Products
Introducing: FeatureLabTM
Accelerating Discovery Through AI
An intuitive, no-code platform for building, training, and deploying custom computer vision models
Move Faster
Cut project timelines, reduce labor costs, and speed up critical decision-making processes.
Work Seamlessly
Easily integrates with existing workflows, reducing time-to-value.
Control Your Data
Keep models and data proprietary and confidential– and custom built for your needs.
Load and Review Your Data
Quickly import sonar imagery, point clouds, or other supported data formats—no conversions or preprocessing required. FeatureLab makes it easy to organize, explore, and inspect your data before annotation, giving you full visibility into what’s been collected and where to focus your efforts.
Annotate Your Data
Use FeatureLab’s streamlined interface to annotate sonar imagery with bounding boxes, segmentation masks (coming soon), and classification tags. Built for high-volume workflows, our tools support object-level metadata, multi-class annotation, and automated validation—making it easy to build training-ready datasets for complex environments.
Train and Evaluate
Generate high-performing models with just a few clicks—no coding required. FeatureLab automatically selects the right architecture based on your data type and task, then trains custom AI models tailored to your environment. Evaluate performance with detailed metrics like accuracy, mAP, F1 score, and class-level breakdowns to ensure your model meets mission requirements.
Deploy and Monitor
Seamlessly deploy your trained models to local servers, with edge device and cloud support coming soon. FeatureLab supports flexible export options and integrates with your existing infrastructure, making it easy to put AI into action. Monitor results, collect new data, and retrain as your environment evolves.
- Supports acoustic sonar and general imagery formats
- Cross-project comprehensive feature database
- Export to CSV, PDF, shapefile (coming soon)
- Object detection and classification, segmentation-based models coming soon
- Incremental and transfer learning functionality
- Plugin functionality to allow users to leverage existing pre-built models
- Feature detection with edge devices coming soon
- The Lab Assistant guides users through building, training and deploying models-- and understanding the results.
- Users retain full control of their data and their models.
- Data management functionality to allow users to continue training and apply models across different projects
Hydrographic Mapping
Identify hazards to navigation, bathymetric features and other targets in sidescan and bathumetric sonar data
Manufacturing
Perform automated quality control right on the production line
Agriculture and Natural Resources
Monitor crops, identify pests, and track livestock
Healthcare and Life Sciences
Identify features in medical imaging and classify cells
Defense and Aerospace
Identify and monitor targets, perform surveillance from aerial imaging and other data types
Utilities
Monitor vegetation encroachment, identify infrastructure needing repair