Now Onboarding Design Partners & Early Access

The Routing Layer for the Orbital Compute Era

Orbital GPU capacity reaches the market in 2027. One API prices your workload across modeled terrestrial rates today and computes the modeled crossover point at which orbit would beat them.

AI Compute Audit — $499 Get a Free API Key

Audit: full report in 5 business days. Free tier: key issued instantly, no credit card required.

Live Platform Telemetry
11,000+
Satellites Tracked
Modeled Uplinks in View
37
Modeled Ground Stations
—
Pass Windows · Next 2h
10
Customer-Facing Engines
2027+
Modeled Orbital Readiness
Streaming from production — SGP4 propagation on measured orbital-element data
Live Satellite Fleet
— satellites tracked
demo + modeled — no orbital GPU capacity exists today; capacity classes: committed | modeled | federated

Orbit paths illustrative — live positions at /viz

Capabilities

Why Space Compute Needs Intelligent Routing

First commercial orbital GPU capacity is expected in 2027 — and when it ships, it will only make economic sense with intelligent orchestration. We built the routing layer first: it prices terrestrial today and names the exact rate at which orbit takes over, per workload.

Real-Time Orbital Tracking

SGP4 orbital propagation using live TLE data. Precise position tracking of 11,000+ real satellites, modeled ground-station visibility windows, and pre-computed pass schedules.

Atmospheric Intelligence

Live weather monitoring at every modeled ground-station site. The engine switches between optical and RF link models based on real atmospheric conditions to estimate usable bandwidth.

Multi-Dimension Scoring

Every routing decision weighs latency, cost, queue depth, power availability, and ground station windows. Configurable weight profiles per workload type.

Cost Optimization Engine

Public engineering analyses model early orbital capacity at a multiple of terrestrial cost — the engine prices that premium straight. It compares modeled AWS, GCP, and Azure GPU rates today and computes the crossover point where orbit wins — terrestrial until then, with the analysis to prove it.

Unified Routing API

One endpoint abstracts hybrid terrestrial and orbital infrastructure. Submit a job, receive optimal routing. No re-architecture of existing systems required.

Operations Dashboard

Real-time visualization of orbital positions, modeled ground stations, routing decisions, and cost comparisons. Built for infrastructure teams and executive stakeholders.

Live Platform

Autonomous Engines, Running Right Now

A fleet of software engines tracks live satellite data, scores routes, and monitors platform health around the clock. This is their live status board — real telemetry from the running system. Showing the 10 customer-facing engines of 23 platform engines; the rest run operations (outreach, IP, revenue, load generation) and are owner-only.

Connecting to live telemetry…
Integration

Three Steps to a Defensible Routing Decision

One REST endpoint, with Python and TypeScript SDKs.

Step 01

POST your inference or training job to the /route endpoint with model specifications, latency requirements, and priority level. Standard REST API with full SDK support.

Step 02

The routing engine evaluates orbital vs. terrestrial targets across 5 dimensions in real-time -- factoring live satellite positions, weather conditions, queue depth, and cost.

Step 03

Get the routing decision with confidence score and full cost-comparison breakdown — including the crossover analysis for when orbit will beat cloud. Terrestrial wins today; the response names the exact rate at which that flips.

route_job.sh
# Route an AI inference job to optimal compute curl -X POST https://www.orbitroute.ai/api/v1/route \ -H "X-API-Key: or_..." \ -H "Content-Type: application/json" \ -d '{ "model_name": "llama-70b", "job_type": "inference", "input_size_mb": 12.5, "max_latency_ms": 100, "priority": "high", "gpu_required": "H100" }' # Response: terrestrial wins today — crossover included { "recommendation": "terrestrial", "target": "gcp-us-central1 (H100 · $3.98/hr)", "alternatives": { "aws": "$4.15/hr", "azure": "$4.30/hr" }, "orbital": "modeled — first commercial capacity expected 2027" }

Estimate Your Cross-Cloud Spread

What routing every workload to the cheapest modeled terrestrial rate could recover. Based on our modeled H100 rate card ($3.98–$4.30/hr across GCP, AWS, Azure) — terrestrial only by design; orbital rate cards arrive with the first 2027 capacity.
$2,800
Estimated monthly spread (up to ~7%)
$33,600
Projected annual spread

Lower current utilization = more idle spend to recover. Figures are projections from modeled public rate cards, capped at the ~7% cross-cloud H100 spread — not a promise. Want the real number for your stack? That is what the $499 AI Compute Audit is for.

TLS encryption on every endpoint
5 USPTO provisional applications filed (March 2026)
Public SLA Scoreboard
Pricing

Plans That Scale With You

Start free. Scale to enterprise. Upgrade, downgrade, or cancel anytime.

Free

$0
/month
Try the routing API in minutes
  • 100 routing decisions/day
  • Key issued instantly
  • Core routing API access
  • Usage endpoint
  • No credit card required
Get your key instantly

Starter

$499
/month
Design-partner seat for teams planning ahead
  • 1,000 routing decisions/day
  • Full API access
  • Quarterly AI Compute Audit included
  • Design-partner roadmap input for the 2027 capacity wave
  • Support: hello@orbitroute.ai, 1 business day

Pro

$1,999
/month
Design-partner seat at production scale
  • 100,000 routing decisions/day
  • Full API access
  • Quarterly AI Compute Audit included
  • Design-partner roadmap input for the 2027 capacity wave
  • Configurable scoring weight profiles
  • Support: hello@orbitroute.ai, 1 business day

Enterprise

$5,000
/month
For future orbital compute operators
  • 1,000,000 routing decisions/day
  • Custom integrations
  • Custom AI Compute Audit + integration support
  • Onboarding + training
  • Support: hello@orbitroute.ai, 1 business day
  • Volume discounts
The Expanding Frontier

Built for Where Space Compute Is Going

Our market scanner continuously sweeps the real satellite catalog for compute-eligible platforms. As orbital data centers launch, OrbitRoute is already positioned as the routing layer.

—
Catalog Satellites Scanned
—
Compute-Eligible
—
Modeled GPU-Equivalents (category estimate)
—
Expansion Candidates

Catalog figures are demo + modeled — no orbital GPU capacity exists today; capacity classes: committed | modeled | federated. GPU-equivalents are category estimates for third-party satellites, not hardware anyone can buy time on.

Now — Operational

Track, Score, Route

SGP4 propagation across 11,000+ live satellites, 37 modeled ground stations (KSAT/SSC/AWS/ATLAS-class sites, modeled ahead of commercial ground agreements), and 5-dimension routing decisions — live software today, orchestrated by 23 autonomous software engines.

Software live today
Horizon — The Orbital Cloud

Solar-Powered Exascale

Optical mesh networking, space-native AI training on free solar power, and an Earth-to-orbit job market. Every layer needs intelligent routing — that layer is what we're building now.

The thesis

Become a Design Partner

Apply for early access. We reply within 1 business day.

A person reads every application — hello@orbitroute.ai. No spam. Unsubscribe anytime.

Back to top