@FoundryRobotics || fix infrastructure with robots first || former computer vision researcher, dev advocate || angel investor
San Francisco, CA
Joined November 2017
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Isha Ghodgaonkar retweeted
Today, @FoundryRobotics is announcing our $100M Series A, led by @MarlinspikeVC with continued support from @khoslaventures.
Together we’re securing America's ability to defend, compete, and innovate by building critical hardware at home with our new 130,000-square-foot factory in Emeryville, California.
We’re already shipping to paying customers across energy, telecom, autonomous vehicles, and defense. The next era of American manufacturing starts here.
Time to build.
Isha Ghodgaonkar retweeted
If you’re reading this, you’re not ready for what’s coming in physical ai…
Isha Ghodgaonkar retweeted
Super excited to talk robots here. Looking forward to it @claudeai!
Isha Ghodgaonkar retweeted
YouTube videos are great, but also it remains a hell of an achievement to turn on 8 4k cameras for realtime processing with 4 9’s of uptime in an industrial setting
Robotics deployment is going to be everything
Isha Ghodgaonkar retweeted
This. Just this. This is why physical AI matters.
Credit to @garrett_geoff on the research.
Join @FoundryRobotics and let's fix this.
Isha Ghodgaonkar retweeted
Value creation through partial autonomy is the single most reliable strategy for building a robotics company.
Gen Z is gonna look back on this era of unregulated AI like millennials look back at the early internet
Different robotic models are useful for different things. We will not have the same paradigm as we do with LLMs (largely one way to train and finetune the same architecture), because the models are multimodal.
Visual language action models can be improved in certain ways if you remove the language layer, for example trajectories. Steerability is affected though. So that’s already one tradeoff.
There will not be one winner
For anyone who’s confused:
“Robot data” means teleoperation
“Human data” means egocentric collection
The next frontier is ultra ultra long horizon context understanding so we can be lazy with AI cuz wdym I have to put effort into my prompt
Camp 1: b2b startups
Camp 2: consumer startups
Been in SF for almost 2.5 years. And figured two types of people:
Camp 1: Stanford or Berkeley? Which company? How much equity? Know any VCs?
Camp 2: What’s the last thing that changed how you think? What problem are you obsessed with? What did you read last?
One exhausts me. The other reminds me why I moved here. 😅