Eventual
Scenario mining and curation for robot fleet data
- Data Engineering
- Robotics
- Open Source
- Computer Vision
About
Eventual helps robotics and autonomy teams find what matters in millions of hours of fleet video. Engineers describe a scenario in plain language, Eventual finds every match across their footage and turns the results into balanced, high-signal training sets, and it watches live feeds for failures as they happen.
It runs on Daft, the open-source engine Sammy Sidhu and Jay Chia built to make processing images, video, audio and text as simple as SQL made tabular data. Both worked on self-driving infrastructure at Lyft before going through Y Combinator in 2022. Eventual raised a $20M Series A led by Felicis in 2025.
Array invested in Eventual's seed round in 2022, and again in its 2024 seed round led by CRV.
Record
- Stage
- Series A
- Category
- Data Engineering
- Location
- San Francisco, California
- Team
- 11-50
- Total raised
- $30M
- Array came in at
- Seed, 2022
