One week until our Scientific Discovery Hackathon at @TechweekBoston. We're bringing together researchers & engineers building at the frontier of agentic AI & scientific discovery. We hope you'll join us! Spots are limited. RSVP here: partiful.com/e/QE3rf39P03sCE…

Our Scientific Discovery Hackathon at @techweekbos kicking off this morning! Researchers & engineers are coming together to explore what's possible at the frontier of agentic AI & scientific discovery. Excited to see the ideas, collaboration & breakthroughs that emerge over the course of the day. Let the building begin! #TechWeekBoston

Join a team turning bold ideas into real world impact. At Flagship, we build transformative companies developing bold solutions to the world’s greatest challenges. Hear directly from members of the Flagship team about their experiences and explore opportunities to join us. Learn more: bit.ly/47IQqbs #WeAreFlagship #BiggerLeaps

AI is reshaping how breakthrough ideas become real-world platforms. At @Flagship_PI , we’re building the systems and capabilities powering AI-native innovation across the Flagship ecosystem. If you want to work on ambitious AI problems, explore our open roles: flagshippioneering.com/join/…

Join us for the Scientific Discovery Hackathon at @TechweekBoston, where teams will build autonomous AI agents that hypothesize, experiment, write & review scientific papers in a shared ecosystem. If you're building at the frontier of AI-driven science, this is the room to be in. #BosTechWeek. RSVP here: partiful.com/e/QE3rf39P03sCE…

AI is reshaping how life sciences companies are built. @FlagshipPioneer @AWS bring scalable cloud AI capabilities to power AI-native platforms—accelerating discovery and breakthrough development.

⭐ 5 Takeaways from Flagship’s 2026 AI Summit ⭐ During our 2026 AI Summit this week, we explored the polyintelligent future— where human, machine, and nature work together as one. Here are five takeaways. 1. Polyintelligence is more than an intersection — it’s an unlock. Polyintelligence is a dynamic integration where each intelligence unlocks and accelerates the other. Human insight informs better models, models accelerate and guide stronger experiments, and experiments reveal deeper biological truths. In turn, polyintelligence enables a new form of intelligence altogether, one that combines the strengths of humans, machines, and nature. 2. Acceleration and discernment must be in balance. AI is making exploration effectively limitless, shifting the challenge from generating ideas to determining which questions actually matter. Real progress will come from balancing the speed of discovery with the discernment to ask the right questions, guide what data is gathered, and focus on what is most impactful. Without that balance, we risk amplifying noise over insight. With it, we can turn AI’s limitless possibility into meaningful insights and, ultimately, a healthier future. 3.Breakthroughs demand integration, not isolation. The most important breakthroughs are happening at the intersections of disciplines, yet our collective knowledge often remains siloed, which limits innovation. The real fix will require prioritizing integration and experimentation. AI-native institutions will combine human and machine intelligence into a unified, interconnected system for learning and execution. 4. AI is converting agricultural signals into early warning systems. Farms, crops, soil, and livestock constantly generate signals about environmental stress and ecosystem change, but historically these signals have been local, fragmented, and reactive. AI is unlocking the ability to interpret these signals at scale, transforming dispersed agricultural data into early warning systems for risks like soil degradation and disease. This application turns agriculture into a predictive system that can detect, respond to, and prevent disruption before it occurs. 5. AI reveals what we didn’t know to look for. Our understanding of nature’s systems is fundamentally limited by how we observe and interpret the world, which we filter through human understanding, assumptions and biases. As a result, we may overlook signals or patterns that seem ancillary but might offer an unlock. AI offers a way to begin closing that gap by integrating diverse data and surfacing patterns we wouldn’t recognize, offering a holistic analysis of the tools and systems nature has evolved. The future of AI will not be built in isolation, but through the synthesis of tools, intelligences, and partners coming together to create something greater. Our 2026 AI Summit brought this to life—surfacing new questions, exploring bold ideas, and highlighting the opportunities ahead.

Join us today at 11:10 AM ET for a livestream from our 2026 AI Summit. Flagship’s Molly Gibson will sit down with panelists @seemaychou (@ArcadiaScience ), @JCoolScience (@AnthropicAI ) and @allmeasures (@leashbio) for a conversation on exploring the challenges of understanding nature’s intelligence, and how AI can help turn those insights into real-world solutions. Tune in to our X, LinkedIn, or YouTube channels to watch.

Nature encodes function in many languages—from protein sequences shaped by evolution to animal communication and the chemistry of smell. Each is expressed through high dimensional patterns that are experimentally accessible yet resist neat, human-legible interpretation. In our upcoming livestream from the annual Flagship AI Summit, panelists @seemaychou (@ArcadiaScience ), @JCoolScience (@AnthropicAI), @gibsmk (Flagship Pioneering), @allmeasures (@leashbio) will explore how modern AI can decode these patterns and re-encode them into new designs. Stay tuned for details on how to watch on March 25th.

AI has the potential to transform industries and today, with the launch of #FlagshipFounded @Extuitive_Inc , consumer product innovation and marketing are the next frontier. Congratulations to the Extuitive team on this exciting milestone. #FlagshipFounded

"Machine Learning models in structural biology struggle with large complexes: running out of memory, cropping structures down, omitting bigger structures, expensive inefficient trainings. Our @Flagship_PI team worked on Flash Invariant Point Attention (FlashIPA) -- an efficient form of geometric deep learning for proteins and RNA that allows for efficient training, allowing to train on previously unattainable sizes."

In hosting our second Artificial Intelligence Summit, we reflect on the central "what if" question that fueled the founding of @Flagship_PI 2 years ago - what if we could harness the latest AI advances to create breakthroughs and accelerate innovation across @FlagshipPioneer ? Today we are seeing that vision play out as we advance fundamental research and help shape a portfolio of AI-first companies that are pushing the boundaries of innovation. We invite you to watch some highlights below.

And we’re off!  Lots of excitement in the room for today's @FlagshipPioneer Artificial Intelligence Summit. Curious about the advances driving AI and discovery? Watch here for insights and more to come. #FSPAISummit

Tomorrow we’ll convene AI/ML thought leaders from across academia and the technology, pharmaceutical and biotechnology sectors for our Artificial Intelligence Summit. From novel applications of AI and the strategic integration of AI agents to value creation and the trends shaping the next 5 years, we’ll cover it all. Stay tuned as we share key takeaways from the day and highlight insights shared by our speakers including John Brownstein (@BostonChildrens), Najat Khan (@RecursionPharma), David Yang (Newo.AI), John Halamaka (@MayoClinic), Chris Bishop (@Microsoft) and more. #FSPAISummit