Are robots ready to accelerate science labs?
We created the WetLabs Benchmark to test 9 critical tasks, from easy to hard, and let 3 leading models take 20 attempts per task
Astra leads but it comes close...
One year of hyper-acceleration can be the catalyst that ignites your trajectory.
I've seen students do 2-3 years of work in a single year, kick off a chain reaction of fortunate events, and fly through doors they didn't even know existed.
The first year is the hardest because you're fighting the inertia of your old habits. But once you're in motion, it's easier to maintain your speed.
Make no mistake: even still, you have to keep all thrusters firing. You can't let up. If you do, the gravity of mediocrity will gradually pull you back down.
Grateful to be named one of Business Insider's 25 most promising robotics startups of 2026.
Thank you to the investors and researchers who saw the thesis early: the bottleneck in physical AI isn't architecture, it's real human data.
We're in the earliest innings of the robotics revolution!
https://t.co/MFSwcstcNR
Today @MeckaAI is announcing $60M in funding to become the data and deployment layer for physical AI
This raise will allow us to scale our data infrastructure, invest into new verticals, and deploy robots into the real world