Mission-critical data infrastructure for defense AI
Encord gives defense AI teams the labeling, curation, and model evaluation platform built for ISR, EO/IR, SAR, and autonomous systems with deployment options that meet your security requirements.
Why defense AI teams are switching to Encord.
Find the data that moves your model. Filter everything else.
Collecting data in operational environments is hard. Data is too valuable to waste on poor-quality samples, near-duplicates, or frames that won't move your model forward. Encord lets you find the highest-signal data in your collection before a single frame hits the annotation queue.
Understand where your model fails before it matters operationally
Encord lets you run structured human evaluation on model outputs, identify systematic failure modes across sensor conditions, and close the loop from production edge cases back to your annotation queue.
Sensor fusion annotation for autonomous and perception systems
Ground autonomy, unmanned vessels, and drone-based perception stacks combine LiDAR, radar, and camera feeds simultaneously. Encord annotates across all modalities in a unified workspace, with labels linked and timestamps aligned across sensor streams from the start.
Sensor fusion annotation for autonomous and perception systems
Ground autonomy, unmanned vessels, and drone-based perception stacks combine LiDAR, radar, and camera feeds simultaneously. Encord annotates across all modalities in a unified workspace, with labels linked and timestamps aligned across sensor streams from the start.
Video-native annotation built for defense data
Encord streams video in its native format. No downsampling, no frame-by-frame processing. Object tracking, linear interpolation, and nested ontologies handle the complexity of military target annotation across EO/IR, SAR, and multi-sensor payloads.
Video-native annotation built for defense data
Encord streams video in its native format. No downsampling, no frame-by-frame processing. Object tracking, linear interpolation, and nested ontologies handle the complexity of military target annotation across EO/IR, SAR, and multi-sensor payloads.
Traceable, auditable, and exportable labels
Defense data carries legal and operational weight. Encord gives you full lineage on every label: who created it, who reviewed it, when it changed, and what model or human touched it. Every annotation decision is traceable, auditable, and exportable.
Traceable, auditable, and exportable labels
Defense data carries legal and operational weight. Encord gives you full lineage on every label: who created it, who reviewed it, when it changed, and what model or human touched it. Every annotation decision is traceable, auditable, and exportable.
“Encord supported the Royal Navy and British Defence by providing critical computer vision infrastructure for Project Stormcloud, enabling the defence industry to automate visual tasks, annotate data for internal intelligence analysis, and store data at a large scale.”
Providing Computer Vision Infrastructure for Project Stormcloud
Building Defense AI? Check out our additional resources.
Frequently asked questions
Yes. Encord offers on-premise deployment for classified and export-controlled workloads. The complete platform runs within your physical infrastructure. No data transits Encord servers. Deployment timelines and commercial terms vary; contact us to discuss your specific requirements.
Encord's VPC and on-premise deployment options are specifically designed for export-controlled data environments. Your data is hosted within your own infrastructure, with access controls, audit logs, and role-based permissions that support compliance posture. We can provide a formal security documentation package for review by your legal and compliance teams.
Yes, and this is critical for defense use cases. Encord allows you to integrate your own detection models as pre-labeling agents via the Python SDK. You can set confidence thresholds, route low-confidence predictions directly to human review, and continuously improve pre-labeling accuracy as your models improve.
Encord supports both committed annual annotation services and sprint-based burst capacity. Pricing can be structured as annotation hours rather than per seat. For specialist annotators with specific geolocation or clearance requirements, we can discuss bespoke workforce arrangements.
CVAT is a useful open-source tool at low scale. It processes video frame-by-frame rather than natively streaming video, which makes interpolation and tracking substantially slower. Encord streams video in its native format, supports object tracking across frames, and handles production volumes of tens to hundreds of millions of frames.
Encord supports 2D EO/IR video and imagery, SAR, 3D LiDAR point clouds, radar data, and multi-sensor fusion workflows. We also support geospatial data annotation and have roadmap investment in additional modalities.
The SDK lets you automate the full data lifecycle: ingest data programmatically, create annotation tasks, trigger pre-labeling pipelines, run QA checks, export labeled data directly into training pipelines, and route production failure cases back into annotation queues automatically. Teams use it to close the loop between model deployment and data improvement without manual engineering handoffs.