LagrangeOS
See the mission engine
AI-native astrodynamics and autonomy infrastructure

Experimental astrodynamics, accelerated by AI.

AI-native mission design, simulation, and autonomy validation for the next generation of orbital operations.

Request a pilotExplore platform
Physics-first AI
Trajectory generation, maneuver optimization, and orbit determination intelligence.
Decision intelligence
Human-approved rankings across \(\Delta v\), time, robustness, safety, and recoverability.

LagrangeOS is decision support and validation infrastructure. Not flight-certified without validation.

Mission sandbox (visual)
demo-ready UI
transfer families • constraints • dispersions
decision intelligence preview
Candidate transfers
Lambert + low-thrust envelopes with constraints.
ranked
Uncertainty simulation
Monte Carlo dispersions + observability checks.
stress-test
Autonomy validation
Logic checks: safety, recovery, and contingencies.
verify
Trajectory candidates
10–10,000+
generated under mission constraints
Trade study time
days → hours
ranked maneuvers + uncertainty tests
Outputs
decision intel
\(\Delta v\), time, robustness, observability, safety
Scope
LEO → cislunar
rendezvous, logistics, deep-space autonomy prep

The problem: mission analysis is slow, bespoke, and fragile.

Astrodynamics workflows are still built from scattered scripts, brittle pipelines, and specialist time. Trade studies take too long, uncertainty is hard to quantify, and autonomy logic is difficult to validate before a mission becomes irreversible.

  • Fragmented trajectory design and maneuver planning
  • Unclear robustness under dispersions and measurement error
  • Autonomy logic lacks repeatable validation harnesses
  • Outputs don’t translate to decision-ready rankings
What teams end up doing
Custom scripts
One-off solvers and plotting pipelines that drift from reality.
Manual trade studies
Endless parameter sweeps with inconsistent assumptions.
Late validation
Autonomy and safety checks happen too late to iterate.
The solution

A physics-first AI mission engine for decision intelligence.

LagrangeOS helps teams define constraints, generate candidate trajectories, simulate uncertainty, validate autonomy logic, and rank maneuver strategies with traceable reasoning.

Trajectory generation
Transfers, burns, and windows under constraints.
Maneuver optimization
Rank \(\Delta v\), time, risk, and controllability.
Orbit determination intelligence
Observability + sensor fusion readiness checks.
Simulation under uncertainty
Dispersions, measurement noise, and contingency paths.
Platform features

Modules that grow with your mission profile.

AI mission reasoning
human-approved
Constraint-aware suggestions with physics-backed traces.
Rendezvous & proximity operations
RPO
Approach corridors, safety constraints, and maneuver sequencing.
Autonomy validation
validate
Stress-test logic against dispersions, faults, and timing uncertainty.
Mission memory
future
A structured record of assumptions, decisions, and scenario outcomes.
Cislunar planning
future
Transfers, staging, and logistics decision intelligence.
Small-body navigation
future
Uncertainty-driven planning for asteroid/comet operations.
Uncertainty simulation
core
Monte Carlo runs, dispersion envelopes, and robustness scoring.
Orbit determination module
core
Sensor fusion readiness and observability-informed maneuvers.
Secure enterprise deployment
later
Hardened deployments for defense/enterprise environments (later).
Use cases

Built for the teams pushing the frontier.

Commercial operators, in-space servicing teams, cislunar logistics, deep-space mission teams, aerospace labs, universities, and defense contractors need faster iteration with credible, physics-grounded outputs.

Cislunar transfers and logistics
In-space servicing and docking
Small-body asteroid and comet operations
Formation flying
Orbit determination and sensor fusion
Deep-space autonomy and contingency planning
Defense and national security space operations
University and lab research workflows
Mission engine workflow

From constraints → candidates → decision intelligence.

LagrangeOS is designed to be a repeatable decision engine: you define constraints, it proposes candidates, physics constrains them, simulations test robustness, and humans approve the chosen strategy.

01
Define constraints
Orbits, timelines, safety corridors, thrust limits, sensing, comms.
02
Generate candidates
Trajectory families, maneuver sequences, windows, and contingencies.
03
Simulate uncertainty
Dispersions, measurement noise, control errors, and failure modes.
04
Rank and export
Decision intelligence with traceable scoring and assumptions.
Product demo (concept)
no flight-control claims
Output: maneuver strategy ranking
Strategy A — robust Lambert transfer
0.86
low risk • good observability • moderate Δv
Strategy B — aggressive time-optimal
0.73
fast • higher sensitivity • tighter sensing
Strategy C — contingency-heavy
0.79
recoverable • more burns • higher operations burden
Technical credibility

Decision support, validation infrastructure — not spacecraft control.

LagrangeOS is built for mission design and autonomy validation: simulation-driven evidence and traceable reasoning so teams can approve decisions with confidence.

AI proposes. Physics constrains. Simulation tests. Humans approve.

We do not claim to control real spacecraft today. Outputs are designed for mission teams to validate and approve — and must be independently verified before operational use.

Buyers

Built for teams shipping missions, not slide decks.

  • Commercial operators optimizing station-keeping and maneuvers
  • In-space servicing teams designing safe RPO sequences
  • Cislunar logistics planning for transfers and staging
  • Labs and universities building repeatable benchmarks
Business model

Mission engine platform, delivered as software infrastructure.

Pilot engagements
Focused mission scenario + deliverable decision intelligence outputs.
Platform subscription
Team access to the mission engine modules as they mature.
Enterprise / defense
Secure deployment and governance (later), aligned to requirements.
Roadmap

From demo-ready decision engine → full autonomy validation cloud.

Now (MVP)
  • Premium technical website
  • Mission engine narrative + demo artifacts
  • Autobuilder foundation system for durable iteration
Next
  • Interactive mission sandbox
  • Trajectory ranking engine
  • RPO planner + OD intelligence module
Later
  • Cislunar transfer planner
  • Small-body navigation toolkit
  • Secure enterprise/defense deployments

Bring your mission constraints. We’ll return decision intelligence.

If you’re designing maneuvers, validating autonomy logic, or running trade studies under uncertainty, LagrangeOS is built for you.

Pilot request (email)

For now, contact pilots@lagrangeos.ai (placeholder).

Email pilot request
Not flight-certified without validation. Decision support and verification infrastructure.