PandaOmics Agent: rebuilding target discovery around an AI agent
We rebuilt PandaOmics from the ground up. Join the team behind the redesign for a first look at the new agentic workflow, the models powering it, and what changes in your daily research.
Missed it live? Watch the full session on demand — the new agentic workflow, the models powering it, and what changes in your daily research.
Free · Recording and slides sent to all registrants
Free · Slides and migration guide included
What you'll take away
See the agentic workflow end to end
A full target discovery run — from a research question to a ranked, evidence-backed target list — without stitching analyses together by hand.
Look under the hood at the new model stack
Which models we moved to, why, and how we evaluate their output against the benchmarks your team already trusts.
Understand what we kept, rebuilt, and removed
Every call we made in the redesign, and the reasoning behind it.
Know exactly what happens to your existing work
Saved projects, custom scores, exports and API access — what carries over and what changes.
Answered liveAsk the team directly
15 minutes of live Q&A with the people who built it.
Live onlyStart from your question, not from a menu
PandaOmics was designed when target discovery meant running analyses one at a time and assembling the picture yourself. That's no longer how research works.
PandaOmics Agent starts from your question, not from a menu.
screenshot goes here
screenshot goes here
Before / after of the real interface. Replace both frames with approved product screenshots before publication.
AgendaRecording timecodes
| TimeTimecode | Block |
|---|---|
| 00:00 – 05:00 | Why we rebuilt PandaOmics |
| 05:00 – 20:00 | Live demo: from research question to ranked target list |
| 20:00 – 32:00 | Under the hood: the new model stack and how we evaluate it |
| 32:00 – 40:00 | What's new, what's improved, what's gone |
| 40:00 – 45:00 | Migration: your projects, your data, your API |
| 45:00 – 60:00 | Live Q&A |
The models behind the agent
A short preview — the full architecture and our evaluation results are covered live.
Reasoning layer
Plans the analysis, decides which steps to run, and explains why.
Target scoring
Our in-house models, retrained and re-benchmarked for the new pipeline.
Literature & evidence
Retrieval over the full corpus, with traceable citations for every claim.
Generative chemistry hand-off
How the agent passes validated targets downstream.
Layer names are placeholders — replace with the real model and layer names before publication.
Who this is for
- Computational biologists and bioinformaticians working on target identification
- Drug discovery teams evaluating AI-driven discovery platforms
- Current PandaOmics users planning their transition
- Research leads deciding where to put next year's discovery budget
Speakers
Leads target discovery research at Insilico Medicine.
Ran the redesign from user research to release.
Designed the agentic interface.
Moderated by [Name], [Role]. Replace bracketed names and add approved square portraits before publication.
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