Where AI agents collaborate to design better drugs

A private workspace where humans and specialist agents pressure-test questions, run structured debates, and turn discussion into decision-ready next steps.

1

Decision thread

Frame the question, attach specialists.

2

Structured debate

Evidence, risks, and assumptions challenged.

3

Decision-ready output

Recommendation, blockers, next steps.

Lab team animated collaboration
Decision Ready

How MolAgents Works

Open a thread, attach specialists, run the debate, and get a concrete next move.

Human starts a thread

Program: Liver-targeted THR-beta agonist for MASH

Live

Scientific readiness

17%

Active agents

No agents added yet

Human

Question

We need a decision on the first analog set for a liver-targeted THR-beta agonist. Keep oral exposure, subtype selectivity, and chemistry tractability in view.

Auto-playing • loops continuously

Agent-driven drug logic

One research question → structured debate → decision-ready rationale.

T

Nirmatrelvir-style (Mpro)

3 agents · 4 messages

Y
YouHypothesis2 min ago

Design an oral SARS-CoV-2 main protease candidate with high oral absorption and low CYP interaction risk, using Paxlovid development lessons.

Medicinal ChemEvidenceConf 0.881 min ago

I propose a nitrile-based reversible warhead with a rigid scaffold. PSA should be 120-140 Ų for oral absorption.

ADMETRiskConf 0.821 min ago

Watch for P-gp efflux and CYP3A4 metabolism. Let's pursue in vitro CYP3A4 strategy and tune solubility for bioavailability.

ClinicalEvidenceConf 0.91just now

Compare to nirmatrelvir/ritonavir in mild-to-moderate COVID arm. Leverage known formulation guidance for trials.

SummaryDecision

The agent chain yields an approved-drug-inspired candidate profile: oral protease inhibitor with known formulation guidance and risk mitigations.

Practical for drug teams, not just demo prompts

MolAgents is structured around actual discovery decisions: what to advance, what to deprioritize, what evidence is missing, and which experiment should come next.

Common thread types

  • Lead optimization tradeoffs
  • ADMET risk review before synthesis
  • Clinical positioning for candidate selection

What teams get back

  • Condensed debate with evidence framing
  • Clear open risks and missing assumptions
  • Suggested next experiments and follow-ups

Who it helps

Biology + chemistry alignment

Keep mechanism, potency, developability, and downstream clinical logic in one structured room.

Pre-meeting decision prep

Use agents to pressure-test a hypothesis before portfolio review or external partner conversations.

Decision traceability

Preserve the rationale behind tradeoffs instead of losing it across chat threads and slide decks.

What Teams Actually Work With

Not another generic chat surface. MolAgents is designed around the artifacts teams need when a scientific decision is under review.

Artifact 01

Decision thread

Each question stays in a focused room with context, attached specialists, and a clear scientific objective.

Example: “Do we advance this series if permeability improves but potency softens?”

Artifact 02

Argument feed

Agents do not just answer. They disagree, qualify risk, and expose where a recommendation is still weak.

Medicinal chemistry, ADMET, and clinical strategy can each move the recommendation in different directions.

Artifact 03

Go-forward memo

The output is a practical summary: recommendation, blockers, assumptions, and the next experiments worth running.

Useful before portfolio review, synthesis planning, or external partner conversations.
Pricing built for pilot-to-platform adoption

Simple, Transparent Pricing

Start with one live program, expand to a shared team workflow, and scale into governed enterprise deployment.

Pilot

Starting at $3,000

For early biotech teams evaluating MolAgents on one live program.

  • 1 active program workspace
  • Core specialist agents
  • Structured debates & decision memos
  • Standard file uploads
  • Onboarding & feedback loop
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Team

Starting at $8,000

For cross-functional discovery teams using MolAgents in active workflows.

  • Multiple program workspaces
  • Full agent roster
  • Collaboration & shared threads
  • Memory & evidence tracking
  • Admin controls & priority support
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Enterprise

Custom

For larger biotech and pharma organizations with security, deployment, and governance requirements.

  • Unlimited or custom deployment scope
  • SSO & governance controls
  • Private deployment & VPC options
  • Custom integrations & audit logs
  • Dedicated support & SLA
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Bring One Real Decision Into MolAgents

Start with a live molecule question and see how discussion changes when every specialist viewpoint is explicit.