Tanmay Agarwal

@gauri__gupta @NeoSigmaAI @RitvikKapila Congrats on the launch! Excited for the things to follow! 🚀

We @neosigmaai @RitvikKapila are building the future of self-improving AI systems! By closing the feedback loop between production data and system improvements, we help teams capture failures, convert them into structured evaluation signals, and use them to drive continuous improvements in agent behavior. We show how our system works on Tau3 bench across retail, telecom, and airline domains. Agent performance on the validation set (with a fixed underlying model, GPT5.4) improves from 0.56 → 0.78 (~40% jump in accuracy).

when production failures become evals, evals become experiments, and experiments become reliably better agent behavior, you get a system that compounds. the biggest ai companies of next decade will be the ones with the best self improvement loops. excited for what @gauri__gupta @RitvikKapila are building at @NeoSigmaAI

context is the new code - and right now it’s not easily version-controlled, portable, or auditable

This result is important for developing the intuition for what the future holds for manufacturing. It shifts the needle from what possible to automate to what you want to automate - it's a beginning of a new era of process automation!

@SkildAI @ABBRobotics @Universal_Robot @NVIDIARobotics Cookin! 🚀

This is an end-to-end neural network that can be fine-tuned rapidly for new tasks with little data: no control-theory background required. We’re partnering with @ABBRobotics, @Universal_Robot, and @NVIDIARobotics to scale this worldwide. Blog -> skild.ai/blogs/reindust…

Nearly every system today, from energy to chips to food, is bottlenecked by scarce human capital. We are changing that by building AI-powered industries of the future. Check out Skild Brain robustly assembling GPU racks, a highly precise task, live at #NvidiaGTC.

At GTC 2026 Skild booth, @shikharbahl & @kmarinou_ demo Skild Brain operating autonomously from pixels to robot actions, doing busbar assembly for NVIDIA GB300 compute tray. Skild uses the same omni-bodied base model for humanoids, quadrupeds, and variety of industrial robots.

Real deployments. Real data.

Hey @BradPorter_ @willknight ! Nice to hear from you. Here is what's going on and a few reasons why it is a BIG deal for the future of industrialization. Unlike classical automation, this is: - Fully end-to-end neural network (Skild Brain) finetuned with a small amount of robot data (or even zero real-world data) - Robust to disturbances and extremely fast to set up for any new task - Long-horizon task with in-context memory. No step-by-step programming - No custom tuning, no fancy sensors, just vanilla cameras Why not classical automation: - Current automation stations require extensive hand engineering and are extremely costly (typically 3x or more than the robot itself). Unfortunately, if the task needs ultra precision, they don't transfer if the setup changes by even 0.1mm, which is very difficult to ensure in a mix of human-operated stations with automation. - If you look at the live demo for 5-10 minutes, and as we swap racks, you will see the robot needs to adjust the drill or its actions several times due to disturbances in setup. Hence, classical methods fail, so you need a learning approach. Unless you spend a shit ton of money (design for automation DFA, robot in an enclosed cell, heavy sensorization, etc.) to make sure everything is 0.1mm level precise, which beats the point if the setup is going to change quickly. E.g., NVIDIA changes GPU designs every 6months! - Oh, and this, this is not a made-up task -- it is actually done by humans in Foxconn factory: reuters.com/business/media… Vision: Imagine anyone with no expertise in controls (factory worker, handyman, etc) being able to automate arbitrarily complex factory stations in a couple of days on their own with no fancy setup -- this is going to revolutionize traditional automation!

India, we’re here! 🇮🇳🇺🇸 From one Silicon Valley to another, we’re thrilled to open our newest office in Bengaluru.

At @SkildAI, we’ve raised $1.4B, bringing our valuation to over $14B. We’re on a generational mission, and I’m grateful to be working alongside an exceptional team. Thanks to our investors for the long-term conviction towards omni-bodied intelligence 🚀 bloomberg.com/news/articles/…

Announcing Series C We’ve raised $1.4B, valuing the company at over $14B With this capital, we will accelerate our mission to build omni-bodied intelligence 🚀 skild.ai/blogs/series-c

This is such a satisfying result. I cannot emphasize enough. Well some end-to-end loco manipulation for you! P.S. This is a single policy controlling everything about the robot - where to move, what to pickup, how to pickup, where to place and so on...

Humans learn by watching. Robots should too.

Also how does blr even compete with Biryani?

Hyderabad’s infra is so much more equipped. Bangalore doesn’t stand a chance without a dramatic intervention.

Happy Holidays!! 🎄🎄

giving our humans (and robots) a break at skildsgiving ‘25

Great time to share @watneyrobotics strategy which is same as 1x.

Stuff that matters!

can't catch me now 🏃💨🪚🪚