Vision Lab operates an industrial data layer for robotics, aggregating egocentric video footage from factories across 30+ countries and converting it into SOP‑structured production data. It offers fine‑tuned temporal vision models and a standardized capture network that provide high‑efficiency annotation and clean data rights for AI developers and manufacturers. Access to the curated dataset and model APIs is sold on a subscription or usage‑based licensing model.
Funding
Funding not disclosed
Founders
Product
Problem
Industrial AI developers lack a unified source of high‑volume, SOP‑structured video data that captures real‑world manufacturing processes, making it costly and time‑consuming to train reliable vision models for robotics and automation. Existing datasets are fragmented, inconsistently labeled, and often missing clear usage rights, which hampers model generalization across diverse factories and sectors.
Solution
Vision Lab operates an industrial data layer that aggregates egocentric video footage from thousands of factories in over 30 countries, delivering SOP‑level production data across biotech, EV, semiconductors, pharma, electronics, and more. The platform supplies fine‑tuned vision models—temporal visual‑language models—that automatically transform raw footage into step‑by‑step, temporally annotated knowledge, dramatically reducing manual labeling effort. A standardized capture protocol, continuous quality assurance, and verified data rights ensure that every video segment is clean, consented, and ready for commercial use. Customers can access the data and model outputs via a secure API, enabling rapid development of foundation models, deployment of industrial AI, or research into human‑machine interaction. By centralizing diverse, high‑fidelity video streams and providing turnkey annotation tools, Vision Lab removes the data bottleneck that currently limits scalable robotics solutions.
Target Audience
The primary customers are robotics and automation teams, industrial AI developers, and manufacturing enterprises that need large‑scale, annotated video data to train and validate vision systems, as well as research labs focused on human‑machine interaction in factory settings.
Features
- Egocentric video collection from 50+ industry verticals with SOP‑level process metadata
- Global factory capture network employing standardized recording protocols, consent management, and continuous QA
- Temporal VLM that parses raw footage into ordered task steps, key points, and reasoning annotations
- Automated, high‑efficiency annotation pipeline that reduces manual labeling time by up to 80%
- API‑first access to both raw video streams and structured annotation outputs, supporting REST and gRPC
- Verified ground‑truth and clean data rights ensuring compliance with IP and privacy regulations
- Multi‑industry coverage (biotech, EV, semiconductors, pharma, electronics, etc.) for cross‑domain model training
- Scalable storage and delivery infrastructure with end‑to‑end encryption and role‑based access controls