artemis
The Enterprise Data Labeling PlatformThe most widely utilized and trusted labeling technology across the Globe by leading AI companies. Advanced geospatial data labeling platform with native data type support for defense & intelligence use cases. Designed for mission critical needs where quality matters.
Unmatched Data Labeling Capabilities Powering AI Initiatives Around the Globe
+10 Billion
Trusted Multi-Sensor Labels
+6.8 Million
Active Labelers
+40 Million
Images Collected
Data Labeling Designer
Drag-and-Drop designer for crafting rapid, optimized data labeling interfaces for any use case and any data type. Reduces technical barriers to designing optimized data transformation interfaces for enhanced efficiency and increased quality across data labeling and model evaluation jobs.
Label Against Geospatial Data
Label across various geospatial data types including EO, SAR, IR, etc. with native data type support for GeoTiff and NITF. Rapidly on-board new sensor types in hours not months with our auto data translation engine to label across future sensor needs.
Geospatial Layers & ELT Functions
Stack multiple geospatial layers across sensor types with built-in support for map tiling, rotation, brightness, contrast, rotation, and built-in measuring tool for enhanced object classification leveraging multiple sensor types.
Advanced Auto Segmentation
Rapid segmentation across complex ontologies leveraging built-in segment anything automation directly in your labeling pipeline.
ML-Assisted Tracking for FMV
Our advanced ML-assisted Labeling can provide unique identifiers to objects to enable high quality object detection and tracking capabilities for defense and intelligence scenarios across all data types
Single Click Labeling
Rapid segmentation across complex ontologies leveraging built-in segment anything automation directly in your labeling pipeline.
3D Point Clouds – LiDAR Labeling
Rapid LiDAR and other sensor type labeling for defense and intelligence applications to enable robust and accurate AI training data to drive autonomous capabilities for vehicles, robots, and more.
Labeling for Adversarial Disguise
Integrated red teaming and advanced mechanisms to protect your AI training data pipelines and empowering more robust detection and tracking capabilities for your CV models. With built in ability to support component based labeling, our platform unlocks the potential of CV models to detect in adversarial disguise scenarios.
Multi-Sensor Data Label Fusion
Unified ID persistence across sensors and datasets enabling the ability to rapidly develop training data to identify and track suspects from multiple viewpoints to stitch together a data driven story to train AI models against.
Enterprise Ontology Management
Easy-to-use, drag-and-drop ontology designer with advanced support for up to 1000 nested ontology and attributes to handle complex defense and intelligence scenarios including segment based object classification. Support to easily connect to any existing ontology manager.
Labeling Workflow Automation
Streamline complex data workflows with up to a 20x efficiency gain. Seamless human-machine teaming through multi-model plug-and-play integration. Drag-and-drop & API workflow builder with support for connecting data labeling tasks, models, & scripts.
Plug & Play Any Third-Party Model
Connect to any third-party model to drive data labeling automation with built in quality control mechanisms to avoid impacts to quality. Gain rapid insights into your data labeling compaigns through automation while leveraging human insights to drive model innovation.
Monitor Performance Real-Time
Monitor any labeling team in real-time to understand how to shift resources and assign based on auto-detection of individual skillsets across your labeling force.
Real-Time Quality Transparency
Zero trust quality control. Real-time monitoring of over 200 human factors for labeling teams enabling dynamic adjustments to quality control mechanisms based on unique data types or mission needs. Built in red team integration enabling justified confidence in resulting datasets.
Know what to Label
Gain insights on gaps in training data that could impact model performance. Don’t waste millions on labeling things that don’t need to be labeled. Our technology enables a streamlined approach to selecting the right data to label to drive model performance
Understand your Data
Leverage our integrated FiftyOne module in Artemis to visualize and query your data with Gen AI. Rapidly understand all your raw and labeled datasets. Empower your stakeholders to know what data is most important to drive model performance.
