Universal Geospatial Intelligence. Powered by GPU-Native Infrastructure.. Real-time results. Fully sovereign.
Deployed where it matters.
“A force multiplier - custom AI in minutes.”
U.S. Gov Geospatial Analyst
1962
AI models built by analysts
1962
AI models built by analysts
1962
AI models built by analysts
32
Minutes Average Training Time
32
Minutes Average Training Time
32
Minutes Average Training Time
780
Years Training Time Saved
780
Years Training Time Saved
780
Years Training Time Saved
7.3
Trillion Pixels processed
7.3
Trillion Pixels processed
7.3
Trillion Pixels processed
/ VISUAL EARTH OPERATING SYSTEM
/ VISUAL EARTH OPERATING SYSTEM
/ VISUAL EARTH OPERATING SYSTEM
Who is it built for?
Whether you need to extract insights from pixels — or simulate the world they represent — VEOS delivers.
- Train custom detection models in minutes - Extract features across any imagery - Classify, monitor, and map with mission precision - Deploy into existing GIS and sovereign workflows
- Train custom detection models in minutes - Extract features across any imagery - Classify, monitor, and map with mission precision - Deploy into existing GIS and sovereign workflows
- Train custom detection models in minutes - Extract features across any imagery - Classify, monitor, and map with mission precision - Deploy into existing GIS and sovereign workflows
- Reconstruct 3D terrain from detection results - Generate Unreal-ready environments at scale - Power visual sensor testbeds and synthetic training - Procedurally enrich any geospatial source
- Reconstruct 3D terrain from detection results - Generate Unreal-ready environments at scale - Power visual sensor testbeds and synthetic training - Procedurally enrich any geospatial source
- Reconstruct 3D terrain from detection results - Generate Unreal-ready environments at scale - Power visual sensor testbeds and synthetic training - Procedurally enrich any geospatial source
INGEST
TRAIN
DETECT
RECONSTRUCT 3D
EXPORT
Ingest Any Imagery or Sensor Source at Scale
Handle multi-resolution raster, LIDAR, or DSM—from orbital, aerial, or tactical edge systems.
Batch importing and processing of Peta & Terabyte sized repositories.
For Analysts: Import NITF, STAC-indexed COG, or multispectral ISR for rapid classification and mission annotation.
For Simulation Teams: Fuse raster + elevation layers to prepare height-rich terrain basemaps for downstream 3D procedural workflows.
INGEST
TRAIN
DETECT
RECONSTRUCT 3D
EXPORT
Ingest Any Imagery at Any Scale
From raw satellite tiles to tactical drone passes, VEOS ingests and aligns all spatial raster data, with no preprocessing required.
For Analysts: ingest NITF, COG, or STAC-indexed mission imagery for detection or change analysis
For Simulation: fuse LIDAR, DSM, and raster into a unified 3D-ready ingestion pipeline.
INGEST
TRAIN
DETECT
RECONSTRUCT 3D
EXPORT
Ingest Any Imagery at Any Scale
From raw satellite tiles to tactical drone passes, VEOS ingests and aligns all spatial raster data, with no preprocessing required.
For Analysts: ingest NITF, COG, or STAC-indexed mission imagery for detection or change analysis
For Simulation: fuse LIDAR, DSM, and raster into a unified 3D-ready ingestion pipeline.
Trusted by leaders in Defense, Infrastructure & Autonomy
Building Damage Assessment After the LA Wildfire
Model trained in under 4 hours to detect structure-level fire damage. Outputs zone-based polygons for triage, claims, and reconstruction.
High-Granularity Solar Panel Detection from Aerial Imagery
Model detects and measures individual panel surfaces over time—down to sub-object zones. Outputs geometry with real-world dimensions-
Multichannel 3D reconstruction for Sensor Simulation (AUTONOMY)
REPLIKA™ features physics-based rendering, multi-layer materials, fully customizable and rendered in Unreal Engine 5
Automated Wildfire Risk Zoning from Aerial Imagery
REVEAL™ detects vegetation and structures, applies defensible space buffers, and quantifies per-property wildfire risk—at scale, and ready for underwriting.
SPARE INPUT 3D AIRPORT RECONSTRUCTION
REPLIKA™ generates any airport everywhere with limited input data.
Optimized for 120hz interactive rendering in Unreal Engine 5
Rooftop Damage Mapping & Temporal Assessment
Model detects and monitors damage at zone-level granularity.
Burnt Vegetation Detection Using Temporal AI Models
REVEAL™ detects and quantifies vegetation loss over time by comparing imagery across years—enabling rapid wildfire impact mapping at scale.
Location Denied 3D reconstruction
REPLIKA™ supports digesting off-nadir/on-nadir imagery and optional DSM conflation for accurate and realistic reconstruction of any site on the planet.
Building Damage Assessment After the LA Wildfire
Model trained in under 4 hours to detect structure-level fire damage. Outputs zone-based polygons for triage, claims, and reconstruction.
High-Granularity Solar Panel Detection from Aerial Imagery
Model detects and measures individual panel surfaces over time—down to sub-object zones. Outputs geometry with real-world dimensions-
Multichannel 3D reconstruction for Sensor Simulation (AUTONOMY)
REPLIKA™ features physics-based rendering, multi-layer materials, fully customizable and rendered in Unreal Engine 5
Automated Wildfire Risk Zoning from Aerial Imagery
REVEAL™ detects vegetation and structures, applies defensible space buffers, and quantifies per-property wildfire risk—at scale, and ready for underwriting.
SPARE INPUT 3D AIRPORT RECONSTRUCTION
REPLIKA™ generates any airport everywhere with limited input data.
Optimized for 120hz interactive rendering in Unreal Engine 5Rooftop Damage Mapping & Temporal Assessment
Model detects and monitors damage at zone-level granularity.
Burnt Vegetation Detection Using Temporal AI Models
REVEAL™ detects and quantifies vegetation loss over time by comparing imagery across years—enabling rapid wildfire impact mapping at scale.
Location Denied 3D reconstruction
REPLIKA™ supports digesting off-nadir/on-nadir imagery and optional DSM conflation for accurate and realistic reconstruction of any site on the planet.
Building Damage Assessment After the LA Wildfire
Model trained in under 4 hours to detect structure-level fire damage. Outputs zone-based polygons for triage, claims, and reconstruction.
High-Granularity Solar Panel Detection from Aerial Imagery
Model detects and measures individual panel surfaces over time—down to sub-object zones. Outputs geometry with real-world dimensions-
Multichannel 3D reconstruction for Sensor Simulation (AUTONOMY)
REPLIKA™ features physics-based rendering, multi-layer materials, fully customizable and rendered in Unreal Engine 5
Automated Wildfire Risk Zoning from Aerial Imagery
REVEAL™ detects vegetation and structures, applies defensible space buffers, and quantifies per-property wildfire risk—at scale, and ready for underwriting.
SPARE INPUT 3D AIRPORT RECONSTRUCTION
REPLIKA™ generates any airport everywhere with limited input data.
Optimized for 120hz interactive rendering in Unreal Engine 5Rooftop Damage Mapping & Temporal Assessment
Model detects and monitors damage at zone-level granularity.
Burnt Vegetation Detection Using Temporal AI Models
REVEAL™ detects and quantifies vegetation loss over time by comparing imagery across years—enabling rapid wildfire impact mapping at scale.
Location Denied 3D reconstruction
REPLIKA™ supports digesting off-nadir/on-nadir imagery and optional DSM conflation for accurate and realistic reconstruction of any site on the planet.
Building Damage Assessment After the LA Wildfire
Model trained in under 4 hours to detect structure-level fire damage. Outputs zone-based polygons for triage, claims, and reconstruction.
High-Granularity Solar Panel Detection from Aerial Imagery
Model detects and measures individual panel surfaces over time—down to sub-object zones. Outputs geometry with real-world dimensions-
Multichannel 3D reconstruction for Sensor Simulation (AUTONOMY)
REPLIKA™ features physics-based rendering, multi-layer materials, fully customizable and rendered in Unreal Engine 5
Automated Wildfire Risk Zoning from Aerial Imagery
REVEAL™ detects vegetation and structures, applies defensible space buffers, and quantifies per-property wildfire risk—at scale, and ready for underwriting.
SPARE INPUT 3D AIRPORT RECONSTRUCTION
REPLIKA™ generates any airport everywhere with limited input data.
Optimized for 120hz interactive rendering in Unreal Engine 5Rooftop Damage Mapping & Temporal Assessment
Model detects and monitors damage at zone-level granularity.
Burnt Vegetation Detection Using Temporal AI Models
REVEAL™ detects and quantifies vegetation loss over time by comparing imagery across years—enabling rapid wildfire impact mapping at scale.
Location Denied 3D reconstruction
REPLIKA™ supports digesting off-nadir/on-nadir imagery and optional DSM conflation for accurate and realistic reconstruction of any site on the planet.
Building Damage Assessment After the LA Wildfire
Model trained in under 4 hours to detect structure-level fire damage. Outputs zone-based polygons for triage, claims, and reconstruction.
High-Granularity Solar Panel Detection from Aerial Imagery
Model detects and measures individual panel surfaces over time—down to sub-object zones. Outputs geometry with real-world dimensions-
Multichannel 3D reconstruction for Sensor Simulation (AUTONOMY)
REPLIKA™ features physics-based rendering, multi-layer materials, fully customizable and rendered in Unreal Engine 5
Automated Wildfire Risk Zoning from Aerial Imagery
REVEAL™ detects vegetation and structures, applies defensible space buffers, and quantifies per-property wildfire risk—at scale, and ready for underwriting.
SPARE INPUT 3D AIRPORT RECONSTRUCTION
REPLIKA™ generates any airport everywhere with limited input data.
Optimized for 120hz interactive rendering in Unreal Engine 5Rooftop Damage Mapping & Temporal Assessment
Model detects and monitors damage at zone-level granularity.
Burnt Vegetation Detection Using Temporal AI Models
REVEAL™ detects and quantifies vegetation loss over time by comparing imagery across years—enabling rapid wildfire impact mapping at scale.
Location Denied 3D reconstruction
REPLIKA™ supports digesting off-nadir/on-nadir imagery and optional DSM conflation for accurate and realistic reconstruction of any site on the planet.
Building Damage Assessment After the LA Wildfire
Model trained in under 4 hours to detect structure-level fire damage. Outputs zone-based polygons for triage, claims, and reconstruction.
High-Granularity Solar Panel Detection from Aerial Imagery
Model detects and measures individual panel surfaces over time—down to sub-object zones. Outputs geometry with real-world dimensions-
Multichannel 3D reconstruction for Sensor Simulation (AUTONOMY)
REPLIKA™ features physics-based rendering, multi-layer materials, fully customizable and rendered in Unreal Engine 5
Automated Wildfire Risk Zoning from Aerial Imagery
REVEAL™ detects vegetation and structures, applies defensible space buffers, and quantifies per-property wildfire risk—at scale, and ready for underwriting.
SPARE INPUT 3D AIRPORT RECONSTRUCTION
REPLIKA™ generates any airport everywhere with limited input data.
Optimized for 120hz interactive rendering in Unreal Engine 5Rooftop Damage Mapping & Temporal Assessment
Model detects and monitors damage at zone-level granularity.
Burnt Vegetation Detection Using Temporal AI Models
REVEAL™ detects and quantifies vegetation loss over time by comparing imagery across years—enabling rapid wildfire impact mapping at scale.
Location Denied 3D reconstruction
REPLIKA™ supports digesting off-nadir/on-nadir imagery and optional DSM conflation for accurate and realistic reconstruction of any site on the planet.
Building Damage Assessment After the LA Wildfire
Model trained in under 4 hours to detect structure-level fire damage. Outputs zone-based polygons for triage, claims, and reconstruction.
High-Granularity Solar Panel Detection from Aerial Imagery
Model detects and measures individual panel surfaces over time—down to sub-object zones. Outputs geometry with real-world dimensions-
Multichannel 3D reconstruction for Sensor Simulation (AUTONOMY)
REPLIKA™ features physics-based rendering, multi-layer materials, fully customizable and rendered in Unreal Engine 5
Automated Wildfire Risk Zoning from Aerial Imagery
REVEAL™ detects vegetation and structures, applies defensible space buffers, and quantifies per-property wildfire risk—at scale, and ready for underwriting.
SPARE INPUT 3D AIRPORT RECONSTRUCTION
REPLIKA™ generates any airport everywhere with limited input data.
Optimized for 120hz interactive rendering in Unreal Engine 5Rooftop Damage Mapping & Temporal Assessment
Model detects and monitors damage at zone-level granularity.
Burnt Vegetation Detection Using Temporal AI Models
REVEAL™ detects and quantifies vegetation loss over time by comparing imagery across years—enabling rapid wildfire impact mapping at scale.
Location Denied 3D reconstruction
REPLIKA™ supports digesting off-nadir/on-nadir imagery and optional DSM conflation for accurate and realistic reconstruction of any site on the planet.
Building Damage Assessment After the LA Wildfire
Model trained in under 4 hours to detect structure-level fire damage. Outputs zone-based polygons for triage, claims, and reconstruction.
High-Granularity Solar Panel Detection from Aerial Imagery
Model detects and measures individual panel surfaces over time—down to sub-object zones. Outputs geometry with real-world dimensions-
Multichannel 3D reconstruction for Sensor Simulation (AUTONOMY)
REPLIKA™ features physics-based rendering, multi-layer materials, fully customizable and rendered in Unreal Engine 5
Automated Wildfire Risk Zoning from Aerial Imagery
REVEAL™ detects vegetation and structures, applies defensible space buffers, and quantifies per-property wildfire risk—at scale, and ready for underwriting.
SPARE INPUT 3D AIRPORT RECONSTRUCTION
REPLIKA™ generates any airport everywhere with limited input data.
Optimized for 120hz interactive rendering in Unreal Engine 5Rooftop Damage Mapping & Temporal Assessment
Model detects and monitors damage at zone-level granularity.
Burnt Vegetation Detection Using Temporal AI Models
REVEAL™ detects and quantifies vegetation loss over time by comparing imagery across years—enabling rapid wildfire impact mapping at scale.
Location Denied 3D reconstruction
REPLIKA™ supports digesting off-nadir/on-nadir imagery and optional DSM conflation for accurate and realistic reconstruction of any site on the planet.
Building Damage Assessment After the LA Wildfire
Model trained in under 4 hours to detect structure-level fire damage. Outputs zone-based polygons for triage, claims, and reconstruction.
High-Granularity Solar Panel Detection from Aerial Imagery
Model detects and measures individual panel surfaces over time—down to sub-object zones. Outputs geometry with real-world dimensions-
Multichannel 3D reconstruction for Sensor Simulation (AUTONOMY)
REPLIKA™ features physics-based rendering, multi-layer materials, fully customizable and rendered in Unreal Engine 5
Automated Wildfire Risk Zoning from Aerial Imagery
REVEAL™ detects vegetation and structures, applies defensible space buffers, and quantifies per-property wildfire risk—at scale, and ready for underwriting.
SPARE INPUT 3D AIRPORT RECONSTRUCTION
REPLIKA™ generates any airport everywhere with limited input data.
Optimized for 120hz interactive rendering in Unreal Engine 5Rooftop Damage Mapping & Temporal Assessment
Model detects and monitors damage at zone-level granularity.
Burnt Vegetation Detection Using Temporal AI Models
REVEAL™ detects and quantifies vegetation loss over time by comparing imagery across years—enabling rapid wildfire impact mapping at scale.
Location Denied 3D reconstruction
REPLIKA™ supports digesting off-nadir/on-nadir imagery and optional DSM conflation for accurate and realistic reconstruction of any site on the planet.
Building Damage Assessment After the LA Wildfire
Model trained in under 4 hours to detect structure-level fire damage. Outputs zone-based polygons for triage, claims, and reconstruction.
High-Granularity Solar Panel Detection from Aerial Imagery
Model detects and measures individual panel surfaces over time—down to sub-object zones. Outputs geometry with real-world dimensions-
Multichannel 3D reconstruction for Sensor Simulation (AUTONOMY)
REPLIKA™ features physics-based rendering, multi-layer materials, fully customizable and rendered in Unreal Engine 5
Automated Wildfire Risk Zoning from Aerial Imagery
REVEAL™ detects vegetation and structures, applies defensible space buffers, and quantifies per-property wildfire risk—at scale, and ready for underwriting.
SPARE INPUT 3D AIRPORT RECONSTRUCTION
REPLIKA™ generates any airport everywhere with limited input data.
Optimized for 120hz interactive rendering in Unreal Engine 5Rooftop Damage Mapping & Temporal Assessment
Model detects and monitors damage at zone-level granularity.
Burnt Vegetation Detection Using Temporal AI Models
REVEAL™ detects and quantifies vegetation loss over time by comparing imagery across years—enabling rapid wildfire impact mapping at scale.
Location Denied 3D reconstruction
REPLIKA™ supports digesting off-nadir/on-nadir imagery and optional DSM conflation for accurate and realistic reconstruction of any site on the planet.
Building Damage Assessment After the LA Wildfire
Model trained in under 4 hours to detect structure-level fire damage. Outputs zone-based polygons for triage, claims, and reconstruction.
High-Granularity Solar Panel Detection from Aerial Imagery
Model detects and measures individual panel surfaces over time—down to sub-object zones. Outputs geometry with real-world dimensions-
Multichannel 3D reconstruction for Sensor Simulation (AUTONOMY)
REPLIKA™ features physics-based rendering, multi-layer materials, fully customizable and rendered in Unreal Engine 5
Automated Wildfire Risk Zoning from Aerial Imagery
REVEAL™ detects vegetation and structures, applies defensible space buffers, and quantifies per-property wildfire risk—at scale, and ready for underwriting.
SPARE INPUT 3D AIRPORT RECONSTRUCTION
REPLIKA™ generates any airport everywhere with limited input data.
Optimized for 120hz interactive rendering in Unreal Engine 5Rooftop Damage Mapping & Temporal Assessment
Model detects and monitors damage at zone-level granularity.
Burnt Vegetation Detection Using Temporal AI Models
REVEAL™ detects and quantifies vegetation loss over time by comparing imagery across years—enabling rapid wildfire impact mapping at scale.
Location Denied 3D reconstruction
REPLIKA™ supports digesting off-nadir/on-nadir imagery and optional DSM conflation for accurate and realistic reconstruction of any site on the planet.
Building Damage Assessment After the LA Wildfire
Model trained in under 4 hours to detect structure-level fire damage. Outputs zone-based polygons for triage, claims, and reconstruction.
High-Granularity Solar Panel Detection from Aerial Imagery
Model detects and measures individual panel surfaces over time—down to sub-object zones. Outputs geometry with real-world dimensions-
Multichannel 3D reconstruction for Sensor Simulation (AUTONOMY)
REPLIKA™ features physics-based rendering, multi-layer materials, fully customizable and rendered in Unreal Engine 5
Automated Wildfire Risk Zoning from Aerial Imagery
REVEAL™ detects vegetation and structures, applies defensible space buffers, and quantifies per-property wildfire risk—at scale, and ready for underwriting.
SPARE INPUT 3D AIRPORT RECONSTRUCTION
REPLIKA™ generates any airport everywhere with limited input data.
Optimized for 120hz interactive rendering in Unreal Engine 5Rooftop Damage Mapping & Temporal Assessment
Model detects and monitors damage at zone-level granularity.
Burnt Vegetation Detection Using Temporal AI Models
REVEAL™ detects and quantifies vegetation loss over time by comparing imagery across years—enabling rapid wildfire impact mapping at scale.
Location Denied 3D reconstruction
REPLIKA™ supports digesting off-nadir/on-nadir imagery and optional DSM conflation for accurate and realistic reconstruction of any site on the planet.
Train and deploy custom computer vision AI- on any imagery, in minutes. Controlled by analysts. Run on your infrastructure.
Train and deploy custom computer vision AI- on any imagery, in minutes. Controlled by analysts. Run on your infrastructure.
Deployment: SaaS/On-Prem/Air-Gapped/Edge Control Model: Analyst-Operated Cloud Dependency: Optional Infrastructure Role: Sovereign Core Orchestration Layer
Deployment: SaaS/On-Prem/Air-Gapped/Edge Control Model: Analyst-Operated Cloud Dependency: Optional Infrastructure Role: Sovereign Core Orchestration Layer
REPLIKA™, realtime transforms raw imagery into scalable, attributed 3D environments - built for simulation, autonomy, and digital twin systems.
REPLIKA™, realtime transforms raw imagery into scalable, attributed 3D environments - built for simulation, autonomy, and digital twin systems.
Cloud, air-gapped, tactical edge – the Visual Earth Operating System runs where your infrastructure does.
Cloud-optional
Edge-ready
Sovereign-compliant
Continuous Monitoring
Cloud, air-gapped, tactical edge – the Visual Earth Operating System runs where your infrastructure does.
Cloud-optional
Edge-ready
Sovereign-compliant
Continuous Monitoring
Cloud, air-gapped, tactical edge – the Visual Earth Operating System runs where your infrastructure does.
Cloud-optional
Edge-ready
Sovereign-compliant
Continuous Monitoring
Ingest satellite, aerial, drone, LIDAR, or DSM – and fuse it into a single operational workflow.
Pixel-agnostic
Multi-source fusion
Unified ingestion pipeline
No preprocessing required
Ingest satellite, aerial, drone, LIDAR, or DSM – and fuse it into a single operational workflow.
Pixel-agnostic
Multi-source fusion
Unified ingestion pipeline
No preprocessing required
Ingest satellite, aerial, drone, LIDAR, or DSM – and fuse it into a single operational workflow.
Pixel-agnostic
Multi-source fusion
Unified ingestion pipeline
No preprocessing required
Whether it’s national defense, urban planning, or wildfire response – Blackshark.ai adapts to your mission, not the other way around.
Multi-domain ready
One platform, many missions
Analyst-driven across orgs
National-scale proven
Whether it’s national defense, urban planning, or wildfire response – Blackshark.ai adapts to your mission, not the other way around.
Multi-domain ready
One platform, many missions
Analyst-driven across orgs
National-scale proven
Whether it’s national defense, urban planning, or wildfire response – Blackshark.ai adapts to your mission, not the other way around.
Multi-domain ready
One platform, many missions
Analyst-driven across orgs
National-scale proven
Each analyst-trained model can be reused, shared, adapted, and applied across domains – from wildfire detection to denied-area mapping.
Model reusability
Collaborative acceleration
Global network effect
Mission-specific libraries
Each analyst-trained model can be reused, shared, adapted, and applied across domains – from wildfire detection to denied-area mapping.
Model reusability
Collaborative acceleration
Global network effect
Mission-specific libraries
Each analyst-trained model can be reused, shared, adapted, and applied across domains – from wildfire detection to denied-area mapping.
Model reusability
Collaborative acceleration
Global network effect
Mission-specific libraries
/ Work at BLACKSHARK.AI
Ready to lead the image intelligence revolution?
/ Work at BLACKSHARK.AI
We build for urgency, not optics.
Our users don’t care about pitch decks. We focus on delivering systems that just work: quietly, reliably, and fast.We run lean, high-context teams
You’ll own real decisions, talk directly to users, and ship things that matter. Expect to own features end to end, short cycles, measurable outcomes.We take the mission seriously, not ourselves
There’s no room for politics or posturing. Just people who care about their mission and each other.
AI pipelines that process petabytes of geospatial data - fast.
Tools that let non-technical users train powerful models.
Systems that run in sensitive, sovereign environments.
A modular platform that scales from one drone to the whole planet.
You’ll probably touch:
Satellite + drone data
AI model training + detection
On-prem orchestration
Unreal Engine, ArcGIS, or custom 3D workflows
A rapidly evolving stack built for scale
Move fast & responsible
Ship quickly, own the outcome, adapt fast. No red tape.
Forge Customer Trust
Everyone talks to customers. Everyone listens. That’s how we learn.
Technical Mastery
We're all experts in our domains. Curiosity is non-optional.
Respawn & adapt
Mistakes happen. We reset, share learnings, and move forward.
Be cost conscious
We prioritize impact over complexity. Simple often wins.
Human at the core
We are ambitious and caring and win by merit.
Intellectual honesty
No business theater. No politics. We say the quiet part out loud.
OPEN ROLES
We're hiring across engineering, product, deployment, and operations.
→ No current openings
DON’T SEE A ROLE THAT FITS?
Smart people don’t always fit into predefined boxes. If you believe in what we’re building, reach out: careers@blackshark.ai
/ Work at BLACKSHARK.AI
/ Work at BLACKSHARK.AI
We build for urgency, not optics.
Our users don’t care about pitch decks. We focus on delivering systems that just work: quietly, reliably, and fast.We run lean, high-context teams
You’ll own real decisions, talk directly to users, and ship things that matter. Expect to own features end to end, short cycles, measurable outcomes.We take the mission seriously, not ourselves
There’s no room for politics or posturing. Just people who care about their mission and each other.
AI pipelines that process petabytes of geospatial data - fast.
Tools that let non-technical users train powerful models.
Systems that run in sensitive, sovereign environments.
A modular platform that scales from one drone to the whole planet.
You’ll probably touch:
Satellite + drone data
AI model training + detection
On-prem orchestration
Unreal Engine, ArcGIS, or custom 3D workflows
A rapidly evolving stack built for scale
Move fast & responsible
Ship quickly, own the outcome, adapt fast. No red tape.
Forge Customer Trust
Everyone talks to customers. Everyone listens. That’s how we learn.
Technical Mastery
We're all experts in our domains. Curiosity is non-optional.
Respawn & adapt
Mistakes happen. We reset, share learnings, and move forward.
Be cost conscious
We prioritize impact over complexity. Simple often wins.
Human at the core
We are ambitious and caring and win by merit.
Intellectual honesty
No business theater. No politics. We say the quiet part out loud.
OPEN ROLES
We're hiring across engineering, product, deployment, and operations.
→ No current openings
DON’T SEE A ROLE THAT FITS?
Smart people don’t always fit into predefined boxes. If you believe in what we’re building, reach out: careers@blackshark.ai
/ About BLACKSHARK.AI
/ About BLACKSHARK.AI
/ About BLACKSHARK.AI
To make spatial intelligence accessible – by anyone, for anything, at any scale. Blackshark.ai exists to democratize geospatial AI, making it usable by analysts, cities, and enterprises everywhere.
To make spatial intelligence accessible – by anyone, for anything, at any scale. Blackshark.ai exists to democratize geospatial AI, making it usable by analysts, cities, and enterprises everywhere.
To make spatial intelligence accessible – by anyone, for anything, at any scale. Blackshark.ai exists to democratize geospatial AI, making it usable by analysts, cities, and enterprises everywhere.
To become the infrastructure layer powering a real-time planetary twin. We aim to unify all visual data – from satellites to smartphones – into a single system that understands, reconstructs, and updates the physical world in real-time.
To become the infrastructure layer powering a real-time planetary twin. We aim to unify all visual data – from satellites to smartphones – into a single system that understands, reconstructs, and updates the physical world in real-time.
To become the infrastructure layer powering a real-time planetary twin. We aim to unify all visual data – from satellites to smartphones – into a single system that understands, reconstructs, and updates the physical world in real-time.
/ Strategic Capabilities
/ Strategic Capabilities
/ Strategic Capabilities
GOVERNMENT
AUTONOMY
ENTERPRISE
We give GIS teams in government full control, from no-code AI training to 3D reconstruction, without dependence on outside engineering or cloud-only workflows.
REVEAL™ empowers analysts to train models for zoning, land use, damage, or environmental classification.
VEOS™ deploys those models across cities, states, or entire nations – running on-prem, cloud, or hybrid.
REPLIKA™ transforms 2D outputs into 3D environments for planning, simulation, or digital twin use.
Deployed where local data meets sovereign requirements.
GOVERNMENT
AUTONOMY
ENTERPRISE
Blackshark.ai gives GIS teams in government full control, from no-code AI training to 3D reconstruction, without dependence on outside engineering or cloud-only workflows.
REVEAL™ empowers analysts to train models for zoning, land use, damage, or environmental classification.
VEOS™ deploys those models across cities, states, or entire nations – running on-prem, cloud, or hybrid.
REPLIKA™ transforms 2D outputs into 3D environments for planning, simulation, or digital twin use.
Deployed where local data meets sovereign requirements.
GOVERNMENT
AUTONOMY
ENTERPRISE
We give GIS teams in government full control, from no-code AI training to 3D reconstruction, without dependence on outside engineering or cloud-only workflows.
REVEAL™ empowers analysts to train models for zoning, land use, damage, or environmental classification.
VEOS™ deploys those models across cities, states, or entire nations – running on-prem, cloud, or hybrid.
REPLIKA™ transforms 2D outputs into 3D environments for planning, simulation, or digital twin use.
Deployed where local data meets sovereign requirements.
/ What Others Say
/ What Others Say
/ What Others Say
"Anne Arundel County is showing what’s possible when public-sector agencies adopt a production-first mindset,” said Mathew Webb, Systems Analyst of the County’s GIS Division. “This technology isn’t just about improving workflows – it’s about equipping our teams with timely, reliable, and precise data to support essential services.”
Mathew Webb
System Analyst, Anne Arundel County
"Anne Arundel County is showing what’s possible when public-sector agencies adopt a production-first mindset,” said Mathew Webb, Systems Analyst of the County’s GIS Division. “This technology isn’t just about improving workflows - it’s about equipping our teams with timely, reliable, and precise data to support essential services.”
Mathew Webb
System Analyst, "Anne Arundel County
"Anne Arundel County is showing what’s possible when public-sector agencies adopt a production-first mindset,” said Mathew Webb, Systems Analyst of the County’s GIS Division. “This technology isn’t just about improving workflows - it’s about equipping our teams with timely, reliable, and precise data to support essential services.”
Mathew Webb
System Analyst, "Anne Arundel County
"Anne Arundel County is showing what’s possible when public-sector agencies adopt a production-first mindset,” said Mathew Webb, Systems Analyst of the County’s GIS Division. “This technology isn’t just about improving workflows - it’s about equipping our teams with timely, reliable, and precise data to support essential services.”
Mathew Webb
System Analyst, "Anne Arundel County
"Anne Arundel County is showing what’s possible when public-sector agencies adopt a production-first mindset,” said Mathew Webb, Systems Analyst of the County’s GIS Division. “This technology isn’t just about improving workflows - it’s about equipping our teams with timely, reliable, and precise data to support essential services.”
Mathew Webb
System Analyst, "Anne Arundel County
/ FAQ
/ FAQ
/ FAQ
What imagery can Blackshark.ai process?
Can analysts train their own models?
Where does the platform run?
What’s the difference between HUNTR™, REVEAL™, REPLIKA™ and VEOS™,?
Is your AI interpretable?
Who uses Blackshark.ai?
What imagery can Blackshark.ai process?
Can analysts train their own models?
Where does the platform run?
What’s the difference between HUNTR™, REVEAL™, REPLIKA™ and VEOS™,?
Is your AI interpretable?
Who uses Blackshark.ai?
What imagery can Blackshark.ai process?
Can analysts train their own models?
Where does the platform run?
What’s the difference between HUNTR™, REVEAL™, REPLIKA™ and VEOS™,?
Is your AI interpretable?
Who uses Blackshark.ai?
/ Work at BLACKSHARK.AI
Ready to lead the image intelligence revolution?
We build for urgency, not optics.
Our users don’t care about pitch decks. We focus on delivering systems that just work: quietly, reliably, and fast.We run lean, high-context teams
You’ll own real decisions, talk directly to users, and ship things that matter. Expect to own features end to end, short cycles, measurable outcomes.We take the mission seriously, not ourselves
There’s no room for politics or posturing. Just people who care about their mission and each other.
AI pipelines that process petabytes of geospatial data, fast.
Tools that let non-technical users train powerful models.
Systems that run in sensitive, sovereign environments.
A modular platform that scales from one drone to the whole planet.
You’ll probably touch:
Satellite + drone data
AI model training + detection
On-prem orchestration
Unreal Engine, ArcGIS, or custom 3D workflows
A rapidly evolving stack built for scale
Move fast & responsible
Ship quickly, own the outcome, adapt fast. No red tape.
Forge Customer Trust
Everyone talks to customers. Everyone listens. That’s how we learn.
Technical Mastery
We're all experts in our domains. Curiosity is non-optional.
Respawn & adapt
Mistakes happen. We reset, share learnings, and move forward.
Be cost conscious
We prioritize impact over complexity. Simple often wins.
Human at the core
We are ambitious and caring and win by merit.
Intellectual honesty
No business theater. No politics. We say the quiet part out loud.
OPEN ROLES
We're hiring across engineering, product, deployment, and operations.
→ View current openings
DON’T SEE A ROLE THAT FITS?
Smart people don’t always fit into predefined boxes. If you believe in what we’re building, reach out: careers@blackshark.ai
/ Join the sovereign AI revolution
/ Join the sovereign AI revolution
/ Join the sovereign AI revolution
Need assistance? Shoot us an email, and we'll get back to you as soon as possible!
Need assistance? Shoot us an email, and we'll get back to you as soon as possible!
Need assistance? Shoot us an email, and we'll get back to you as soon as possible!