Alythia ALYTHIA

We provide decision intelligence by fusing satellite and ground data.

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Why Alythia

Every day, satellites send down terabytes of available Earth data. Very little of it reaches people as intelligence to help them make decisions.

Looking is available. Knowing where to look is not.

A satellite sees what changed. Your ground data sees where it changed. Your business intelligence data knows why it matters. Fused, it’s a decision.

Our story

What we do

Three pillars. One way of reading the planet.

Each runs the same loop: baseline, detect, cross-check, act. Applied where a wrong call is expensive.

01Thermal · Optical

Operational efficiency

How your plants and sites actually run, read independently from orbit.

02Radar · Optical

Asset security

What changed around your critical assets, day or night, through cloud.

03Atmospheric · Thermal

Environmental compliance

Emissions, land use and discharges, measured against what is disclosed.

Foundational layer · under every pillar

Authenticity check

Checks that the imagery and data behind every read are genuine, not spoofed or tampered with.

Prototype

Illustrative scenes, not client data

01 · Orbit

Satellite data, fusion.

Multi-variable sensors, combined into one continuous picture of the assets and land you care about.

02 · Operational efficiency

Throughput you can see from space.

Downtime and capacity utilisation, crop intelligence, monitored independently.

03 · Asset security

Every asset. Every change.

Site-change analysis around critical infrastructure, day or night, through cloud.

04 · Environmental compliance

What disclosure conceals, satellites reveal.

Monitoring for compliance with environmental regulations.

Solutions

The pillars, in detail.

Operational efficiency

Monitor the operational efficiency of your crops and sites.

● LIVE

CROP INTELLIGENCE

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PROTOTYPE

PLANT & FACILITIES EFFICIENCY

BOOK A DEMO
ROADMAP

SOLAR POWER EFFICIENCY

Asset security

Keep an eye on assets including true image checker with our anti spoofing tech.

PROTOTYPE

SITE MONITORING

including alert to drone survey

BOOK A DEMO
ROADMAP

GROUND SUBSIDENCE

ROADMAP

MARITIME ACTIVITY

Environmental compliance

Independent satellite monitoring of emissions, land use and discharges, measured against what is disclosed.

PROTOTYPE

EMISSIONS

BOOK A DEMO
ROADMAP

LAND USE CHANGE

ROADMAP

ENVIRONMENTAL DISCHARGE

Alythia

Compliance verification · what disclosure conceals, satellites reveal
TROPOMI · XCH₄TROPOMI · NO₂ / COVIIRS · NightfireERA5 · wind
— — Operator — — AOI — Last fused: —
Watch
—
—

What the satellites are telling us

—
—
Two signals, four outcomes:
  • Lit flare + low methane → operational, combusting efficiently.
  • Lit flare + high methane → operational, poor combustion.
  • No flare + high methane → venting, leak, or unlit flare. ← current
  • No flare + no methane → site appears inactive.
Inputs: VIIRS Nightfire (flare) and TROPOMI XCH₄ (methane column).
—
—
—
NO₂ and CO are combustion co-pollutants retrieved by TROPOMI alongside methane. In principle they help disambiguate the methane signal:
  • NO₂↑ + CO↑ → active combustion, broad activity.
  • NO₂↑ + CO normal → lean (high-temp) combustion.
  • NO₂ normal + CO↑ → incomplete / low-temp combustion.
For this demo we report the measured column values only. Calling a value “elevated” needs a calibrated per-site baseline we don’t have yet, so we don’t — inventing one would breach our own honesty rule. Basin snapshots carry no NO₂/CO and show N/A.
—
—
The metric is methane concentration excess, not intensity, and the comparison is observation vs a reference — not vs an operator disclosure (we have none yet):
  • Facility — site CH₄ vs local background: (site − background) / background × 100%.
  • Basin — target-region CH₄ vs a clean reference region: (target − reference) / reference × 100%.
Facility (vs local background) and basin (vs clean reference) are different methods — don’t read −0.1%, +0.6% and +2.4% as one ranked scale. Operator-reported / disclosure baselines are a separate future workstream and are not shown.
Trajectory & decision

What it has been doing, and what to do next

observed methane column · ppb
Trajectoryrolling 12-month observed column · gaps = no cloud-free retrieval
Projection horizon
Observed (satellite) Projection · illustrative status-quo extrapolation Uncertainty band (scenario, not a prediction) Background · measured clean reference Excess above background
Latest observed—most recent cloud-free month
% by
Default: −30% by 2030 · Global Methane Pledge. Goal line set by user · not an operator disclosure.
AI actionsagent-surfaced
Abatement levers · illustrative scenario
agent-surfaced · illustrative scenario. Toggling a lever bends the projection's excess above background downward by its efficacy — it does not change the observed record.
No levers active · status-quo
Investigate now · verify severity
—

Reference / benchmark sites built from public satellite data — not any operator’s private assets. Interpretation logic and reconciliation rules follow the Alythia workflow. Drone example output: Alythia photogrammetry pipeline (DJI Neo · 4.56 M-point cloud).

Alythia

Compliance verification · what disclosure conceals, satellites reveal
TROPOMI · XCH₄TROPOMI · NO₂ / COVIIRS · NightfireERA5 · wind
— — Operator — — AOI — Last fused: —
Watch
—
—

What the satellites are telling us

—
—
Two signals, four outcomes:
  • Lit flare + low methane → operational, combusting efficiently.
  • Lit flare + high methane → operational, poor combustion.
  • No flare + high methane → venting, leak, or unlit flare. ← current
  • No flare + no methane → site appears inactive.
Inputs: VIIRS Nightfire (flare) and TROPOMI XCH₄ (methane column).
—
—
—
NO₂ and CO are combustion co-pollutants retrieved by TROPOMI alongside methane. In principle they help disambiguate the methane signal:
  • NO₂↑ + CO↑ → active combustion, broad activity.
  • NO₂↑ + CO normal → lean (high-temp) combustion.
  • NO₂ normal + CO↑ → incomplete / low-temp combustion.
For this demo we report the measured column values only. Calling a value “elevated” needs a calibrated per-site baseline we don’t have yet, so we don’t — inventing one would breach our own honesty rule. Basin snapshots carry no NO₂/CO and show N/A.
—
—
The metric is methane concentration excess, not intensity, and the comparison is observation vs a reference — not vs an operator disclosure (we have none yet):
  • Facility — site CH₄ vs local background: (site − background) / background × 100%.
  • Basin — target-region CH₄ vs a clean reference region: (target − reference) / reference × 100%.
Facility (vs local background) and basin (vs clean reference) are different methods — don’t read −0.1%, +0.6% and +2.4% as one ranked scale. Operator-reported / disclosure baselines are a separate future workstream and are not shown.
Trajectory & decision

What it has been doing, and what to do next

observed methane column · ppb
Trajectoryrolling 12-month observed column · gaps = no cloud-free retrieval
Projection horizon
Observed (satellite) Projection · illustrative status-quo extrapolation Uncertainty band (scenario, not a prediction) Background · measured clean reference Excess above background
Latest observed—most recent cloud-free month
% by
Default: −30% by 2030 · Global Methane Pledge. Goal line set by user · not an operator disclosure.
AI actionsagent-surfaced
Abatement levers · illustrative scenario
agent-surfaced · illustrative scenario. Toggling a lever bends the projection's excess above background downward by its efficacy — it does not change the observed record.
No levers active · status-quo
Investigate now · verify severity
—

Reference / benchmark sites built from public satellite data — not any operator’s private assets. Interpretation logic and reconciliation rules follow the Alythia workflow. Drone example output: Alythia photogrammetry pipeline (DJI Neo · 4.56 M-point cloud).