Space Needs

A Credit Score.

Our ASRI index turns complex orbital data into a clear, actionable risk score for every major space operator.

36,000+
Trackable Objects
900,000+
Smaller Fragments
$1T+
Assets at Risk

Intelligence for a Safer Orbit

AstroSweepers is a software-first platform that provides real-time tracking, AI-driven risk assessment, and actionable collision avoidance strategies.

Key Features & Benefits

Subscription Dashboard

Interactive maps, real-time risk alerts, and in-depth analytics at your fingertips.

API Access

Integrate our powerful debris data directly into your existing mission control platforms.

AI-Powered Predictions

Our ML models analyze trajectories to predict collision probabilities with unparalleled accuracy.

Custom Simulations (DAS)

Run custom debris scenarios and clean-up simulations for research, planning, and insurance.

AI & ML Roadmap

From a DAS-aligned MVP today to a fully ML-powered orbital safety platform.

"Built on NASA data. Scaled by AI."

Live Today

Live Today: ML-Scored Risk Index

We already deploy our first ML model to help score and cluster debris risk, powering the Astro Sweepers Risk Index (ASRI) for missions and orbits.

In Development

Physics-Informed Lifetime Models

Next, we train neural nets that learn orbital dynamics and drag under changing solar cycles, improving re-entry and lifetime predictions beyond simple rule-based DAS checks.

Future Vision

Conjunction Prediction GNNs

Graph neural networks on conjunction data will anticipate multi-body interactions and cascade risks, supporting smarter collision-avoidance and tasking of future sweepers.

Future Vision

Material & Mass Vision Lab

Computer-vision models on radar/optical data classify size, mass and material, enabling better salvage targeting, casualty risk modelling and in-orbit recycling decisions.

Future Vision

Insurance & Pricing AI Engine

Using ASRI scores and mission parameters, our models will estimate claim likelihoods and suggest dynamic premiums—plugged directly into our "Insurer License" tier.

Future Vision

Debris Removal Robotics (RL)

Reinforcement-learning agents will control small sweepers for capture and deorbit, optimising fuel, approach angle and safety—core to our Phase-2 hardware vision.

In Development

SPARK-Native Data & Feature Pipeline

A scalable pipeline built on NASA SPARK, TLEs and CDMs keeps models updated as new missions launch, so every additional dataset makes the platform smarter.

In Development

Human-in-the-Loop Transparency

Operators and regulators can inspect model inputs, override recommendations and feed back outcomes, keeping AI explainable and audit-ready for safety-critical use.

Future Vision

Responsible & Open Science Partnerships

We plan collaborations with agencies, universities and insurers to co-publish benchmarks, open non-sensitive datasets and validate models against real-world events.