AI Co-Scientist for Drug Discovery

PlayMolecule AITM is the first computational infrastructure for agentic superintelligence in molecular design.

Our foundational technology is already trusted by 18000+ researchers worldwide, as well as industry leaders.

Biogen
Pfizer
Psivant
Novartis
UCB

A Strategic Platform for R&D Leadership

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Automate R&D reasoning and execution

Shift from a costly single-crafted molecule approach to scalable, data-driven discovery.

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Make faster DMTA from weeks to hours

Slow, costly Design-Make-Test-Analyze cycles become efficient, automated iterations.

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Augment human scientists skills

Discovery is bound to talent, hard to hire and retain. Push the barrier from talent-bound to compute-bound.

PlayMolecule™ Tools: Your Integrated AI Drug Discovery Platform

We've built and validated a full suite of computational tools, all unified under our natural-language AI interface.

24 tools. One AI interface.

ProteinPrepare SystemBuilder MembraneBuilder AceDock DeepSite AceBoltz ACEMD QuantumBind RBFEMap AcePockets PlexView +13 more →
Explore all tools

Data Search and Comprehension

Obtain rapid, verifiable answers from both public and proprietary data sources.

Example Prompt:

"Based on the literature, compare the binding pockets of D3R and D2R and summarize the main structural feature that could be exploited for ligand selectivity."

Proprietary Hit Discovery Pipeline

Screen vast chemical spaces and identify promising lead candidates.

Example Prompt:

"This is the SMILES code of a potent ITK inhibitor:

C[C@@H]12Cc3[nH]nc(C(=O)Nc4cnn([C@H](c5ccccc5)
[C@H])5CCCCS5(=O)=O)c4)c3C[C@@H]1C2(F)F

Search the top 100 compounds similar to it."

Lead Optimization & Generative Design

Leverage cutting-edge methods including Free Energy Perturbation (FEP/RBFE) and generative AI to design and refine potent drug candidates.

Example Prompt:

"Rank my list of ligands based on binding affinity via RBFE, targeting TYK2."

Molecular Dynamics & Structural Biology

Perform molecular dynamics simulations to understand protein flexibility, ligand binding kinetics, and allosteric effects.

Example Prompt:

"Build a 200x200 POPC membrane, build the complex system with my protein (3P0G) and the membrane oriented. Set-up the system and run it for 100 ns"

Plans

Open
Pro
Enterprise
SEATS
-
From 1 user
Custom
COMPUTE
Limited, Shared GPU Compute Resources
From 1 Dedicated GPU
On-Premise or Private Cloud Deployment
TOKENS
Up to 10M
Up to 1B
Custom
SECURITY
Standard Security
ISO 27001 Certified
ISO 27001 Certified
TOOLS
Open PlayMolecule Tools:
  • Protein preparation
  • System building
  • Membrane building
  • Ligand preparation
  • Ligand parameterization
  • pKa prediction
  • Binding-pocket prediction
  • PDB homology search
  • Docking
  • Boltz-2 pose and affinity prediction
  • Binding pose scoring
  • Molecule generation
  • Ligand pathway mapping
  • Interaction visualization
  • Basic MD simulation
Everything in Open, plus:
  • Advanced MD simulation
  • Loop/gap modeling
  • Pharmacophore map prediction
  • 3D similarity search
  • Moiety-based structure search
  • Residue environment search
  • Docking pose rescoring
  • Cryptic pocket mapping
  • RBFE calculation
  • RBFE network mapping
Everything in Pro
DATA
Access to Public Data
Access to Public Data
Proprietary Data Integration
SUPPORT
Community Support
Priority Support
Dedicated Scientific Liaison and Support

Science

Access the latest publications supporting our platform.

Thermodynamics-Informed Accurate pKa Prediction and Protonation State Generation in PlayMolecule AI.

Pesce, F., Farr, S., & de Fabritiis, G.

arXiv preprint, 2026

DOI: 10.48550/arXiv.2604.00841

Speak to a Protein: An Interactive Multimodal Co-Scientist for Protein Analysis.

Navarro, C., Torrens, M., Thölke, P., Doerr, S., & de Fabritiis, G.

arXiv preprint, 2025

DOI: 10.48550/arXiv.2510.17826

QuantumBind-RBFE: Accurate Relative Binding Free Energy Calculations Using Neural Network Potentials.

Sabanés Zariquiey, F., Farr, S. E., Doerr, S., & de Fabritiis, G.

Journal of Chemical Information and Modeling, 65(8), 4081–4089, 2025

DOI: 10.1021/acs.jcim.5c00033

FAQs

What is included in an Enterprise plan?

Enterprise plans are an all-inclusive solution tailored to your team. They typically include dedicated compute resources (on-premise or private cloud), full access to our entire platform of AI Drug Discovery Tools, our proprietary data integration services, team-wide licensing, and a dedicated scientific liaison for onboarding and support.

How will you help my team get started?

We partner with you to ensure success. Every Enterprise plan includes dedicated onboarding sessions led by our scientific liaisons. We'll work directly with your team to integrate your workflows and data. You'll have a direct line for both technical support and scientific consultation to help you get the most out of the platform for your specific R&D targets.

What are "Data Integration Services"?

Our team helps you securely connect your proprietary datasets (e.g., experimental results, compound libraries, genomic data) to our platform, ensuring the AI models can work effectively with your specific information.

How secure is my data?

Data security is our top priority. Our cloud plans use industry-best encryption and security protocols. For maximum control, our Enterprise plan offers an on-premise solution where your data never leaves your infrastructure.