Software-only onboard AI

Stop downlinkingclouds.

Laika runs AI inference on the flight computer your satellites already carry. Filter, classify and prioritise imagery in orbit — no extra hardware, under one watt, deployable over-the-air to satellites already flying.

01 / The problem

Your constellation captures more than your downlink can carry.

Earth Observation operators pay full downlink cost for imagery they will discard — cloud-obscured scenes, redundant frames, areas nobody asked for. The data is filtered after it lands. The transmission has already been paid.

0%

of Earth's surface is covered by clouds at any moment — and most of it gets downlinked anyway.

SRC: GEWEX CLOUD ASSESSMENT, 2013

0k/yr

total downlink cost for a single 3U CubeSat on S-band with six daily ground-station passes.

SRC: GSAAS MARKET PRICING

0k/yr

per satellite, every year, spent transmitting data operators would have filtered out before transmission — if they could.

EST: €25–40K RECOVERABLE / SAT / YEAR

02 / The solution

Intelligence where the data is born.

Laika is a software-only inference layer for the microcontrollers already flying on most small satellites. Scenes are classified in orbit, before transmission — only data worth paying for comes down.

ONBOARD PASS · REAL MODIS IMAGERYlaika-runtime · cloudnet-int8 · 12×12 patch grid
Scenes analysed onboard
0 / 6
Discarded before transmission
0
Downlink budget saved
0%

Patch-level inference as flown in our PoC: 144 patches per scene, 6.5 ms each, 0.93 s per full scene on a sub-watt Cortex-M4. Swap the model via OTA for ship detection, wildfires or change detection — no hardware change.

Imagery: NASA Worldview / GIBS · MODIS Terra true color · classification runs live on these pixels
CAP·01

Zero new hardware

Runs on the OBC your satellites already carry — ARM Cortex-M and A class, down to 128 KB of RAM and under one watt. No accelerator board, no integration campaign, no added mass.

CAP·02

Retrofit in orbit

Models are trained on the ground and pushed via over-the-air update — delta-encoded for narrow satellite links. Every compatible satellite launched in the last five years is a deployment target. Nobody else can touch the installed base.

CAP·03

A model catalog that compounds

Cloud screening today; ship detection, wildfire hotspots, change detection tomorrow — same runtime, different model. Every model built for one customer becomes inventory for the next.

03 / Deployment

From signed pilot to filtering in orbit — in weeks.

Pick the mission model

Start from our catalog — cloud screening first — or have a model tuned to your sensor and orbit, trained on open Copernicus data and your own archive.

Deploy over the air

The Laika runtime and model install on your existing flight computer — bench-validated on your OBC image first, then delta-uploaded to satellites on the ground or already in orbit.

Downlink only value

Each scene is scored onboard against your thresholds. Cloudy and redundant frames never touch the radio. €25–40k recovered per satellite per year — or the same budget turned into revenue-bearing capacity.

04 / The alternative

The market sells you a box. We ship you software.

Onboard AI today means dedicated accelerator hardware — capable, but expensive, power-hungry, and structurally unable to reach satellites that are already flying.

AI accelerator hardwareLaika · software-only
Additional hardware cost per satellite€25,000 – €100,000+€0 — uses the existing OBC
Power envelope3 – 15 W< 1 W
Integration timelineMonths of HW + SW qualification1 – 3 months, software only
Satellites already in orbitCannot be upgradedRetrofit via OTA update
Marginal cost per added satelliteA new hardware unit, every timeNear zero — a software licence
New use case mid-missionLocked at mission designNew model pushed in flight

HARDWARE FIGURES: PUBLISHED RANGES FOR VPU / DPU / GPU-CLASS ONBOARD AI PAYLOADS IN THE EUROPEAN SMALL-SAT MARKET. A 10-SATELLITE CONSTELLATION RUNNING LAIKA FOR DOWNLINK FILTERING RECOVERS AN ESTIMATED €250–400K PER YEAR.

05 / Proof, not promises

Already running on flight-representative silicon.

laika-runtime — proof of concept · serial 115200

END-TO-END CLOUD DETECTION · 95-CLOUD DATASET (LANDSAT-8) · TFLITE MICRO + INT8 POST-TRAINING QUANTISATION · STM32 NUCLEO-L476RG. ROADMAP: RADIATION-TOLERANT ARM AND LEON FLIGHT PROCESSORS.

10.8 KB
INT8 model — 9.2× smaller than the FP32 baseline
6.5 ms
per 16×16 patch — 144 patches, 0.93 s per full scene
~84%
cloud-detection accuracy on a balanced dataset
0.1%
accuracy lost going FP32 → INT8 — quantisation is near-free
128 KB
total RAM on the target — smaller than this web page
<1 W
power draw — versus 3–15 W for accelerator hardware
2026 pilot cohortlimited slots

We're selecting a handful of operators to fly Laika first.

The pilot is software-only: no hardware commitment, no launch dependency, evaluated on your own OBC image. Pilot partners shape the model catalog and lock preferential licensing before general availability.

What pilot partners get

  • Bench validation on your OBC image — see inference running against your sensor data before anything flies.
  • A model tuned to your mission — cloud screening first, or the use case that hurts your downlink most.
  • OTA deployment path to satellites on the ground or already in orbit — weeks, not an integration campaign.
  • Preferential licensing locked for your whole constellation before general availability pricing.
  • Direct line to the founding team — your constraints become the product roadmap.

Evaluations are sequential and engineering-led — cohort closes when slots fill.

No commitment. Technical conversation first — NDA on request. By requesting access you agree to our Privacy Policy.