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scientific superintelligence

London, UK
Joined August 2024
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Introducing PercepticOS. The world鈥檚 first OS for Scientific Superintelligence. A shared workspace where AI does the groundwork, exploring more hypotheses so scientists can focus on their intuition and critical judgment. Already working at leading Pharma companies and biotechs.
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Why you shouldn鈥檛 use generalist tools for specialist R&D workflows 馃К We ran PercepticOS on GPT-6 Astra and compared it with GPT-6 Astra鈥檚 published scores. Same model, so the difference comes from PercepticOS. It scored higher on all three benchmarks 馃У
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That gives the whole team one argument to work on. Biologists, clinicians and commercial leads challenge the claims in their own area and make the call together, and the reasoning stays with the team for the next decision.
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We just got back from our first offsite in Valencia with the whole Perceptic team. In January we could all fit around one table. This time there were almost 20 of us, and many more people are starting soon! We spent two days getting to know each other properly, exploring the city and learning how to cook paella from the locals. Getting a paella right takes the same things we need at work. Everyone owns their part, nobody waits to be told, and you trust the person next to you not to burn the rice. That鈥檚 the team we鈥檙e building. Mission-oriented, proactive people who want to shape what Perceptic becomes, and put their best work into one of the hardest problems out there, which is getting better medicines to patients faster. If that sounds like your kind of team, we鈥檙e hiring. Open roles are linked in the comments 馃憞
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More AI. More tools. Same silos. Drug development doesn鈥檛 need another point solution. It needs one place where R&D and commercial teams decide together. PercepticOS works with what you already have: any model, any cloud, the tools your scientists trust. Learn more: perceptic.com/os/
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A shared workspace bringing individual R&D decisions into one unified institutional intelligence layer. Instead of fragmented AI point solution that do not really change how biopharma works today.
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Think building blocks for scientific work. Connect literature, databases, specialist tools and your internal systems through plugins. Add your own tools and models. Build around how your scientists work.
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Every scientific question opens new branches. AI agents search the literature, run analyses and connect claims to evidence in parallel. Scientists challenge the reasoning, bring their intuition and decide which branches deserve a closer look. We鈥檙e already working with leading Pharma and biotech companies. We will share case studies and their impact over the coming months. Apply for access: perceptic.com/os/
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