aibioatlas is the premier global index, benchmark directory, and career hub dedicated to artificial intelligence across biotechnology, molecular biology, genomics, and pharmaceutical research.
The convergence of deep learning and biological sciences is transforming medicine, agriculture, and biomaterials at unprecedented velocity. From foundation models predicting 3D protein structures (AlphaFold, ESM-3) to generative chemistry and automated wet labs, researchers face an increasingly fragmented ecosystem.
aibioatlas provides an objective, evidence-backed, and continuously updated atlas to help researchers, labs, and biopharma enterprises discover verified tools, compare performance, recruit top talent, and accelerate scientific discovery.
A guide to the specialized tools and directories available across the platform.
Comprehensive catalog across 9 biological domains: Protein Design, Single-cell & Spatial Omics, De Novo Drug Discovery, Lab Robotics, Cryo-EM Imaging, and Scientific ML Libraries. Filter by access mode (Open Source, Commercial, Academic), license, and verified benchmarks.
Dedicated career hub indexing active computational biology, bioinformatics, and AI drug discovery roles from 30+ monitored biopharma and AI companies (Genentech, Isomorphic Labs, Recursion, EvolutionaryScale, etc.). Includes remote filters and direct application links.
Compare models and software side-by-side across algorithmic architectures, training datasets, deployment modalities, API availability, hardware requirements, and licensing terms to make informed procurement decisions.
An interactive visual taxonomy mapping the fundamental elements of AI in biology: from sequence foundation models to molecular docking, quantum chemistry simulations, and automated synthesis hardware.
Standardized evaluation scores (CASP, CAMEO, MoleculeNet, Therapeutics Data Commons) alongside direct access to curated biological datasets required to train and validate biomolecular models.
Intelligent conversational and semantic assistants that help you discover the exact software, pipeline, or model required for specific research queries (e.g. “antibody affinity maturation under low compute”).
How biotechnology companies, pharmaceutical software providers, and hardware vendors can leverage aibioatlas.
If your tool, model, or platform is already listed on aibioatlas, your official representative can Claim the Listing to directly update specifications, add whitepapers, benchmark data, product screenshots, and official contact links.
Reach an audience of thousands of specialized computational biologists, bioinformaticians, and machine learning engineers. Submit openings directly through our simple job submission modal or manage continuous postings through a verified company account.
Verify your organizational affiliation to receive a ✓ Verified company representative badge. Verified entities can publish products without editorial delay and manage an authoritative profile in our Company Directory.
Biopharma teams and academic labs frequently submit Requests for Proposals (RFPs) and pilot inquiries. Verified vendors receive direct inbound leads, pilot requests, and enterprise evaluation inquiries through our structured lead routing system.
Amplify product launches, major benchmark milestones, or open-source releases with featured placement across the homepage, category tops, and the monthly BioAI newsletter distributed to industry researchers.
Access our dedicated vendor portal at /vendor/dashboard to monitor listing engagement, manage active stacks, view user upvotes, update release changelogs, and download analytics.
Have questions about benchmark methodologies, listing a new biological AI model, reporting corrections, or exploring enterprise partnership opportunities? Our team is available directly via our official email:
Official correspondence: info@aibioatlas.com · Response time: within 24 business hours.
Join hundreds of leading institutions and startups indexing their breakthroughs on aibioatlas.