The AI operating system for drug development

Perceptic connects evidence, data, decisions, and workflows across the drug development lifecycle, so every insight compounds.

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The shift

The evidence was always there. The tools to connect it weren't. Now they are.

Drug development's hardest problems won't be solved by faster workflows. They'll be solved by decisions that draw on everything an organization knows, made by people with the intuition to see what matters.

Perceptic is the AI connective tissue that makes those decisions possible: we unify evidence, data, and reasoning across teams and tools, so insights from one corner of the organization can shape choices in another. We extend the infrastructure scientists already rely on, add traceable decision workflows, and learn continuously from their work, so the full weight of the organization's knowledge stands behind every call.

Platform

One intelligence layer across the drug lifecycle

Perceptic provides the mission control for the full drug development lifecycle. Our platform unifies asset scouting, scientific evaluation, and clinical data foundations on a shared transparent intelligence layer: one system where every insight compounds and every decision draws on the full picture.

SOC 2 Type 2

(01)

Evidence

Structured context is built by unifying knowledge from internal records, publications, clinical history, and competitive intelligence - then sharpened with your team's tacit knowledge, expertise, and judgment.

(02)

Reasoning

Specialist AI workers bring clarity to complex processes by selecting relevant evidence, testing assumptions, identifying gaps, and structuring conclusions - with your team following the logic, encoding new strategies, and providing guidance.

(03)

Decisions

Your team approves and carries conclusions forward, confident every call is data-backed and grounded in the full picture - while the platform ensures insights compound and decisions stay transparent and traceable.

Team

Built by operators who have deployed AI where it matters

Our team has spent years building and deploying production AI systems in some of the world's most complex and sensitive enterprise environments. We have seen where AI succeeds, where it breaks, and what it takes for serious organizations to trust it.

Now we are applying that experience to drug development.

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The Perceptic team

Founders

Dr. Tilman Flock

I'm the Co-Founder and CEO of Perceptic, the AI operating system for drug discovery and development. Before founding Perceptic, I spent nearly 20 years as an academic at Caltech, Cambridge, and ETH Zurich, publishing more than 25 scientific papers, including three in Nature. I later led AI-driven strategy and business development for Life Sciences at Palantir. Drawing on experience both inside and outside the lab, I co-founded Perceptic to build a unified intelligence layer for pharma, transforming fragmented workflows into systems where insight compounds instead of getting lost across handoffs.

Zaki Trache

I'm the Co-Founder and CPO of Perceptic, the AI operating system for drug discovery and development. Before founding Perceptic, I worked at Palantir at the intersection of AI and enterprise software, where I saw what it takes to turn ambitious technology into systems that hold up against the demands of large, complex organizations. That experience left me wanting to build something purpose-built for pharma, where fragmented workflows and long timelines make every decision higher-stakes than it looks.

Martin Copes

I spent 6+ years at Palantir leading teams building the data and infrastructure foundations behind complex enterprise AI systems, including the first public release of Palantir AIP. I worked directly with C-suite stakeholders as the platform moved from early deployments to launch, learning what it takes to turn ambitious technology into reliable systems people can use every day.

At Perceptic, I'm applying those lessons to drug discovery and development. I'm focused on helping scientific teams connect evidence, reasoning, and action across their most important workflows. I'm also an inventor on five patent publications spanning data pipelines, contextual systems, and workflow interfaces. What drives me is building technology that gives scientists more leverage in the decisions that matter most.