What if a lab could think for itself? ๐ง
Meet MixMax, our 2021 #SelfDrivingLabs prototype running the full autonomous DMTA+L (Design-Make-Test-Analyze + Learn) loop from scratch.
#SDLabs brings this iterative discovery into your existing workflows. Watch it in action! โฌ๏ธ
A bicycle doesnโt replace the rider. By combining #PhysicalAI with robotics, Atinary's #SelfDrivingLabs don't replace scientists, we augment them.
It's the ultimate vehicle to accelerate discovery from years to weeks. ๐
๐๏ธ Watch the full AWS discussion: https://t.co/r5DmSkAwZK
For #WorldBicycleDay, we're taking Steve Jobsโ "bicycle for our minds" analogy straight into the lab. ๐ฒ
At our #AWS roundtable, Anders Lindh (#MettlerToledo) shared a compelling parallel: "Self-Driving Labs is the bicycle of the scientist." It multiplies human effort.
To ensure scientists actually adopt #SelfDrivingLabs, we focus on 3 execution pillars:
๐น Target real pain points over tech hype
๐น Start small with high-impact use cases
๐น Augment Product Owners
This is how we drive exponential science. Let's build it.
A clear shift at @FutureLabs_Live last week: the question is no longer: Can we use AI? but How fast can we scale autonomous R&D?
The bottleneck isn't tech. It's change management. Our 12-month journey to opening #SelfDrivingLabs shows ecosystem collaboration is the way forward.
Great day at @sfnvalley! A key pillar of the "Nutrition Touchpoint Journey" centers on innovation, advanced formulations & novel ingredients ๐ฑ
Atinary's #SelfDrivingLabs turn these R&D goals into reality by accelerating discovery with #PhysicalAI ๐
๐https://t.co/Oxdhp5aaPv
A Big Pharma client surprised by their own results: 3 weeks. 1 campaign. ๐งช
Using Atinaryโs code-free AI platform, they mapped a high-dimensional space to find a higher-performing, greener reagent their team wouldn't have found alone.
SDLabsยฎ. Self-Driving Labsยฎ technology.
Meet us next week at #FutureLabsLive Basel! ๐จ๐ญ
Don't miss our fireside chat (May 28, 13:50) with @Chemspeed & Toolpoint: "From Automation to Autonomy: The Rise of Self-Driving Labs."
The future of discovery is autonomous. Letโs build it together.
#PhysicalAI#SelfDrivingLabs
We welcomed Prof. Tonio Buonassisi to present his research on solar cells using our #SDLabs platform โ๏ธ
Perovskites are a game changer for solar energy, but poor reproducibility remains a barrier to commercialization.
See how we accelerated this study ๐
#SelfDrivingLabs
Impact?
1โฃ Speed: Delivered a full optimization campaign in a 4-week window.
2โฃ Efficiency: Mapped a 5D space in only 33 experiments.
3โฃ Reproducibility: Proved that precise environmental control is the secret to turning experiments into reliable, mass-produced solar technology.
Great hosting the @mettlertoledo team at our Swiss office! ๐จ๐ญ
We discussed next steps in our collaboration to showcase #PhysicalAI in action. From our Boston lab to our very first #SelfDrivingLabs - MixMax, a closed-loop DMTA+L setup for color mixing & optimization. ๐งช
Imagine a film camera for an action shot, waiting days for prints only to find the focus was off.
#AIDoE brings the real-time focus R&D needs, ending manual guesswork to compound learning via #SelfDrivingLabs.
๐ Our playbook: https://t.co/w8vCXimDJR
#ExponentialScience ๐
Imagination matters, but action turns ideas into reality.
Traditional R&D is too slow. Most labs run robots without an AI layer, systems that execute but never learn. We built #SelfDrivingLabs to close the loop via #PhysicalAI.
May curiosity be with you: https://t.co/anbjJ4Ugkm
Thrilled to speak with @nabilwrites@enginespod on how Atinary is generating high-quality experimental data that AI actually learns from.
Goal: accelerate R&D + redefine the economics of discovery with #SelfDrivingLabs#PhysicalAI ๐
Take a look: https://t.co/VkPvPAkLxv
I went to America's largest lab automation conference (@SLAS_Org) to see the bleeding edge of lab automation first-hand.
Three things stood out: a big focus on instrument interoperability (shoutout @SiLAStandard, @UniteLabs_), new efforts to generate large experimental datasets (shoutout @AtinaryTech), and the big bet many are chasing โ fully autonomous science (a la @Ginkgo x @OpenAI's recent collab on cell-free protein synthesis).
The excitement is real. And, so are the risks if we take our eyes off the less glamorous parts of the R&D process โ like optimizing clinical trials.
Join me inside SLAS. Full vid: https://t.co/G7DPgIpAcu
What does it take to build #SelfDrivingLabs? Vision and a village of 60+ partners, advisors, and believers.
Our Founders are bringing #PhysicalAI to the lab, integrating robotics so scientists can focus on creativity and insight. Itโs here.
Read our blog https://t.co/8qvpaVm8ci
Why do we innovate?
To discover medicines, clean energy, and sustainable tech. Faster, Smarter, Bolder.
We augment scientists with #PhysicalAI and an ecosystem of partners to reimagine the modern lab.
For a new era of exponential science! โจ
#SDLabs#SelfDrivingLabs
The best way to accelerate R&D? A connected ecosystem. ๐ค
Highlights from our recent event with @AWS, bringing together scientists, engineers, and partners to shape the future of AI in Science.
Watch the recap below! ๐ฅ
#SDLabs#SelfDrivingLabs#PhysicalAI