23bulbs offers ARRAY, a data engine that combines patented wearable cameras with an on‑device annotation stack to capture and automatically label massive video datasets. The system generates hundreds of millions of copyright‑safe, richly tagged video clips each year and provides API or bulk download access for AI labs, computer‑vision startups, and enterprises needing large, high‑quality training data.
Funding
Funding not disclosed
Founders
Product
Problem
AI model performance is increasingly limited by the scarcity of large, high‑quality, labeled video datasets. Existing data sources are often insufficient in scale, lack proper annotations, or raise copyright concerns, hindering the development of robust computer‑vision systems.
Solution
ARRAY, the data engine from 23bulbs, addresses this gap by combining patented wearable hardware with a proprietary software stack to capture and automatically tag video streams at scale. The system continuously records real‑world footage from multiple wearables, applies on‑device labeling algorithms, and aggregates the results into a centralized repository. This pipeline produces hundreds of millions of uniquely labeled video clips each year, providing a copyright‑safe, scalable source of training data. By licensing access to this dataset, AI labs and enterprises can accelerate model development without the overhead of building their own data collection infrastructure.
Target Audience
Primary customers are AI research labs, computer‑vision startups, and large enterprises that require extensive, labeled video data to train and fine‑tune their models.
Features
- Patented wearable cameras that capture high‑resolution video in diverse environments
- Real‑time on‑device annotation engine that generates rich metadata (object tags, actions, context)
- Automated pipeline that aggregates and de‑duplicates footage to deliver hundreds of millions of unique clips annually
- Built‑in copyright management ensuring all data is royalty‑free and safe for commercial use
- API and bulk download options for seamless integration with existing training pipelines
- Scalable cloud storage and indexing to support rapid retrieval of specific video subsets