Heliastra runs AI inference on the satellite itself — turning terabytes of empty land, sea, and sky into the handful of detections that matter, delivered in minutes, not hours.
Anyone who needs to watch locations on Earth faces the same problem — defence and border agencies, but also energy and infrastructure operators, insurers, environmental and disaster-response teams. Today's tools force a hard trade-off.
Expensive to fly and limited in coverage. Every hour transiting to or loitering over empty terrain is capability that can't be elsewhere.
Delivered through a slow downlink-and-process pipeline. By the time imagery reaches the operator, hours have passed.
EO data must be downlinked before it can be analysed — constrained by high latency and limited bandwidth. Operators then sift vast volumes, most of it empty land, sea, and sky, to find the handful of insights that matter: a vessel approaching a coastline, an illegal logging front, a new wildfire ignition, or unexpected activity at a remote site.
Our solution runs AI inference on the satellite itself, processing EO data in real time and in orbit. Instead of transmitting terabytes of mostly empty terrain, the satellite decides onboard and sends only the actionable intel.
Existing EO analytics demands extensive domain knowledge, keeping the capability locked to a small pool of specialists. Our agentic, natural-language interface collapses that barrier — putting in-orbit intelligence in the hands of any analyst or operator, with minimal training.
Persistent space-based coverage points expensive aircraft, drones, and field teams at the locations that matter — instead of spending limited time and budget searching empty terrain.
Operators task the system and pull insights conversationally, without the deep multi-domain specialism the task usually demands.
Competitors are increasingly vertically integrated, locking customers into their own satellite bus and EO data stack. For any serious operator, that's a liability — the vendor with the best sensing technology changes year to year.
Our inference layer runs across hardware and data providers. You keep the freedom to mix platforms as missions, programs, and budgets shift.
Avoid being tied to a single bus or data stack. As the best sensing technology changes, your intelligence layer stays constant.
A tested pipeline for pushing models to satellites and large models already running on-orbit — delivery competitors can't yet match.
The need to watch the planet at operationally relevant timescales spans sectors. Wherever the answer matters more than the raw data — and wherever it matters now — Heliastra closes the gap.
Organisations with a mandate to monitor locations of interest. Heliastra delivers actionable detections at speed, without flooding analysts with empty frames.
Detect wildfires, deforestation, illegal logging, and changing conditions the moment they appear — not hours later once the imagery has been downlinked and processed.
Persistently watch pipelines, grids, ports, and remote assets across vast areas, surfacing only the anomalies that warrant a closer look.
When minutes matter, get a live read on floods, fires, and damage — and cue scarce aircraft, drones, and field teams to where they are needed most.
Heliastra is ready to brief teams across defence, environment, energy, and emergency response on in-orbit inference, deployment, and integration with existing monitoring programs.
Arrange a Capability Briefing