Chemical safety assessment today is slow, costly, and fragmented—held back by siloed data streams and workflows that haven’t kept pace with scientific complexity. While many in the field focus on automating report generation, this webinar introduces a different paradigm: an agentic operating system where AI agents collaborate with toxicologists rather than replace them.

What does “agentic” truly mean beyond the buzz? Through live demonstrations, Thomas Luechtefeld, PhD, CEO and Founder of Insilica, will show how autonomous systems can reason across heterogeneous scientific evidence, surface insights before they’re requested, and accumulate institutional knowledge over time. He’ll explore the architectural and epistemic shift from treating AI as a prediction tool to designing AI as infrastructure—an approach that becomes essential in domains where accuracy directly impacts regulatory decisions and public health.

Attendees will learn:

1. Why autonomous agents require fundamentally different architecture than traditional machine‑learning pipelines
2. How AI systems can retain and build on organizational knowledge instead of starting from scratch
3. What “production‑ready” looks like when outputs must withstand scientific and regulatory scrutiny
4. A live demonstration of an AI agent reasoning through a toxicology question in real time
5. The real limitations of current agent architectures—and where the technology still falls short

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