Space situational intelligence. 

Access high TRL AI tools via API

Intelligence Services

Trillium’s mature intelligence products are available as analysis ready data (ARD), model weights, embeddings and APIs for evaluation and integration, hosted and served from our SpaceML cloud Isidore.

If you would like to develop or integrate any of these capabilities into your stack, please book a conversation with our development team at team@trillium.tech or point your LLM at the landing page to spin-up services automatically.

Solar Analyst

Lunar Analyst

Earth Analyst

Earth Engine MCP

EVE MCP

Agentic AI for situational intelligence

Burn Scar and fire intensity 

Change Detection from orbit (RAVAEN)

Disaster Damage Assessment

Active Solar Regions 

Thermospheric Density Nowcast

SuNERF: 3D Sun 

Repairing MEGS-A

Ionosphere-Thermosphere digital twin

RadCast

Lightning Flash Rate

X-RayCAST

Cloud Tomography

Geoeffectiveness (GeoCloak)

Forecasting PyroCb Clouds

SDOML-lite

FloodMapper

Greenhouse Gas emissions

Irradiance on Mars (SPI3S)

Global Cloud Classifier 

GNSS Disruption

CME Detection

ThermoCast

PlumeHunter

SDOMLv2

Informal Settlements

Solar Wind Sructure

🔧 Instrument Translation

🔧 Self-Supervised Learner

🔧 Swipe label tool 

🔧 Sat Rasterizer

🔧 Rapid Sat Downloader

Embedding Orchestration

Surya Applications

Lunar-FM

SDO-FM

SAR-FM

SHRUG-FM
Epistemic Humility

World Food Embeddings

Multi-Modal, Multi-Label EO

See how SpaceML’s Intelligence Products can be orchestrated for space situational intelligence:

SCAN Featured Case Studies

Isidore - developing AI to understand our solar system

ISIDORE is supported by our partners

About SpaceML

SpaceML can be thought of as a toolbox to help the AI community make our next giant leap...

By building the Machine Learning (ML) infrastructure needed to streamline and super-charge the intelligent applications, automation and robotics needed to explore deep space and better manage our planetary spaceship for mutual benefit.

SpaceML: Distributed Open-source Research with Citizen Scientists for the Advancement of Space Technology for NASA [arXiv.org:2012.10610]

Find here the Data Policy for Space ML here