Closed Alpha: Accepting high-volume ML teams

The Video-Native
Data Engine.

Stop treating video as disconnected frames. Optic automatically tracks objects and lets you query, curate, and label temporal events at scale. Cut data prep time by 90% in robotics, manufacturing, security, and beyond.

Optimized for High-Throughput Pipelines in

Robotics
Manufacturing
Autonomous Systems
Physical Security
Industrial Automation
Core

Semantic Video Search

Find "person running red light" or "robot arm collision" instantly across hours of footage. Stop manually scrubbing.

Event-First Ontology

Define temporal segments like "Cycle_Start" or "Safety_Violation". Perfect for calculating duration metrics and success rates.

Automated Curation

Automatically surface tracking failures, anomalies, and rare edge cases to balance your training datasets.

Works with your ML Stack

Optic plugs into your existing storage and training pipeline rather than replacing them.

PyTorch
TensorFlow
COCO Video
MOT Challenge
Labelbox
S3 / GCS

Python SDK

Full programmatic access to query tracklets, events, and frames.

$ optic query "unlabeled & anomaly" --export coco