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LatchBio

AI-powered data analysis and workflow automation for 40+ biology kits and instruments, serving biopharmas and R&D labs.

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Overview

LatchBio is an AI-powered biology data analysis platform designed to harmonize wet and dry lab workflows. Serving over 300 biopharmas and R&D labs worldwide, LatchBio provides a unified data platform supporting analysis of data from 40+ kits and instruments, with compatibility for file formats including FastQ, CSV, Excel, H5AD, TIFF, and more. The platform is powered by Claude 4.5 Opus and is trusted by more than 4,000 scientists globally.

At its core, LatchBio is built around the vision of "The Latch Project" — to construct and disseminate the data infrastructure of the biocomputing revolution. The platform is designed for bench scientists, computational scientists, bioinformaticians, IT teams, and R&D leadership, offering a single pane of glass for kit and instrument data analysis. One co-founder and scientific director at Elsie Biotechnologies (a GSK company) noted that LatchBio reduced their RNAseq data analysis costs by 80%, bringing per-run costs from approximately $2,000 down to $150.

Key User Segments and Use Cases

  • Solution Providers (Commercial Teams): LatchBio enables life sciences solution providers to offer white-labeled, end-to-end data analysis portals to their customers in under four weeks, reducing time to insight and accelerating kit repurchases. Providers can onboard unlimited customers at no extra cost and access robust developer tools to deploy custom pipelines and visualizations in days.
  • R&D Executives: The platform accelerates drug development with secure, cost-effective data analysis that supports IND reproducibility. It provides a unified, compliant, and FAIR-ready platform for accessing, analyzing, and sharing data, ensuring data integrity standards are met from day one.
  • Bioinformatic Product Teams: LatchBio extends in-house tools with a scalable, fully branded platform. It addresses the limitations of both in-house platforms (limited bandwidth, slow feature development) and out-of-the-box software (lack of control, branding, and customization) by offering infrastructure that can be fully rebranded and integrated with existing tools, workflows, and visualizations.
  • Computational Scientists: Scientists can run reproducible code, access cloud resources, and deploy reports for scientific teams to explore collaboratively. The platform maintains full control and visibility over all code and integrates with existing cloud providers.

Core Platform Capabilities

  • AI agent for biology data analysis, capable of tasks such as identifying cell types in complex datasets (e.g., mouse ovary data from Takara Seeker 3x3)
  • Support for 40+ kits and instruments across a wide range of biological data types and file formats
  • Cloud-based infrastructure that saves over 72% compared to standard cloud providers such as AWS, GCP, and Azure
  • Simple, usage-based pricing — users only pay for what they use
  • Seamless team collaboration with best-in-class systems and shared reporting
  • FAIR-ready and compliant data management to support regulatory and reproducibility requirements
  • White-labeling and full rebranding capabilities for solution providers
  • Integration with existing cloud providers and internal tools

Notable Customers and Partners

  • Supports the bioinformatics platforms of 40+ leading life sciences solution providers
  • Used by over 300 biopharmas and R&D labs around the world
  • Trusted by more than 4,000 scientists
  • Customers include Elsie Biotechnologies, a GSK company

Investors and Advisors

  • George Church — Founding Core Faculty, Synthetic Biology, Wyss Institute at Harvard University; Professor at Harvard Medical School and MIT
  • Jeff Dean — SVP, Google Research and Health, and Google Senior Fellow
  • Laura Deming — Managing Partner, Longevity Fund
  • Hemant Taneja — Managing Partner, General Catalyst
  • Brian Naughton, Ph.D. — Co-Founder and Head of Data at Hexagon Bio; previously Founding Scientist at 23andMe
  • Alec Nielsen, Ph.D. — Co-founder and CEO of Asimov
  • Brandon White — Head of Product at Spring; Founding PM at Freenome; Early ML Engineer at Uber

Team and Culture

  • Founded and led by Alfredo Andere (CEO), Kenny Workman (CTO), and Kyle Giffin (COO), with a multidisciplinary team spanning engineering, bioinformatics, product, and design
  • Engineers work across web development, systems programming, database administration, algorithmic programming, and cloud infrastructure
  • Intellectually curious culture with regular science and technology reading groups covering topics from category theory to immunology
  • Competitive benefits including unlimited PTO, fully subsidized premium health insurance (Cigna platinum plan), dental and vision, 401(k), equity incentives, annual technology stipend, professional development support, and O-1 visa sponsorship

LatchBio is positioned at the intersection of laboratory automation, high-throughput assays, and machine learning, with a mission to build the data infrastructure needed for the biocomputing revolution — enabling biology to be programmed, analyzed, and accelerated at scale.