The pioneers of Self-Driving Labs, integrating AI and robotics to accelerate scientific discoveries and innovation exponentially.
Lausanne and Silicon Valley
Joined December 2020
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Why are Buchwald-Hartwig reactions hard to optimize? Millions of ligand, base & solvent combos mean trial-and-error takes months.
Think of #SelfDrivingLabs as GPS for chemistry: mapping reaction spaces, running tests & recalculating routes to reach breakthroughs faster! (1/2)
(2/2) What AI-guided workflow could look like for optimizing Buchwald-Hartwig reactions:
1️⃣ Reaction Space Mapping
2️⃣ Active ML Parameter Screening
3️⃣ Catalyst & Precious Metal Optimization
Check out the Part2 video above! ☝️
Missed Part1? Catch up here: xitter.cf/AtinaryTech/status/210…
Software should accelerate science, not slow it down.
Episode 2 of Voices of SDLabs® is out! 🎬
Kim Andersen (Product Manager) shares how our scientist-first #SDLabs platform uses agentic AI & active learning ML to reduce R&D friction & augment scientists.
#SelfDrivingLabs
Incredible energy at @ForumEPFL 🚀
Thank you to everyone who visited our booth. Great discussions around our #SelfDrivingLabs mission to augment scientists with AI & robotics to accelerate scientific discovery.
Join us: atinary.com/careers/
#SDLabs #ExponentialScience
From pharmaceuticals and crop protection agents to OLED displays on our smartphone screens, C-N bonds form the backbone of modern materials.
In 1994, Profs. Stephen Buchwald & John Hartwig introduced palladium catalysis, giving scientists a gentle way to form C-N bonds. 1/2
With millions of parameter combinations, optimizing these reactions remains a bottleneck.
We’re proud to have Prof. Buchwald on our Scientific Advisory Board as we bring AI, #SDLabs & #SelfDrivingLabs technology to navigate these complex spaces faster! Stay tuned for Part 2! 2/2
Reflecting on 2 inspiring days @ Ilmac. Key themes on AI/ML in life sciences:
1. Real-time analytics + active ML shift workflows from passive monitoring to active guidance 💡
2. Predictive models make it realistic to test significantly more hypotheses within timeline+budget🎯
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3. Closed-loop automation isn't about replacing human intuition. It's about trusted models that learn from every run 🔄
4. Real-time sample tracking, metadata capture & remote monitoring give teams total operational awareness to run reliable automated workflows ⚡
2/3
At Atinary, SDLabs® combines Physical AI & robotics to augment scientists & drive a Moore's Law of Discovery 🚀
Thank you at Ilmac, @BioAlps & @SwissChemistry for great discussions!
👉 Explore closed-loop R&D: [email protected]
3/3
Introducing #VoicesofSDLabs: Episode 1
No custom programming. No coding. Built for scientists to focus on science.
Cur Co-Founder & CTO @loic_roch explains how #SDLabs provides the infrastructure for autonomous discovery – augmenting scientists to accelerate R&D.
#SelfDrivingLabs
Join next week’s webinar with @Agilent on how we deploy #SelfDrivingLabs!
Experts from Agilent & Atinary reveal how the first fully integrated Self-Driving Lab for small molecule organic synthesis was designed & deployed to augment scientists.
Register: event.on24.com/wcc/r/5464550…
Shape the future of R&D with us! 🚀
Join the Atinary team at Forum EPFL 2026 on Oct 6 to explore careers in AI, robotics & #SelfDrivingLabs.
📍 Stand R46 | @SwissTech_EPFL - Lausanne
🔗 Open positions: tinyurl.com/3t9wrkkv
#ForumEPFL #TechJobs
#SDLabs #ExponentialScience
(3/3) We build & enable #SelfDrivingLabs to augment scientists with #PhysicalAI & robotics to accelerate discovery 🚀
Want to solve hard engineering problems? Join our team in Lausanne 🇨🇭 (working alongside our Boston team 🇺🇸)!
Visit our Careers page: atinary.com/careers/
We're connecting across pharma & chemistry hubs in the next 2 weeks!
Meet our team:
📍 AFCAD Days: Lausanne | Sep 23-24
📍 Ilmac: Lausanne | Sep 23-24
📍 ISPE: Zurich | Sep 29-Oct 1
🎤 Talk w/ ABB: "From Automation to Autonomy: The Rise of Self-Driving Labs"
#SelfDrivingLabs
Atinary kicked off @BiopoleLausanne's AI Exchange Forum! 🚀
Our team covered:
• R&D AI adoption & #SelfDrivingLabs
• Math & surrogate modeling in Bayesian Optimization • #SDLabs applications: cell line optimization & 7D spaces with 2.9B combos!
📸 Credit: @BiopoleLausanne
Transatlantic co-innovation 🇨🇭🇺🇸
Lausanne colleagues joined our #SelfDrivingLabs in Boston for workshops & #SDLabs user meetings.
For non-chemists, seeing agentic AI orchestrate robotics for Buchwald-Hartwig reactions was a highlight – augmenting humans to accelerate science 🚀
Heading to @Technobis' process chemistry & lab automation workshop in Boston? 💡
John Lawton from Atinary will be attending! Meet John to connect on moving beyond traditional screening to closed-loop #SelfDrivingLabs.
🗓️ September 17
📍 Royal Sonesta Boston, Cambridge, MA
The energy transition starts in the lab.
From solar & batteries to CO2 conversion, clean energy needs faster R&D.
Our Co-Founder & CEO @HT_IC6 will be speaking next week at the Energy Forum 2026, hosted by @wef.
Session: The Next Wave of Energy Innovation 🌎
#SelfDrivingLabs