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Community-driven AI model marketplace for biology research, from protein design to omics analysis.

Solution by superbio.ai
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Overview

Superbio.ai is the world's first community-driven AI store for biology, designed to bridge the gap between biological research and artificial intelligence. The platform enables students, academics, researchers, and enterprise teams to browse, run, and interact with cutting-edge AI models using their own data — all without requiring deep machine learning expertise.

The platform hosts a growing library of peer-reviewed and community-contributed AI applications spanning omics, protein design, drug design, image analysis, biological large language models, and more. Users can access state-of-the-art models with a single click, supported by renowned AI engineers who are automatically notified when jobs fail and proactively assist with resolution.

Available Application Categories

  • Bio LLMs: Tools including DocChat (AI-powered Q&A for research PDFs), CodeBio (AI chatbot for bioinformatics coding questions), and SearchBio (rapid scientific study discovery and summarisation)
  • Omics: scGPT-based apps for gene regulatory network (GRN) inference, cell-type annotation, and single-cell genomics sample mapping
  • Protein Design: RFDiffusion for deep learning-powered protein backbone design, ProteinMPNN for functional protein sequence design, RoseTTAFold2NA for protein-nucleic acid complex prediction, RoseTTAFold All-Atom for full biomolecular assembly 3D structure prediction, ImmuneBuilder for T- and B-cell receptor structure prediction, Boltz-1 for AlphaFold3-level accuracy on proteins, RNA, DNA, and combinations, RFpeptides for cyclic peptide binder design, and an integrated Binder Design workflow combining RFdiffusion, ProteinMPNN, and Boltz-1
  • Drug Design: Covalent Docking via Flexible Side Chain Method for modelling covalent ligand binding
  • Protein Design (CRISPR): Evo-CRISPR for de novo CRISPR-Cas loci design and optimisation

Subscription Tiers

  • Basic (Free): Suited for students, academics, and enthusiasts; includes limited compute of 0.5 hours per month or 5 jobs per day, limited GPU access, email support, and limited comments
  • Boost ($20/month): Designed for researchers with high-performance computing needs; includes 20 hours per month or 300 jobs per month, boosted GPU access, priority customer support, batch job execution, fine-tuning and retraining capabilities, early access to new features, and unlimited comments
  • Team Pricing (Custom): Tailored for organisations and enterprises, including academic groups; starts at 3 seats and provides access to advanced AI tools, support from AI engineers, and full control over the AI research journey

Platform Policies and Support

  • User data is never used to fine-tune or improve models; data is only accessed by the team if debugging support is explicitly requested
  • Only successfully completed jobs are deducted from a user's compute balance — failed jobs do not count against usage
  • Monthly compute allowances are refreshed each month
  • Users who exceed their Boost-tier compute can contact the team for a tailored solution
  • Engineers are automatically notified of job failures and proactively reach out to users with resolution steps
  • Users can request new applications to be built via a dedicated request form

Superbio.ai is accessible via a web-based interface, allowing researchers to run AI workflows directly against their own datasets. The platform supports both individual researchers and larger organisational teams, with special pricing available for academic groups. For additional compute needs or enterprise enquiries, the team can be contacted directly at [email protected].

Meta

Domain
Drug Discovery & Molecular Design
Subdomain
Generative Molecular & Biologics Design
Software type(s)
Marketplace / App Store
Deployment type(s)
Cloud / SaaS
Industry vertical(s)
Academic / ResearchBiotechCROPharma
Development stage(s)
Research & DiscoveryPreclinical / Pre-Market
Target user(s)
Bench Scientist / Lab TechnicianResearch ScientistBioinformatician / Computational ScientistMedicinal Chemist
Tag(s)
Uses AI