Experiment lineage
Manage foundation model and fine-tuning runs side by side. Track data slices, hyperparameters, and evaluator feedback in a single workspace that stays linked to your Unified Context Engine.
Train & Deploy
Model Management
Take the stress out of AI Ops with experiment tracking, evaluation, versioning, and deployment—all connected directly to your Unified Context Engine, datasets, and workforce pipelines.
Build your own foundation models
- Launch training jobs on Kubernetes, SageMaker, or Vertex without leaving Mission Control.
- Trace models back to the exact dataset versions, labelers, and QA checkpoints that shaped them—whether for Physical AI or Frontier Intelligence.
- Capture evaluation metrics, rollout gates, and rollback triggers tied to your policy milestones and alignment requirements.
Deployment governance
Gate releases on automated benchmarks, human review, red teaming, or all three. Mission Control records every decision so stakeholders can sign off with confidence.
Production monitoring
Watch drift, latency, and intervention rates in one dashboard. When issues appear you can rewind to the underlying data instantly.
Multi-Modal Annotation at Scale
Video, point clouds, text, audio—any input format, any annotation type, one unified workflow.
Panoptic segmentation2D bounding boxesOriented boxes3D cuboidsInstance segmentation masksDepth mapsPose estimation / skeletonsClassificationUnique tracking IDsEllipsesVectorsPolylinesKeypointsPolygons
Need to plug Mission Control into your MLOps stack? Turn safety and policy reviews into checkboxes, not email threads—explore integrations or request a tailored workflow. Connect your existing infrastructure or