ISO 27001, HIPAA-ready — no upgrades required.
Pull requests on models, prompts, and indexes. Rollbacks that take seconds, not an incident retrospective.
Token-level tracing, cost heatmaps, and drift alerts — live from the first request, not after a six-week integration.
TypeScript, Python, Go, and Rust SDKs — plus a single curl-friendly API. No proprietary client required to go to prod.
Route traffic to the cheapest healthy region in real time. AWS, GCP, Azure, and sovereign-cloud endpoints on one bill.
No architects required. Connect your stack, pick a region, and roll out — the boring parts are already solved.
Install the CLI, authenticate with SSO, and point Nebulon at your existing vector store or model endpoints. Two commands, zero rewrites.
Declare regions, routing rules, and rate limits in a single YAML file that lives in your repo. CI validates every change before it hits production.
Merge the PR. Nebulon rolls the change out per region with health checks, auto-rollback, and a Slack ping when p99 latency clears.
Platform leads, staff engineers, and heads of infra on what shipping with Nebulon actually felt like.
Transparent, usage-based pricing with a generous free tier. No per-seat traps, no annual lock-ins on the starter plan.
Fourteen days on the house. No credit card, no sales call — just a CLI and your own stack.