LatchBio Platform

LatchBio Platform is a modern data and compute solution designed for biotech R&D teams. It enables bioinformatics and wet lab scientists to seamlessly store, transform, and analyze high-throughput biological data in a single, centralized environment. Hundreds of biotechs rely on LatchBio to make data analysis faster, more accessible, and more cost-effective — with users reporting savings of over 72% compared to standard cloud providers such as AWS, GCP, and Azure.

The platform is built for both wet and dry lab scientists, offering enterprise-grade security, scalable compute, and intuitive interfaces that reduce the burden of cloud infrastructure management. LatchBio acts as an analysis partner, with an in-house engineering and bioinformatics team that supports onboarding, data migration, and early-stage analyses.

Latch Data: Centralized Biological Data Storage

• Provides a private, secure workspace backed by Amazon S3 with 99.9999999999% (11 nines) data durability.
• Compliant on day one with SOC-2 Type II and HIPAA standards, helping teams save months of compliance work.
• Supports unlimited storage for any data type or size, with import capabilities from Benchling, AWS, DropBox, GCP, and Azure.
• Fine-grained user permissions with a full audit trail tracking who made changes and when, supporting FDA IND proposals and daily operations.
• Invite unlimited users and manage access controls across members and workspaces within an organization.
• Built-in default visualizations for NGS file formats including FastQ, BAM, SAM, VCF, and PDB, with tools such as FastQC, IGV, and Protein Viewer available directly in the platform.

Latch Registry: Integrated Metadata Database

• A collaborative, spreadsheet-like database interface that harmonizes metadata across wet and dry lab teams.
• Allows users to tie together sequencing data, strain images, and metadata in a single table-based format accessible to both scientists and bioinformaticians.
• Supports embedding images and links to reports within tables for rapid biological data interpretation.
• Enables creation of parent-child relationships between tables for structured data organization.
• Supports strong column typing to enforce standardization, and bulk data import via Excel or CSV files.
• Pipelines can read from and write to Registry for improved traceability, with APIs available to query patient cohorts or key experimental information.
• Effortless search and filter functionality to retrieve past data based on specific column and cell values.
• A Python API supports full CRUD (create, read, update, delete) operations on Registry tables, enabling programmatic access from workflows or notebook environments.

Latch Workflow Manager: Scalable Bioinformatics Workflow Orchestration

• Supports upload and execution of any bioinformatics workflow, including native support for Nextflow-based pipelines.
• The Latch SDK is a flexible Python SDK that enables portability from existing frameworks and languages, using pure Python functions and subprocess modules to run scripts in any language.
• Auto-generates user-friendly workflow interfaces from code definitions, with configurable parameters including labels, help tooltips, grouping, and custom input components such as radio options and multiselect fields.
• Scalable compute resources are defined via single-line Python task decorators, ranging from 2 CPUs and 4 GB of memory up to 31 CPUs, 120 GB of memory, and 1 GPU (24 GB VRAM, 9,216 CUDA cores).
• Empowers scientists to self-serve workflows without requiring engineering support, dramatically reducing per-scientist labor time.

Latch Pods: On-Demand Cloud Compute Environments

• Provides scalable, on-demand cloud computers with up to 93 CPU cores, 8 GPUs, 730 GiB RAM, and 16,000 GB of storage, launchable with a single click.
• Built-in Jupyter Lab and RStudio environments support Python and R analyses, along with bash terminals for command-line operations.
• Supports SSH connectivity from local machines, enabling integration with familiar IDEs such as VSCode and PyCharm.
• Pod Templates allow users to save snapshots of configured environments — including dependencies, scripts, and analyses — for reuse across team members or public sharing.
• Auto-shutoff options based on network activity help teams control and minimize cloud compute costs.

Partnership, Support, and Deployment

• LatchBio's engineering team acts as an extension of the customer's organization, supporting full migration of data, workflows, and notebooks during onboarding.
• In-house bioinformaticians provide consulting services for early-stage companies to accelerate first analyses.
• The platform maps out end-to-end drug discovery campaigns in collaboration with partners.
• Trusted by more than 4,000 scientists across the life sciences industry.
• Deployed in a secure, private cloud environment with compliance frameworks including HIPAA and SOC-2 Type II; additional trust and security details are available at trust.latch.bio.