BioMap

BioMap provides a platform that integrates high‑throughput spatial omics and advanced imaging to create detailed, spatially resolved maps of gene expression, protein levels, and other molecular markers within intact tissue sections. Its cloud‑based system offers automated image alignment, interactive multi‑omic visualizations, and analytics tools that let researchers query, compare, and export data for downstream bioinformatics workflows.

Traction 10/10

Palo Alto, United States · HQ

Founded 2020895K+ followers

Artificial Intelligence
Data & Analytics
Biotechnology

Updated 5 months ago

Funding

Raised to date

$100MRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.

Funding rounds are not available yet.

Founders

1 founder

Robin Li

Founder

Product

Problem

There is limited access to comprehensive, spatially resolved biological data that integrates molecular profiling with tissue architecture, hindering research and diagnostic insights.

Solution

BioMap offers a platform that combines high-throughput spatial omics technologies with advanced imaging to generate detailed maps of biomolecular distribution within tissue samples. The system captures gene expression, protein levels, and other molecular markers while preserving spatial context, enabling researchers to visualize and analyze complex biological processes in situ. Integrated analytics tools allow users to query, compare, and interpret spatial patterns across multiple samples, supporting hypothesis generation and validation. Data can be exported in standard formats for downstream bioinformatics pipelines or incorporated into collaborative research portals.

Target Audience

Primary users are academic and industry researchers in genomics, pathology, and drug discovery who require spatially resolved molecular data for tissue-based studies.

Features

High-resolution spatial transcriptomics and proteomics profiling on intact tissue sections
Automated image acquisition and alignment pipelines to maintain precise spatial registration
Interactive visualization interface for multi-omic layer overlay and region-of-interest analysis
Scalable cloud-based storage and processing infrastructure supporting large cohort studies
Export options for common bioinformatics formats (e.g., AnnData, HDF5) and API access for custom workflows