(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…

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)

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

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

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

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

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

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🎯 1/3

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

(2/3) Key takeaways from PyData & how we're translating them at Atinary: 🔹 Connect digital AI layers to closed-loop lab hardware 🔹 Shift toward conversational, agentic architectures 🔹 Simplifying core systems to maintain high velocity & stability without legacy tech debt

(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/

Back from @PyData Amsterdam! 🇳🇱 Our ML engineers shared how we serve personalized ML at scale in #SDLabs: - Rayan Daod Nathoo on evolving runtimes for low-latency ML predictions - Daniel Pacheco Gutierrez on the Stable Matching Problem (1/3)

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