AI Science platforms enhance scientific research and discovery through artificial intelligence. These tools provide advanced capabilities for data analysis, experiment design, and research synthesis while accelerating scientific discovery across various disciplines.
28 verified AI-first sites in Science.
EMET, BenchSci's agentic research environment for preclinical R&D. AI agents reason across 38M publications and a curated biology knowledge graph, and combine data, models, and lab workflows in one place. Used by large pharma research teams.
Pricing: Enterprise pricing for research organizations. Contact for quotes.
Enterprise agent platform for life-sciences data on your infrastructure. Cohort, genomic, and clinical workflows without moving regulated records. Used by biobanks, pharma, and research orgs. BYOC deployment with HIPAA-ready audit trails.
Pricing: Custom pricing based on usage. Enterprise solutions available.
AlphaFold Protein Structure Database from Google DeepMind and EMBL-EBI. Free access to AI-predicted 3D structures for more than 200 million proteins, searchable by sequence or UniProt ID.
Pricing: Free for research use. Enterprise: Contact for solutions.
Scientific superintelligence platform and autonomous labs for life, chemical, and materials sciences. Features AI-powered experiment design, hypothesis generation, and automated testing through AI Science Factory (AISF) technology. Enables rapid scientific discovery across multiple domains.
Pricing: Enterprise solutions. Contact for pricing.
Platform for materials science innovation combining quantum mechanics, predictive modeling, and automated labs. Features include high-throughput molecular screening, AI-driven material design, and self-driving chemical synthesis and characterization.
Pricing: Enterprise solutions. Contact for pricing.
Biomedical literature resource providing automated annotations of scientific publications. Features semantic and relation searches for genes, diseases, chemicals, genetic variants, species, and cell lines. Includes over one billion entity and relation annotations across 36 million PubMed abstracts and 6 million full-text articles. Developed by NCBI with weekly updates. Supports biomedical research and literature analysis.
Pricing: Free
AI platform for scientific R&D with Kosmos that automates research from hypothesis to validated results in 12 hours (traditionally 6 months). Features 80% reproducibility and validated discoveries including therapeutic targets for heart failure and neurodegeneration mechanisms. Accelerates drug discovery and life sciences research.
Pricing: Contact for enterprise pricing.
Scientific foundation model platform from Chinese Academy of Sciences. Features S1-Literature generating 40,000-word reviews from 1,000+ papers in 6 hours, S1-ToolChain with 300+ scientific tools across 10+ research scenarios, and multimodal scientific data understanding. Supports digital cell biology, materials science, and knowledge representation.
Pricing: Contact for access. Research platform.
Allen Institute for AI (Ai2) open research lab. Builds open models, scientific literature tools, and agentic research systems-including Asta-for breakthroughs that stay available to the research community.
Pricing: Free research access. Developer resources available.
AI-powered research intelligence for science, pharma, and academia-connecting literature, trials, grants, and hypotheses with discovery and visualization workflows.
Pricing: Team and enterprise plans; trial or demo via site.
Nonprofit AI research organization building autonomous agents to automate scientific discovery in biology and other complex sciences. Focuses on accelerating hypothesis generation, molecular design, and research workflows with agent-driven scientific systems.
Pricing: Research-focused organization; contact for partnerships and access updates.
AI scientist platform paired with autonomous robotic laboratories for materials discovery. Founding team from OpenAI and Google DeepMind builds closed-loop systems that design experiments, run synthesis and characterization, and iterate on results. Targets superconductors, semiconductors, and advanced materials with verifiable physics-grounded learning.
Pricing: Enterprise partnerships; contact for collaboration.
Tokyo frontier AI lab and creator of The AI Scientist for autonomous research. Automates hypothesis generation, experiment execution, data analysis, manuscript writing, and automated peer review. AI Scientist-v2 uses agentic tree search and produced the first fully AI-generated workshop paper accepted through peer review.
Pricing: Research organization; open-source tools and publications available.
AI agents for discovering new materials for semiconductor chips, aimed at compressing lab-to-fab timelines. Focus includes thermal interface materials and chip heat dissipation; open-sourced Material Discovery Bench with collaborators from IBM, IMEC, Stanford, and Cambridge. YC- and Lightspeed-backed ($9M seed).
Pricing: Research company; contact for partnerships.
Google Labs experiments for AI scientific discovery built on Gemini. Co-Scientist runs multi-agent hypothesis tournaments grounded in literature; Literature Insights and computational discovery cover search, reports, and algorithm search. Used with national labs and life-science partners.
Pricing: Experimental access via Labs; enterprise preview on Google Cloud.
Enterprise AI platform for materials and chemistry product development. DataManager captures process and property knowledge; VirtualLab runs generative virtual experiments to propose candidates. Used by major specialty chemical manufacturers for closed-loop R&D.
Pricing: Enterprise platform licensing; contact for a demo.
AI industrial lab building materials models, autoresearch agents, and robotic synthesis. Formerly Orbital Materials-simulates advanced materials at scales beyond classical methods and ships products such as new molecular classes for high-density GPU cooling.
Pricing: Research and product company; contact for partnerships.
Chemputation platform for programmable chemistry. Turns chemical synthesis into code-driven workflows so labs design, plan, and execute reactions with AI-assisted automation.
Pricing: Contact Chemify for partnerships and access.
IBM AI for chemistry reaction prediction and retrosynthesis. Helps chemists plan synthetic routes and predict outcomes from molecular structures without classical trial-and-error alone.
Pricing: Free research access and IBM offerings-see IBM RXN.
Google DeepMind hub for AI-driven scientific discovery. Showcases models and research programs spanning biology, chemistry, mathematics, and weather that advance AI for science.
Pricing: Research publications and demos-see DeepMind Science.
AI and quantum-mechanics platform for discovering sustainable materials. Screens vast composition spaces for magnets, energy, and net-zero tech; MagNex rare-earth-free magnet designed in months.
Pricing: Enterprise partnerships; contact MatNex.
Self-Driving Labs platform that closes Design-Make-Test-Analyze-Learn loops with agentic AI and robotics. SDLabs guides experiment design for chemistry and materials; physical labs in Boston and Switzerland.
Pricing: Platform and lab partnerships; contact Atinary.
ML-powered molecular design and quantum chemistry in the cloud. Neural network potentials, DFT, docking, and property workflows via web app and API for drug and materials teams.
Pricing: Usage credits and plans; see Rowan.
AI molecular intelligence for battery electrolyte and chemical formulation design. Screens billions of candidates with physics-informed models and closed-loop lab validation for EV, aviation, and storage.
Pricing: Enterprise partnerships; contact Aionics.
Alchemite machine learning for materials and formulation R&D. Imputes sparse experimental data, guides design of experiments, and optimizes alloys, composites, and chemicals.
Pricing: Software licenses and enterprise; contact Intellegens.
AI materials informatics platform that connects lab data, models, and workflows. Helps R&D teams predict properties, optimize processes, and accelerate materials innovation.
Pricing: Platform plans; contact Materials Zone.
AI research environment for materials science with domain agents for literature, characterization analysis, and cross-technique validation. Compresses digital R&D loops from months toward days.
Pricing: Product access; see Stoich.
Anthropic's AI workbench for scientists. A coordinating agent uses 60+ curated skills and connectors for genomics, single-cell, proteomics, structural biology, and cheminformatics, spins up specialist agents, and runs jobs on local or cloud compute. A reviewer agent checks citations and calculations, and every step produces auditable artifacts.
Pricing: Beta for Claude Pro, Max, Team, and Enterprise plans; discounted seats for academic and nonprofit labs.