Operating a constellation is a thousand decisions a day.
Apsia shows you the ones that matter — ranked, explained, and weighed against the rest of your mission.
An avoidance burn clears one risk and quietly creates others — fuel you can’t spare, power your payload needs, the next ground pass you’ll miss. Today those trade-offs sit in disconnected tools, and you see them after the fact.
Apsia shows you all of it on one screen — before you commit the maneuver. Every option ranked by its real cost across the whole mission — Δv, fuel, power, collision risk and lost contacts — weighed together.
Earth-observation and telecom operators run different missions but hit the same wall: every maneuver costs something everywhere else. Apsia reasons across all of it — and the same engine extends to orbital datacenters and energy as they arrive.
Conjunction follow-up that scales, fuel and disposal as one budget, and the revenue cost of every dodge — imaging minutes and scenes lost — priced before you maneuver.
Maneuver volume past human-in-the-loop, end-of-life disposal in the same call, and the exact moment when holding inclination stops paying off — letting it drift turns fuel into years of life.
Compute scheduled and throttled against a thermal-power envelope that moves with the orbit — the binding constraint, handled by the same engine.
If power ever comes from orbit, routing it to the right ground site — by demand, price and weather — is a decision problem. The same engine, aimed at a new question.
Apsia ranks every maneuver, slew and schedule change by what it costs the whole mission — fuel, power, heat and collision risk — and tells you which to run first.
Screens your fleet for close approaches, ranks each by real risk and sizes the smallest avoidance maneuver that clears the corridor — before it becomes an emergency.
Reads live space weather and flags the orbit corrections to make before a storm hits — so you protect hardware and keep delivering instead of going dark.
Run your constellation forward — years of operations in minutes — and see how a decision plays out before you commit it on orbit.
Finds the conjunction geometries that cascade — the ones a pair-by-pair check misses — and clears them before they become a problem.
The Kp index and storm risk are live from NOAA SWPC. The constellation is a digital twin reacting to that data in real time — the same engine that runs on your fleet once you connect it.
Four jobs, one engine: decide, stay safe, run datacenters in orbit — all on your live data.
Your fleet's data in, ranked decisions out, outcomes fed back — the routine calls handled without an operator in the loop.
Every maneuver, slew and schedule change ranked by what it costs the whole mission — Δv, fuel, power, thermal and collision risk.
Station-keeping, avoidance and phasing folded into one fuel-aware schedule across the fleet, days ahead.
Screen the fleet against tracked objects and classify the risk before a close approach becomes a problem.
From conjunction alert to a fuel-optimal evasive maneuver in seconds, coordinated so one fix doesn't trigger the next.
How crowded each spacecraft's neighbourhood is now and over the coming days — the number that should drive maneuver cadence.
Place compute workloads where there's spare power, thermal headroom and the right pass to the customer on the ground.
Forecast thermal cycles days ahead and schedule around them, so components stay inside their rated limits.
Route power and work around each element's heat headroom, so one hot unit never forces the rest to overwork.
Live fleet state, conjunctions, weather and decisions fused into the one operational picture a control room needs.
Track debris, deorbit and spectrum rules continuously, and produce the evidence regulators and investors ask for.
Pull Apsia decisions straight into your ground systems — per-org keys, clear limits, stable schemas.
When orbital solar farms fly, Apsia keeps a power-beaming constellation pointed, full and earning — one operating picture, not a fleet to babysit.
The orbital-energy economy is still being built. The decision layer that will run it doesn’t have to wait — the same cross-impact reasoning scales from a working constellation to a power grid in orbit.
When orbital solar farms come online, the same intelligence keeps every collector pointed and productive — maximizing clean power yield per satellite.
Plan power generation and budgets for any orbital asset — from constellations to space stations and in-orbit servicing platforms.
When power is delivered from orbit, route it to the ground sites that need it most — scored on demand, price and atmospheric conditions.
Solar relay satellites that carry power through the 14-day lunar night, and collector arrays sized for interplanetary missions.
The power-and-thermal brain for space-based compute — eclipse-aware workload scheduling, battery headroom and heat budgets for orbital GPU clusters.
Every figure below comes from the engine itself, running on live public orbital, space-weather and energy data with industry-standard orbit propagation — no marketing baselines.
Space-based power isn’t here yet — but when it arrives, picking the destination won’t be your call: your contracts and the grid decide that. What matters is how much you can actually deliver to each site, when, and at what cost and revenue. Apsia quantifies it — cloud climatology, orbital visibility, electricity price and grid carbon — so the call is made on numbers, not guesses.
We work with constellation operators, space agencies and orbital infrastructure teams. Tell us about your mission and we’ll show you what Apsia surfaces on your own data.