Salman

Edmond Verified account @EdmondIsARobot · Aug 10

A huge thank you to everyone who joined
@SundaeRobotics 03! 🤖🍨 Special thanks to @binghao_huang for an outstanding talk on the future of flexible tactile skin for dexterous manipulation.

🤖🍨 Next Sundae (luma.com/ea5t7sbf), we're excited to host @kaiwynd, a Ph.D. student at Columbia University advised by Prof. Yunzhu Li, for a talk on engineering robotic simulators for evaluation, data generation, and sim-to-real robot learning.

Thanks to @angelajiazhang @thejonohart @menemazarakis @drjingxi @litian_liang @Joshuabrowder

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Brandon Ong Verified account @brandon1 · Aug 9

Today we're launching Hebbian Robotics (YC S26) @hbr_pbc .

We build APIs for evaluating data quality, without training a robotics model.

Data vendors use our API to search and analyze Physical AI data at scale, getting on-demand quality signals and metrics without managing infrastructure.

High-quality data is the bottleneck to the next frontier of intelligence in robotics. Buyers want data they can trust. Data providers are focused on operational excellence. They don't have the bandwidth to understand the quality of their data at scale.

We're fixing this. Vendors use our APIs to understand the impact of their decisions on their data quality:

- Buyers demanding per-collector hour limits? Prove compliance while we stay ahead of the workarounds.

- Changed your collection SOPs? Monitor for quality drift and regression.

- Suspect duplicate samples? Verify with a single API call.

Before Hebbian, I trained AI models for industrial cleaning robots, and @kstonekuan spent years building large-scale infrastructure at Jane Street.

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