
Deep learning-fueled labeling technology for images and videos with a focus on instance and semantic segmentation with a mission to automate image labeling. Supporting predictive labeling and active learning workflows on large-scale datasets.

Deep learning-fueled labeling technology for images and videos with a focus on instance and semantic segmentation with a mission to automate image labeling. Supporting predictive labeling and active learning workflows on large-scale datasets.
Founded: Early 2020
Headcount: 12
Product: Multi-sensor labeling platform for 2D/3D segmentation
Funding: Pre-seed (~$1.0M disclosed, 2021)
Notable backers: Y Combinator, Volta Ventures, Merus Capital
Data labeling and annotation for computer vision, robotics, and autonomous driving (segmentation and multi-sensor fusion).
2020
Computer vision / Data labeling / Robotics
1000000.00 USD
Backers include Y Combinator, Merus Capital, Volta Ventures, and angel investor Jonathan Cornelissen.
“Backed by Y Combinator and early-stage VCs (Volta Ventures, Merus Capital)”