Isha Ghodgaonkar

chief of staff @FoundryRobotics || angel investor || former ML developer advocate 👩‍💻

[Isha Ghodgaonkar @ishabytes]

POV: you’re pitching us your agentic AI startup

[Isha Ghodgaonkar @ishabytes]

Come find me and @GummadiMeghna at @CVPR this weekend!

[Isha Ghodgaonkar @ishabytes]

AI workplace tool icon starter pack

- something swirly
- circular

[Isha Ghodgaonkar @ishabytes]

Agentic security for Uber Eats is my contrarian bet for 2026

[Isha Ghodgaonkar @ishabytes]

I miss when stores just took your money and called it a day without having you fill out a form

[Isha Ghodgaonkar @ishabytes]

Thanks for the meeting I’ll have my agent email your agent

[Foundry Robotics @FoundryRobotics]

Factories are still held together by human coordination and traditional, hard-coded assembly workflows.

That’s the bottleneck.

@adarshkulkarni and @mavolpi discuss the future of autonomous manufacturing, robotics foundation models, and why scaling assembly is one of the hardest problems in the real world.

https://t.co/XK4vRdPZ6P

[Adarsh Kulkarni @adarshkulkarni]

Recently, I had the chance to speak at the @wef about the future of factories and what it will actually take to build autonomous manufacturing systems in the real world.

A lot of people imagine “lights out” factories where humans disappear entirely. That misses the point. We want factories filled with cameras that are reactive, autonomous, and intelligent.

The reality is that today’s robots still need humans to teach them — how to manipulate objects, recover from edge cases, adapt to variability, and operate in dynamic environments.

The bottleneck is no longer whether the core technology works. Robotics foundation models are improving incredibly fast.

The real challenge is scale.

How do you collect enough real-world manufacturing data?
How do you continuously improve robotic behavior across thousands of tasks?
How do you turn robotic learning into a production system, not just a demo?

That’s the problem we’re building around at Foundry Robotics.

We believe the future factory will be human-guided, AI-native, and increasingly autonomous over time — with every assembly cycle making the system smarter.

Still early, but excited for what’s coming next.

[Isha Ghodgaonkar @ishabytes]

Unfortunately I love San Francisco fog aesthetic

[Isha Ghodgaonkar @ishabytes]

I studied computer engineering but I I wish I double majored in anthropology

[Isha Ghodgaonkar @ishabytes]

This is jokes my kitties only get the best

[Isha Ghodgaonkar @ishabytes]

honestly how am I supposed to keep up with feeding my cat wet food 2x/day when I don’t even feed myself wet food 2x/day

[Isha Ghodgaonkar @ishabytes]

so does anyone actually remember signing up for shop or did we all just end up here

[Isha Ghodgaonkar @ishabytes]

I'm hiring swes who want to work on physical ai https://t.co/DzL3y31Eke

[Javier Correa @javiercorrea]

Well I’m hiring SWEs who want to work in physical AI.

Be early to the next and final frontier of AI

[Javier Correa @javiercorrea]

We built our first factory in 21 days.

A sledgehammer, a team, and a vision for what US manufacturing could be.

LET’S BUILD!

[Isha Ghodgaonkar @ishabytes]

wooo ice cream @JudgmentLabs

[Foundry Robotics @FoundryRobotics]

Foundry Robotics opening night ⚙️

21 days before we were taking a sledgehammer to the wall and opening up the adjacent space.

Now it’s a factory floor full of investors, partners, customers, researchers, operators, and future teammates.

A lot more to come.

[Isha Ghodgaonkar @ishabytes]

@FoundryRobotics’s product is manufacturing.

@adarshkulkarni’s product is @FoundryRobotics.

My product as CoS is @adarshkulkarni

[Isha Ghodgaonkar @ishabytes]

Learnings from the last month in robotics foundation models:

- steerability is still very important. not just for efficient training, but also for downstream ability to intervene (e.g by humans)

- that steerability is still easiest through language

[Isha Ghodgaonkar @ishabytes]

nothing like a good deep work block