Watershed.ai: Accelerating Biological Discovery with AI-Powered Analysis

Watershed.ai is a cutting-edge, cloud-based computational platform built specifically for life sciences researchers, designed to streamline and accelerate data-driven discovery in bioinformatics. By integrating advanced AI and machine learning tools like Geneformer and AlphaFold2, Watershed.ai enables scientists to process vast biological datasets—including genomics, proteomics, transcriptomics, and mass spectrometry—quickly and securely. With over 100 pre-designed, plug-and-play analysis templates and seamless automation from data upload to publication-ready output, the platform eliminates the need for complex pipeline setup, allowing researchers to focus on innovation rather than infrastructure. Its scalable, GPU-accelerated infrastructure ensures high performance, while built-in provenance tracking and unmatched data security protect sensitive patient data and intellectual property. The platform supports collaboration through a customizable interface and is backed by a team of Ph.D.-level bioinformaticians, making it ideal for academic institutions, biotech startups, and enterprise research teams. Whether analyzing long-read sequencing, multi-omics, or high-content imaging data, Watershed.ai delivers a 10X productivity boost and an 86% reduction in analysis time.

Key Features:

• 100+ Pre-Designed Data Analysis Templates: Covering genomics, epigenomics, transcriptomics, proteomics, multi-omics, population genetics, microbiomes, and high-content imaging.
• AI/ML Integration: Built-in support for AlphaFold2 (3D protein structure prediction) and Geneformer (gene perturbation analysis).
• Seamless Automation: End-to-end workflow automation from data upload to final output, reducing manual effort and errors.
• GPU-Accelerated Computation: High-performance computing for fast, scalable biological analysis.
• Phase-Aware Long-Read Sequencing Analysis: Advanced support for PacBio and Oxford Nanopore data.
• Provenance Tracking & Data Management: Ensures reproducibility, transparency, and auditability of research workflows.
• Customizable Workflows: Tailor pipelines to specific research needs with expert guidance.
• Integration with Public Datasets: Access to Open Targets, gnomAD, ClinVar, dbSNP, recount3, CCLE, Genebass, and more.
• Support for Diverse Technologies: Compatible with 10X Visium, NanoString GeoMx/CosMx, Olink® assay kits, BLISS, GUIDE-Seq, CRISPResso, Digenome-Seq, and others.
• Collaborative Interface: Customizable UI for team-based research and real-time collaboration.
• Expert Bioinformatics Support: Direct access to Ph.D.-level specialists for workflow development and data interpretation.
• Scalable Infrastructure: Cloud-based, secure, and ready to handle large-scale datasets (300TB processed monthly).
• Special Pricing for Academia & Non-Profits: Tailored plans for startups, non-profits, and academic institutions.

Pricing: Watershed.ai offers a freemium model with special pricing available for startups, non-profits, and academic organizations, and users can schedule a demo to explore tailored options.

Conclusion: Watershed.ai is a transformative platform for life sciences research, combining powerful AI-driven analysis, robust security, and expert support to empower scientists to accelerate discovery and drive innovation in drug development and biological research.