Spaceflux operates a global network of 70 cm optical telescopes equipped with short‑wave infrared sensors to provide continuous, day‑and‑night optical tracking of objects from low Earth orbit to geostationary and cislunar space. Its AI‑driven Cortex platform processes raw imagery and delivers sub‑arcsecond positional data and trajectory predictions for objects as small as 2.5 cm in LEO within about 90 seconds, enabling real‑time situational awareness for satellite operators and defence agencies.
Funding
$7.3M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
2OFGUIFounders
Product
Problem
Governments and satellite operators lack continuous, high‑resolution optical tracking of objects across all orbital regimes, especially for small debris and low‑earth‑orbit assets, limiting timely situational awareness and collision avoidance.
Solution
Spaceflux operates a proprietary global network of 70 cm‑class optical telescopes equipped with short‑wave infrared (SWIR) sensors to monitor objects from low Earth orbit through geostationary and cislunar space. The AI‑driven Cortex platform ingests raw imagery, applies machine‑learning algorithms for detection, classification, and orbit prediction, and delivers processed data to customers within seconds. By providing multi‑site, redundant observations, the system ensures continuous coverage and sub‑arcsecond positional accuracy for objects as small as 2.5 cm in LEO and 10 cm in GEO. The rapid data turnaround supports real‑time alerts, anomaly detection, and proactive asset protection for sovereign space‑domain‑awareness programs.
Target Audience
Primary customers are national defence agencies, space‑security ministries, and commercial satellite operators that require sovereign, real‑time space‑domain awareness for collision avoidance and asset protection.
Features
- 70 cm‑class telescopes with SWIR cameras delivering day‑and‑night optical surveillance across five continents
- AI‑powered Cortex platform that detects, characterises, and predicts trajectories of objects as small as 2.5 cm (LEO) and 10 cm (GEO) with sub‑arcsecond accuracy
- Redundant multi‑site observations providing several daily passes per object and eliminating single‑point‑of‑failure risks
- End‑to‑end data pipeline that processes raw images and delivers actionable intelligence within ~90 seconds
- Integration APIs for seamless export of tracking data into existing command‑and‑control or satellite‑operations systems
- Scalable architecture supporting expansion to new ground stations and additional orbital regimes, including cislunar space