AIQSAT

AIQSAT project · Solutions

Artificial Intelligence

Models that turn orbital data into decisions

We are developing this capability as part of a secure, intelligent orbital data network for the next generation of connected infrastructure.

Artificial Intelligence

What we are building

AIQSAT builds artificial intelligence for space-grade data: onboard inference, autonomous mission planning and analytics pipelines that turn raw sensor streams into decisions you can act on within minutes.

Onboard inference

Compact models running directly on the spacecraft, so only relevant results are downlinked.

Autonomous operations

Planning and anomaly detection that keep constellations productive without constant ground control.

Earth observation analytics

Detection, classification and change monitoring across optical, radar and multispectral imagery.

The opportunity

Move intelligence and trust closer to the source

Earth-observation and communications satellites generate more data than conventional downlinks can economically return. Valuable events may wait for a ground pass, while bandwidth is spent transporting clouds, duplicates and low-priority scenes. This latency limits the usefulness of space data in time-critical decisions.

AIQSAT is developing an orbital intelligence layer that interprets sensor data where it is created. The aim is to turn satellites from remote data collectors into collaborative systems that can identify relevance, coordinate resources and deliver decision-ready information with less delay.

System architecture

A connected path from orbital signal to trusted decision

The project is designed as a modular system. Each layer can create value independently, while the complete architecture enables a secure, intelligent data network across orbit and Earth.

  1. 1Observe

    Acquire multimodal data

    Optical, radar, radio-frequency and platform telemetry enter a common, time-synchronised processing layer.

  2. 2Understand

    Infer at the edge

    Efficient models detect events, assess quality and attach confidence and provenance before transmission.

  3. 3Coordinate

    Allocate the network

    Mission logic prioritises follow-up observations, compute capacity and the most appropriate downlink path.

  4. 4Deliver

    Send trusted products

    Only relevant data and verifiable insights reach customer systems through secure interfaces.

Strategic value

Built around the needs of future operators

AIQSAT is being shaped for organisations that need resilient infrastructure, faster access to useful information and a security model designed for the quantum era.

Earth intelligence buyers

Faster alerts and smaller, more useful data products for climate, infrastructure, security and disaster-response workflows.

Satellite operators

Higher utilisation of constrained bandwidth and a path toward lower-touch operations across larger fleets.

Payload manufacturers

A reusable intelligence layer that can increase the commercial value of existing and next-generation sensors.

Strategic investors

Exposure to a software-led capability that can be deployed across missions without rebuilding the complete spacecraft.

Development path

A staged route from validation to deployment

The roadmap is structured to retire technical risk early, prove interoperability and create clear decision points for partners and capital providers.

Validation

Models and mission scenarios

Validate priority use cases on representative sensor data and define measurable mission-level success criteria.

Integration

Flight-like compute demonstrator

Integrate compressed models, fault handling and secure updates on representative low-power hardware.

Demonstration

In-orbit validation

Test inference, event prioritisation and ground delivery under real radiation, thermal and link constraints.

Scale

Fleet intelligence services

Extend the platform to multiple payloads and coordinated spacecraft with recurring software and data services.

Investment case

An infrastructure opportunity at the intersection of three markets

The project combines differentiated engineering, reusable intellectual property and a platform approach intended to support multiple missions, customers and commercial models.

Reusable software IP

Model optimisation, mission orchestration and assurance tooling are designed to transfer across payloads and orbital platforms.

Compounding data advantage

Every validated mission can improve models, operational knowledge and integration speed for the next deployment.

Multiple revenue paths

Potential models include integration programmes, licensed onboard software, managed operations and recurring data products.

Build the next layer with us

A more efficient, resilient and secure future for orbital data.

We are looking to engage mission owners, strategic buyers, payload partners and investors who want to help validate and scale autonomous orbital intelligence.

Discuss Artificial Intelligence