AI for Science Unknown

Ångström AI

Physics-constrained generative molecular simulations for preclinical drug research

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PricingUnknown
Starting priceContact sales
Free planNo
Free trialYes
APIUnknown
Open sourceNo
DeploymentCloud
Last verifiedJuly 30, 2026
Overview

Tool overview

Ångström AI is listed under AI for Science AI tools.

Summary

What is Ångström AI?

Ångström AI replaces selected wet-lab measurements with fast molecular simulations that combine quantum-accurate physics models and generative AI. The platform targets solubility, lipophilicity, crystal stability, binding, and related drug-development properties.

Best fit

Best for

Pharma and biotech teams evaluating molecular properties before wet-lab studies

Audience

Who is it for?

Drug discovery scientistsComputational chemistsPharmaceutical R&D teamsBiotechnology companiesMolecular modeling groups
Recommendation

Decision note

Suitable for evaluation after confirming final commercial terms, permissions, data handling, lifecycle status, and edit-screen aliases. Keep Needs Review enabled until a human verifies the published profile.

Capabilities

Key features

Quantum-accurate machine-learning force fields

Generative acceleration of molecular simulation sampling

Solubility and hydration-free-energy estimation

Lipophilicity and crystal-stability modeling

Physics constraints that reduce generative hallucinations

Custom pilots for pharmaceutical pipelines

Workflows

Use cases

Prioritizing preclinical drug candidates

Estimating molecular solubility

Studying binding and molecular interactions

Evaluating crystal-form stability

Reducing selected wet-lab experiments

Strengths

Pros

  • Built by Cambridge molecular-modeling researchers
  • Published experimental-accuracy scientific results
  • Physics constraints improve simulation reliability
  • Can accelerate simulations by more than an order of magnitude
Considerations

Cons

  • Pricing requires a custom project
  • Simulation scope is specialized
  • Computational results still require scientific validation
Considerations

Limitations

Ångström simulations do not replace all experiments, toxicology, clinical evidence, or regulatory review. Scientists should validate model applicability, uncertainty, force fields, compound preparation, experimental comparison, and every development decision.

Cost

Pricing details

Pricing modelUnknown
Starting priceContact sales
Free planNo
Free trialYes
Pricing context

Billing options

Custom research projectPilot engagement
Pricing context

Pricing note

Ångström works with pharmaceutical and biotechnology teams through demos, pilots, and custom simulation projects. No standardized public subscription, ongoing free plan, or self-service trial is published.

View official pricing
Compatibility

Supported languages

  • English
Connectivity

Integrations

MACE physics models

Pharmaceutical discovery pipelines

Experimental data comparison

Specs

Technical details

PlatformsWeb
Multilingual supportUnknown
Login requiredUnknown
Open sourceNo
DeploymentCloud
CompanyÅngström AI
Launch year2024
Models / versionsMACE Flow Annealed Importance Sampling Bootstrap SE(3) Equivariant Coupling Flows
Editions / plansFree, Basic, Professional, Organization, and Custom plans
Data confidenceHigh
Last verifiedJuly 30, 2026
Documentation → Data source →
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Answers

Frequently asked questions

Ångström AI replaces selected wet-lab measurements with fast molecular simulations that combine quantum-accurate physics models and generative AI. The platform targets solubility, lipophilicity, crystal stability, binding, and related drug-development properties.
Pharma and biotech teams evaluating molecular properties before wet-lab studies
The listed pricing model for Ångström AI is Unknown. Pricing can change, so users should verify the latest plan details on the official website.
Yes. The current profile indicates that a free trial is available.
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