v3.0 — Nebula Runtime is now in orbitRead changelog →

Intelligence
beyond Earth.

Nebula Labs builds autonomous AI systems that orbit your data, distill insight, and re-enter as decisions. A calmer, sharper way to deploy machine intelligence — without the operational debris.

Trusted by teams at
HELIXORBITALSTRATAVANTAGEPARALLAX
Capabilities

A complete stack for
orbital intelligence.

Every layer of the Nebula runtime is engineered for resilience, observability, and calm. From cognition to deployment, you get one coherent surface — not a constellation of bolted-together tools.

Adaptive cognition

Models that learn from telemetry in flight. No retraining cycles, no downtime windows — the system evolves while you sleep.

Capability 01

Real-time inference

Sub-50ms response on edge regions. Stream tokens, vectors, and decisions across 38 points of presence without cold starts.

Capability 02

Sovereign privacy

Your data stays in your gravity well. End-to-end encryption, hardware enclaves, and zero telemetry leaves your tenancy.

Capability 03

Mission orchestration

Compose multi-agent workflows with declarative intents. The runtime handles retries, sandboxing, and graceful degradation.

Capability 04

Edge deployment

Ship to 38 regions with one command. Workloads migrate based on latency, cost, and compliance constraints automatically.

Capability 05

Vector memory

Persistent context across sessions. Recall, rerank, and reuse prior missions without rebuilding indexes from scratch.

Capability 06
The Platform

A runtime that thinks
in missions.

The Nebula runtime is built around the mission primitive — a declarative unit of work that runs across regions, agents, and tools. It is the closest thing to a calm launch sequence for AI workloads.

CLI

One command to orbit

Initialize, deploy, and inspect missions from a single CLI. Built-in telemetry, secrets, and rollback.

$ nebula init
? Workspace name › helix-prod
? Regions › sfo, fra, sin
✓ Mission ready
✓ Deployed to 3 regions in 14s
Runtime

Multi-agent runtime

Declare intents — the runtime routes, retries, and reuses context across agents and tools.

mission: research-and-brief
  intent: summarize(topic, depth=3)
  agents: [crawler, distiller, writer]
  budget: { tokens: 40k, usd: 0.80 }
Stream

Real-time streaming

Bidirectional streams for tokens, vectors, and tool calls. Back-pressure aware, web-standard.

const stream = nebula.stream({
  mission: "research-and-brief",
  input: { topic: "stellar engines" }
});
for await (const chunk of stream) {
  render(chunk);
}
Versions

Reversible deployments

Every mission is versioned and observable. Roll back in milliseconds — no rebuilds, no surprises.

$ nebula rollback v2.4.1
✓ Reverted 38 regions
✓ Cache invalidated
✓ Telemetry preserved
Telemetry

Numbers that
stay calm under load.

We instrument every mission, every region, every token. The result is a platform that behaves predictably — even when your traffic spikes 12x overnight.

0
Edge regions
across 6 continents
0.00%
Uptime SLA
last 12 months
0ms
Median latency
p50, global
0.0B
Missions run
this quarter

The best AI systems should feel like weather satellites — quietly orbiting, always observing, never demanding attention until the moment insight is needed.

A
Aria Voss
Founder & CEO, Nebula Labs
Ready for launch

Put your data
in orbit.

Start with the free tier — 1,000 missions, no credit card. Scale to sovereign deployment whenever your mission demands it.

No credit card · 1,000 missions free · SOC 2 Type II · GDPR ready