From Pixels to Insights
From Pixels to Insights
From Pixels to Insights
AI That Works the Way Analysts Think.
Custom models. Real-time results.
Deployed where it matters.
“A force multiplier - custom AI in minutes.”
U.S. Gov Geospatial Analyst
1000
AI models built by analysts
1000
AI models built by analysts
1000
AI models built by analysts
18
Minutes Average Training Time
18
Minutes Average Training Time
18
Minutes Average Training Time
500
Years Training Time Saved
500
Years Training Time Saved
500
Years Training Time Saved
30
Million Gigapixel processed
30
Million Gigapixel processed
30
Million Gigapixel processed
/ VISUAL EARTH OPERATING SYSTEM
One platform to train AI and extract 2D & 3D from any pixel source.
/ VISUAL EARTH OPERATING SYSTEM
One platform to train AI and extract 2D & 3D from any pixel source.
/ VISUAL EARTH OPERATING SYSTEM
One platform to train AI and extract 2D & 3D from any pixel source.
Who is it built for?
Whether you need to extract insight from pixels — or simulate the world they represent — VEOS delivers.
/ For Analysts
-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
/ For Analysts
-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
/ For Analysts
-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
/ For Simulations
- Reconstruct 3D terrain from detection results - Generate Unreal-ready environments at scale - Power visual sensor testbeds and synthetic training - Procedurally enrich any geospatial source
/ For Simulations
- Reconstruct 3D terrain from detection results - Generate Unreal-ready environments at scale - Power visual sensor testbeds and synthetic training - Procedurally enrich any geospatial source
/ For Simulations
- 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 & Terrabyte 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.
[Solution] HUNTR™: Detect anything on any imagery
Train and deploy custom computer vision AI- on any imagery, in minutes. Controlled by analysts. Run on your infrastructure.
[Solution] HUNTR™: Detect anything on any imagery
Train and deploy custom computer vision AI- on any imagery, in minutes. Controlled by analysts. Run on your infrastructure.
[INFRA] VEOS™: THE SYSTEM LAYER FOR VISUAL INTELLIGENCE
Deployment: SaaS/On-Prem/Air-Gapped/Edge Control Model: Analyst-Operated Cloud Dependency: Optional Infrastructure Role: Sovereign Core Orchestration Layer
[INFRA] VEOS™: THE SYSTEM LAYER FOR VISUAL INTELLIGENCE
Deployment: SaaS/On-Prem/Air-Gapped/Edge Control Model: Analyst-Operated Cloud Dependency: Optional Infrastructure Role: Sovereign Core Orchestration Layer
[Solution] REPLIKA™: TURN ANY IMAGERY INTO 3D MISSION SPACES.
REPLIKA™, realtime transforms raw imagery into scalable, attributed 3D environments - built for simulation, autonomy, and digital twin systems.
[Solution] REPLIKA™: TURN ANY IMAGERY INTO 3D MISSION SPACES.
REPLIKA™, realtime transforms raw imagery into scalable, attributed 3D environments - built for simulation, autonomy, and digital twin systems.
INTEGRATES IN ANY INFRASTRUCTURE
Cloud, air-gapped, tactical edge - the Visual Earth Operating System runs where your infrastructure does.
Cloud-optional
Edge-ready
Sovereign-compliant
Continuous Monitoring
INTEGRATES IN ANY INFRASTRUCTURE
Cloud, air-gapped, tactical edge - the Visual Earth Operating System runs where your infrastructure does.
Cloud-optional
Edge-ready
Sovereign-compliant
Continuous Monitoring
INTEGRATES IN ANY INFRASTRUCTURE
Cloud, air-gapped, tactical edge - the Visual Earth Operating System runs where your infrastructure does.
Cloud-optional
Edge-ready
Sovereign-compliant
Continuous Monitoring
Any sensor. Any resolution. Any band
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
Any sensor. Any resolution. Any band
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
Any sensor. Any resolution. Any band
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
ADAPTS TO YOUR MISSION
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
ADAPTS TO YOUR MISSION
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
ADAPTS TO YOUR MISSION
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
EVERY MODEL MAKES THE SYSTEM SMARTER
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
EVERY MODEL MAKES THE SYSTEM SMARTER
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
EVERY MODEL MAKES THE SYSTEM SMARTER
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
/ About BLACKSHARK.AI
We build the infrastructure to understand the world through imagery
/ About BLACKSHARK.AI
We build the infrastructure to understand the world through imagery
/ About BLACKSHARK.AI
We build the infrastructure to understand the world through imagery
/ Mission
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.
/ Mission
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.
/ Mission
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.
/ Vision
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.
/ Vision
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.
/ Vision
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 Capabilties
Built for Those Who Need Answers from Imagery. Fast.
/ Strategic Capabilties
Built for Those Who Need Answers from Imagery. Fast.
/ Strategic Capabilties
Built for Those Who Need Answers from Imagery. Fast.
GOVERNMENT
AUTONOMY
ENTERPRISE
Infrastructure intelligence built for real-world policy, planning, and protection.
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
Infrastructure intelligence built for real-world policy, planning, and protection.
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
Infrastructure intelligence built for real-world policy, planning, and protection.
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
Inspiring Success Stories from Clients Who Trust Our Solutions
/ What Others Say
Inspiring Success Stories from Clients Who Trust Our Solutions
/ What Others Say
Inspiring Success Stories from Clients Who Trust Our Solutions
“After the LA wildfire, every major player showed up - major tech and geospatial providers. But only Blackshark.ai delivered. In four hours, a single analyst built a change detection model that beat everyone’s foundational models in both speed and accuracy. We verified the results on the ground: 99.3% accurate. That’s not just impressive-it changed how we think about response.”
Steven Steinberg
Chief Data Officer, LA County
“After the LA wildfire, every major player showed up - major tech and geospatial providers. But only Blackshark.ai delivered. In four hours, a single analyst built a change detection model that beat everyone’s foundational models in both speed and accuracy. We verified the results on the ground: 99.3% accurate. That’s not just impressive-it changed how we think about response.”
Steven Steinberg
Chief Data Officer, LA County
“After the LA wildfire, every major player showed up - major tech and geospatial providers. But only Blackshark.ai delivered. In four hours, a single analyst built a change detection model that beat everyone’s foundational models in both speed and accuracy. We verified the results on the ground: 99.3% accurate. That’s not just impressive-it changed how we think about response.”
Steven Steinberg
Chief Data Officer, LA County
“After the LA wildfire, every major player showed up - major tech and geospatial providers. But only Blackshark.ai delivered. In four hours, a single analyst built a change detection model that beat everyone’s foundational models in both speed and accuracy. We verified the results on the ground: 99.3% accurate. That’s not just impressive-it changed how we think about response.”
Steven Steinberg
Chief Data Officer, LA County
“After the LA wildfire, every major player showed up - major tech and geospatial providers. But only Blackshark.ai delivered. In four hours, a single analyst built a change detection model that beat everyone’s foundational models in both speed and accuracy. We verified the results on the ground: 99.3% accurate. That’s not just impressive-it changed how we think about response.”
Steven Steinberg
Chief Data Officer, LA County
/ What Others Say
Your Most Common Questions Answered
/ What Others Say
Your Most Common Questions Answered
/ What Others Say
Your Most Common Questions Answered
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?
/ Work at BLACKSHARK.AI
Ready to lead the image intelligence revolution?
/ Work at BLACKSHARK.AI
Ready to lead the image intelligence revolution?
HOW WE OPERATE:
We decode the Earth from pixels and data.
We build sovereign AI infrastructure.
We scale the simulation of reality for those who need to prepare for it.
Move fast & responsible
We operate with urgency, but never at the expense of of integrity.
Forge Customer Trust
We listen, deliver and always uphold those depend us.
Technical Mastery
We know the stack from the model weights to the GPU instructions
Respawn & adapt
When we hit a wall, we rethink, retool, and come back stronger.
Be cost conscious
We solve with elegancy, not excess.
Human at the core
We succeed by merit. We endure by how we treat people.
Intellectual honesty
We say the hard thing and look at real data.
We rarely post jobs. Most of our team joined through referrals, reputation, or shared missions. The few who reach out and get a reply—there’s usually a reason. We believe the right people recognize themselves in the work. If that’s you, we’d love to hear why. ✉️ careers@blackshark.ai
/ Join the sovereign AI revolution
The next wave of AI belongs to analysts. Ready to lead it?
/ Join the sovereign AI revolution
Ready to lead the image intelligence revolution?
/ Join the sovereign AI revolution
The next wave of AI belongs to analysts. Ready to lead it?
Drop Us a Line
Need assistance? Shoot us an email, and we'll get back to you as soon as possible!
Drop Us a Line
Need assistance? Shoot us an email, and we'll get back to you as soon as possible!
Drop Us a Line
Need assistance? Shoot us an email, and we'll get back to you as soon as possible!