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Watershed

Integrated analytics and computational infrastructure for multi-omics and biological data analysis, with pre-built workflows and bioinformatics expertise.

Solution by Watershed
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Overview

Watershed is an integrated computational platform purpose-built for biology, designed to expedite R&D and accelerate scientific discovery. It serves a broad range of life sciences users — from bench scientists and bioinformaticians to organizational leadership at startups, academic institutions, and established biotech companies — by providing a unified environment for fast, flexible, and accessible biological data analysis.

The platform combines three core pillars: Bench, a biocompute nexus for analytics; Engine, analytical tools powered by ultra-secure supercomputing resources; and Expertise, a team of Ph.D.-level bioinformaticians who act as strategic partners throughout every stage of the data analysis journey.

Capabilities for Lab Scientists

  • Shorten compute time by orders of magnitude to quickly obtain and iterate on results, avoiding analysis bottlenecks.
  • Leverage plug-and-play, pre-optimized workflow templates for a wide variety of data types, including WGS, RNA-Seq, mass spectrometry, high content imaging, and more.
  • Ensure consistent methodologies and reliable results through built-in provenance tracking and data management features.
  • Access bioinformatics expertise on demand — Watershed's team can work as an extension of your own lab to develop custom workflows, interpret results, and provide additional support.

Capabilities for Bioinformaticians

  • Access extensive computational resources to run complex, large-scale analyses rapidly without the need to set up or maintain your own infrastructure.
  • Collaborate with expert bioinformaticians to develop bespoke workflows for a wide range of biological data types.
  • Utilize ready-to-use AI/ML tools, including Geneformer and AlphaFold, supported by Ph.D.-level specialists who understand your scientific needs.
  • Easily manage data and track analyses to ensure that data, methodologies, and results remain reliable and perpetually accessible.
  • Work with diverse data types without building custom solutions from scratch, by building off existing workflows.

Capabilities for Organizational Leadership

  • Move quickly and beat competitors to market by skipping the labor- and time-intensive process of building, maintaining, and scaling in-house workflows, infrastructure, and expertise.
  • Ensure compliance at every step, providing confidence in results and methodologies for regulators, collaborators, and future team members.
  • Scale analyses alongside team growth, preventing data silos and enabling collaboration and rapid innovation.
  • Protect sensitive information and intellectual property while leaving data management and security to Watershed.

Platform Highlights

  • One integrated platform that serves as a common language between biologists and bioinformaticians, helping to overcome siloed thinking between disciplines.
  • Ultra-secure supercomputing resources that eliminate the need for organizations to build or manage their own computational infrastructure.
  • Support for a broad spectrum of biological data types and analytical use cases, from multi-omics to imaging.
  • Publication-quality figures and insights generated directly from template workflows, enabling scientists without programming backgrounds to produce results immediately.

Watershed supports integrations with external tools and platforms, and offers special pricing options for qualifying startups, non-profits, and academic organizations. The platform is designed to function as a true extension of your team, combining powerful infrastructure with hands-on expert partnership to help organizations hit project milestones faster and with greater confidence.

Meta

Domain
Genomics & Omics Analysis
Subdomain
Single-Cell & Multi-Omics Analysis
Software type(s)
Analytical Platform
Deployment type(s)
Cloud / SaaS
Industry vertical(s)
Academic / ResearchBiotechCROPharma
Development stage(s)
Research & DiscoveryPreclinical / Pre-Market
Target user(s)
Bench Scientist / Lab TechnicianLab Manager / Core Facility ManagerResearch ScientistBioinformatician / Computational Scientist
Tag(s)
Uses AI