Every capability you need to ship vision AI. None of the duct tape.
Annotation, dataset management, model training, and MLOps in one connected workflow — with built-in governance and an audit trail you can export to any regulator.
Annotation Tools
Bounding boxes, polygons, keypoints, segmentation — every annotation type your vision team needs.
AI Pre-Annotations
Auto-suggest labels to accelerate work
Workflow Builder
Configure stages: annotate, review, approve.
Audit Trail
Immutable history of every label, reviewer, and decision — export-ready for audits and regulators.
Experiment Tracking
Log runs, metrics, and configurations.
Deployment Pipelines
Push models to staging and production.
Human-in-the-Loop Ops
Route low-confidence predictions to humans.
Security & Compliance
SSO, encryption, ISO-aligned controls
Dataset Management
Organize datasets, tags, and splits
Active Learning
Prioritize the hardest, most-uncertain samples — cut labeling cost without losing accuracy.
Role-Based Access
Role-based access for annotators, reviewers, MLEs, and auditors — with full action logging.
Custom Model Training
Train models on your labelled data with reproducible runs and managed compute — no GPU setup required.
Model Registry
Store, approve, and promote models with automated model cards regulators accept.
Monitoring & Alerts
Drift, latency, and quality monitoring in production — with alerts and human-in-the-loop routing.
API & Webhooks
Automate workflows with REST APIs and webhooks for your existing tooling.
How it works
Ingest & Organize
Import image and video datasets, define taxonomies, labeling guidelines, and access roles to structure your data foundation.
Annotate with acceleration
Label data using advanced annotation tools with AI-assisted pre-labeling, smart suggestions, and active learning.
Validate with QA
Run multi-stage review workflows, audits, and quality checks to ensure consistent and reliable datasets.
Train & Evaluate
Trigger training pipelines, compare experiments, and monitor model performance in a unified workflow.
Deploy & Iterate
Promote trusted models, monitor performance in production, and continuously improve using real feedback loops.
One platform to turn raw data into production-ready AI: combining data annotation, dataset management, and machine learning workflows in a single system.
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