🚀 Excited to partner with TileDB and Tahoe Therapeutics! They are the ideal partners on our mission to build AI-native interfaces and infrastructure for AI agents to seamlessly interact with large-scale biological data. prnewswire.com/news-releases…

𝐖𝐞’𝐫𝐞 𝐞𝐱𝐜𝐢𝐭𝐞𝐝 𝐭𝐨 𝐰𝐞𝐥𝐜𝐨𝐦𝐞 𝐇𝐚𝐧𝐬 𝐁𝐢𝐬𝐡𝐨𝐩 𝐚𝐬 𝐚𝐧 𝐚𝐝𝐯𝐢𝐬𝐨𝐫 𝐭𝐨 @kepler_ai_ ! Hans has spent his career innovating at the forefront of life sciences—as CEO of @GrailBio , President and CEO of @JunoThera , and now President, Founder, and Board Co-Chair of @altos_labs . Few people have such a complete view of the challenges and opportunities across drug development and diagnostics. What excites us most is his belief, shared by our team, that AI is poised to revolutionize life sciences R&D. We look forward to learning from him as we build AI-native software for the life sciences. A heartfelt thank you to Hans for his support—we’re lucky to have you with us on this journey.

🧬 𝐊𝐞𝐩𝐥𝐞𝐫 𝐂𝐨𝐦𝐦𝐮𝐧𝐢𝐭𝐲 𝐒𝐩𝐨𝐭𝐥𝐢𝐠𝐡𝐭: 𝐀𝐜𝐜𝐞𝐥𝐞𝐫𝐚𝐭𝐢𝐧𝐠 𝐓𝐚𝐫𝐠𝐞𝐭 𝐏𝐚𝐧𝐞𝐥 𝐃𝐞𝐬𝐢𝐠𝐧 𝐰𝐢𝐭𝐡 𝐀𝐈 𝐚𝐠𝐞𝐧𝐭𝐬 𝐰𝐢𝐭𝐡 𝐃𝐫. @ShoujieChai 𝐅𝐫𝐨𝐦 18,000 𝐆𝐞𝐧𝐞𝐬 𝐭𝐨 𝐏𝐫𝐞𝐜𝐢𝐬𝐢𝐨𝐧 𝐌𝐞𝐝𝐢𝐜𝐢𝐧𝐞: 𝐇𝐨𝐰 @kepler_ai_ 𝐀𝐜𝐜𝐞𝐥𝐞𝐫𝐚𝐭𝐞𝐬 𝐓𝐚𝐫𝐠𝐞𝐭 𝐏𝐚𝐧𝐞𝐥 𝐃𝐞𝐬𝐢𝐠𝐧 Jack (Shoujie) Chai MD, PhD, a physician turned biomedical scientist, recently shared how he's using @kepler_ai_ to streamline target panel design—a typically weeks-long process that he completed in hours. Read the full case study here: getkepler.ai/news/kepler-com… 𝐓𝐡𝐞 𝐂𝐡𝐚𝐥𝐥𝐞𝐧𝐠𝐞: Designing cost-effective gene panels from 18,000+ candidates using mutation data from dozens of cancer studies is complex and time-consuming 𝐉𝐚𝐜𝐤’𝐬 𝐒𝐨𝐥𝐮𝐭𝐢𝐨𝐧 𝐰𝐢𝐭𝐡 𝐊𝐞𝐩𝐥𝐞𝐫: A 5-phase automated workflow completed in just hours: 📊 𝐏𝐡𝐚𝐬𝐞 1: Automated data integration from cBioPortal 🔬 𝐏𝐡𝐚𝐬𝐞 2: AI-driven mutation analysis by cancer subtype 🎯 𝐏𝐡𝐚𝐬𝐞 3: Smart optimization → 20/50/100 gene panels 🏭 𝐏𝐡𝐚𝐬𝐞 4: Target region selection and BED files generation ✅ 𝐏𝐡𝐚𝐬𝐞 5: Technical probe evaluation 𝐊𝐞𝐲 𝐨𝐮𝐭𝐜𝐨𝐦𝐞𝐬: - Reduced weeks of manual work to hours - Narrowed 18,000 genes to optimized panels with clear trade-offs - Generated manufacturing-ready specifications - Created a fully reproducible workflow Jack's case study demonstrates how Kepler AI democratizes sophisticated genomic analysis. What once required a team of molecular biologists and bioinformatic scientists can now be accomplished by individual researchers with agentic AI assistance. 👉 Read the full case study to explore Jack's complete workflow: getkepler.ai/news/kepler-com… #𝐏𝐫𝐞𝐜𝐢𝐬𝐢𝐨𝐧𝐌𝐞𝐝𝐢𝐜𝐢𝐧𝐞 #𝐀𝐈 #𝐆𝐞𝐧𝐨𝐦𝐢𝐜𝐬 #𝐂𝐚𝐧𝐜𝐞𝐫𝐑𝐞𝐬𝐞𝐚𝐫𝐜𝐡 #𝐊𝐞𝐩𝐥𝐞𝐫𝐀𝐈 #𝐁𝐢𝐨𝐢𝐧𝐟𝐨𝐫𝐦𝐚𝐭𝐢𝐜s

🧱 Building the Right Infrastructure for AI Agents in Life Sciences R&D Full blog: keplogic.substack.com/p/buil… At Kepler AI, we build enterprise-grade AI agents to accelerate scientific discovery. One key lesson: the infrastructure matters just as much as the AI itself. 🧵

🚀 GPT-5 is here — and now live in @kepler_ai_ ! With the launch spotlighting medical research use cases, we were eager to see how it performed on our internal benchmarks of real bioinformatics research tasks. We are impressed - here are some highlights on one research task on CELLxGENE: - Stronger expert-level scientific knowledge – now looks out for finer scientific details like cell subtypes. - More intent-driven conversations – instead of guessing and rushing, it confirms key parameters (species: human vs. mouse, cell subtypes, disease filters, metrics to report) before diving in. Asks the users a bunch more questions. - Fewer coding mistakes – especially when using specialized scientific packages. - But… questionable plotting choices. (Compact dot plot??) Request access today at app.getkepler.ai/ and automate your day-to-day bioinformatics tasks!

Since TahoeDive on @kepler_ai_ launched a month ago we have seen an overwhelming positive response from the community, with hundreds of researchers around the world performing massively parallel analyses on the rich Tahoe-100M perturbation dataset. Results are already going into cancer biology publications! Request access if you haven't yet: tahoebio.ai/tahoedive At Kepler AI we are building enterprise-grade agents for biological data analysis, speeding up bioinformatics by 10x and allowing you to unlock novel connections in your data. We would love to learn more about your bioinformatics needs! Please book a demo at getkepler.ai Thanks again to our friends at @tahoe_ai @iamjohnnyyu @nalidoust et al for this awesome collaboration!

🚀 Excited to announce our partnership with @tahoe_ai to launch TahoeDive: an integration of Tahoe-100M—the groundbreaking single-cell perturbation dataset—on the Kepler AI @keplogic platform. 🔍 Researchers can now: 💬 Ask questions in plain English 📊 Run complex analyses that would typically require a team of bioinformaticians 🔬 Instantly overlay insights from scientific literature on Tahoe-100M Request beta access: tahoebio.ai/tahoedive At Kepler AI, we’re building enterprise-grade bioinformatics agents to accelerate scientific discovery. Got a dataset or use case? Let’s talk → [email protected]

🧬 Biology has officially transitioned to the realm of big data and big models - Every week we hear about new exciting large-scale, high dimensional datasets and foundation models being released. But often times, ✨ scientific insights are still trapped behind: - ⚙️ complex compute environment configurations - 🛠 specialized tools and formats - 💻 programming & statistical knowledge. We asked the simple question - what if biologists can talk to the data directly? With Kepler, biologists can conduct 📊 complex bioinformatics analyses with 💬 natural language - in a seamless, scalable, and secure way. Learn more here: getkepler.ai/ We have a big announcement tomorrow, so stay tuned!

I’m excited to announce what @quinn_leng and I have been working nonstop on for the past 2 months - Kepler AI (@keplogic ) - enterprise-grade bioinformatics agents to accelerate scientific discovery! Here’s why: