Quantumcyte

Quantumcyte

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Private Company

Total funding raised: $26.8M

Overview

Quantumcyte is a private, early-revenue stage company operating in the diagnostics and cell therapy sectors with a focus on precision medicine sample preparation. Its core technology, the QCPRECISE™ platform, is an automated system that uses digital pathology annotations to physically mask and then selectively lyse specific cellular regions from tissue slides, yielding highly enriched samples for molecular testing. The platform is positioned to address critical bottlenecks in both clinical diagnostics—by reducing test failures from low-tumor-content biopsies—and pharmaceutical R&D—by accelerating biomarker discovery. Early adopters include Singapore General Hospital and unnamed top-tier pharmaceutical companies.

Oncology

Technology Platform

The QCPRECISE™ platform is an integrated system that connects digital pathology annotations with physical tissue extraction. It uses software to align annotations, a polymer printing process to mask non-target areas, and proprietary chemistry to selectively lyse and harvest only the annotated Regions of Interest (ROI) from tissue slides, producing high-purity lysates for genomics, transcriptomics, and proteomics.

Funding History

2
Total raised:$26.8M
Series A$22M
Seed$4.8M

Opportunities

The growing need for reliable molecular data from low-quality and low-quantity biopsy samples in both clinical diagnostics and drug development presents a major opportunity.
Quantumcyte's platform can expand the addressable patient population for testing and improve the quality of biomarker data from clinical trials.
Integration with the expanding ecosystem of AI-powered digital pathology tools offers a pathway for becoming a standard component of the precision medicine workflow.

Risk Factors

Key risks include competition from established microdissection techniques and newer in-situ spatial omics platforms, potential slow adoption of new hardware in cost-conscious labs, and the challenges of scaling commercial operations as a private company.
Regulatory requirements for clinical use could also impose additional costs and timelines.

Competitive Landscape

Quantumcyte competes with traditional manual and laser capture microdissection (LCM) systems, which are slower, less automated, and can have lower throughput. It also faces competition from high-plex spatial biology platforms (e.g., from 10x Genomics, NanoString, Akoya) that analyze tissue in situ but often at higher cost and with different output data. Quantumcyte's differentiation lies in its focus on high-purity extraction for standard bulk omics, automation, and integration with existing pathology workflows.