Blackshark.ai
Turns global satellite imagery into structured world models and operational 3D environments — planet-scale AI object detection (ORCA HUNTR) and a synthetic 3D replica of Earth (SYNTH3D).
Latest event found: 26 Sep 2026 · 21 days ago
Vitality Radar
Pillar Analysis
Strategic Assessment
Strategic Vector
Blackshark.ai is moving from geospatial AI and 3D Earth reconstruction toward a broader planet-scale infrastructure platform serving defense simulation, mission systems, enterprise analytics, and government users. Recent hiring and product positioning indicate continued expansion, with access currently limited to selected partners, government organizations, and enterprise customers.
Efficiency Ratio
The company appears to convert a relatively compact 51–200-person organization into substantial technical output across planetary-scale geospatial processing, 3D reconstruction, simulation, and defense applications, although public evidence is insufficient to quantify revenue efficiency.
Evidence Signals
The company website indicated active hiring across engineering, product, deployment, and operations, with five vacancies also observed in September 2026.
Blackshark.ai stated that it had shipped a planetary-scale simulation platform with Lockheed Martin using Unreal Engine.
A senior solutions-engineering role described customer deployment and expansion of Blackshark.ai in operational simulation and mission systems.
- About
- Graz software company, 51 to 200 staff, three locations. Registered as Blackshark.ai GmbH, FN 533266S at Landesgericht Graz, UID ATU75677304. It positions itself as AI infrastructure for the physical world, transforming global imagery into structured world models and operational 3D environments. TWO PRODUCTS. ORCA HUNTR is a no-code environment letting a user train, test and exploit AI/ML-powered object detection and classification across varied scenarios. SYNTH3D is a synthetic, realistic 3D replica of the planet's surface with semantic information derived from 2D satellite and aerial imagery — terrain elevation, buildings, vegetation coverage and infrastructure — streamed from company servers and rendered at runtime, covering every country and city in a region-specific, geo-typical way. SCALE. The company cites over 100 TB of daily input imagery against a human review capacity below 1%, and a reference deployment on a cluster of 100 NVIDIA H100 GPUs processing 7 million km2 per day, analysing trillions of pixels and extracting 100 million infrastructure objects. AVIATION RELEVANCE. A showcase use case is mapping vertical obstructions for flight safety. Stated specialities include autonomous flying, flight simulation, aerospace and defence, wireless signal propagation, earth observation, GIS and location intelligence. The company's own enquiry form segments prospects into government, defence, simulation and enterprise.
- Relevancy
- Graz company turning satellite imagery into 3D models of the entire planet, processing 7 million square kilometres a day. Its mapping of vertical obstructions for flight safety is exactly the obstacle data low-flying drones need, and it sells into government, defence and simulation buyers.
- Tags
- #GEOINT #objectdetection #digitaltwin #SYNTH3D #ORCAHUNTR #syntheticenvironments #flightsimulation #verticalobstruction #earthobservation #H100