Chariot
Machine learning operations platform
An AIOps/MLOps platform, marketed as 'the command center for enterprise AI', that provides a workbench for building, deploying, monitoring, auditing, and retraining machine learning models, originally aimed at unstructured data workloads such as computer vision and NLP.
- Automated AIOps with one-click model deployment and adaptive retraining
- Model governance: traceability and observability across the development lifecycle and into production
- Cloud-to-edge deployment into disconnected and compute-constrained environments with remote updates
- Dynamic routing that sends each request to the best-performing model for the data modality
- Multi-domain awareness fusing satellite imagery, edge-sensor video, and electronic intelligence
- Adaptive multi-domain automatic target recognition (ATR) across sensor types and perspectives
- Kubernetes-based, available via Azure, AWS, and Google Cloud marketplaces
Built for
US and allied defense and national security agencies — the Army, Navy, and combatant commands including EUCOM, INDOPACOM, and CENTCOM — plus other federal government and commercial enterprises running operational AI