Perit.AI

Perit.AI builds frontier training data for AI labs and robotics teams — collecting and annotating speech, video, image and text in the exact settings where models break, then benchmarking outputs against human experts. It also ships reinforcement-learning environments and quality reporting, with support for transcription, word alignment and physical-intelligence data collection across multiple locales.

As frontier models saturate the easy web-scraped data, the remaining gains come from the messy, expert-heavy edge cases — precisely where Perit.AI focuses. Robotics and physical-intelligence programs in particular are starved of the real-world data they need.

Founded in 2026 by Poorva Dixit and Kshitij Dixit, the company is built around a simple premise: use people with genuine real-world expertise to capture data where models actually fail, rather than generic crowd labelling.

The two-person founding team is betting on expert-in-the-loop data collection and evaluation as the differentiator — pairing domain specialists with rigorous benchmarking against human experts.