AKASX

Physical AI×Space AI

Space AI that says what it measured.

LEO · 400–600 kmT+00:00:00F10.7 · Kp · Dst
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The problem

~16,000 satellites.
Physics we still predict badly.

Storm

The Sun erupts. Drag rises on every low satellite. Hundreds of objects must be found again.

Lost

A satellite burns. The public catalogue keeps the old orbit for days.

Offline

Analysts on closed networks. Data they cannot find.

01 / Thermosphere

AKASX Drag

0%

storm-time density error · vs 13.11 % best CCMC model · NASA/CCMC CAMEL

Measured with a look-ahead NRLMSIS input; real-time results vary.

02 / Manoeuvre

AKASX Custody

0km

median position error after a burn · vs 3.14 km SGP4 on the last TLE

03 / Sun

AKASX F10.7

0sfu

1–3 day solar flux error · vs 10.50 sfu SWPC

04 / Knowledge

AKASX Science Search

Air‑gapped.

space-science literature search, fully offline

05 / Device

AKASX Edge

Any CPU.

the models offline · licensed · self-testing

06 / Pole star

AKASX DHRUV

Cites. Never invents.

the analyst co-pilot · cites its sources · never invents orbital numbers

Thesis

Physical AI×Space AI

Models of real physics. Atmosphere, orbit, sun. Measured, then shipped.

Every kilometre · every percent

  • Search time
  • Imaging time
  • Fuel
  • Mission life

Who it is for

DefenceCustody · space domain awareness
Civil agenciesSpace weather · traffic
Satellite operatorsDrag · storms · planning
Energy gridsGeomagnetic storms
InsuranceIn-orbit risk
ResearchAir-gapped science search

Start

Free evaluation→Replay your own cases

Scored by a rule we agree first. You decide on the result.

Film 01

The film.
Problem · solution · who it is for.