One Biosciences

One Biosciences

Paris, France· Est.
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Private Company

Total funding raised: $33.5M

Overview

One Biosciences is a Paris-based biotech focused on making single-cell profiling a practical tool for clinical decision-making and drug development. The company has developed an AI-powered platform that rapidly processes standard clinical samples (FFPE/frozen) to deliver actionable, single-cell data, validated across multiple tumor types. Backed by a €15 million Series A financing round in 2025, the company is positioned to partner with pharmaceutical companies and research institutes to improve patient selection, accelerate therapy development, and optimize clinical trials. Its collaborations with leading French cancer centers like Gustave Roussy and Institut Curie underscore its research credibility.

Oncology

Technology Platform

Proprietary AI-powered platform for clinical-grade single-cell profiling from FFPE and frozen tissue samples, delivering clinician-ready reports in under two weeks.

Funding History

2
Total raised:$33.5M
Series A$28M
Seed$5.5M

Opportunities

The company is positioned to capitalize on the growing need for deep molecular insights in precision medicine, particularly in optimizing high-cost, high-failure oncology clinical trials.
Its ability to analyze standard FFPE samples unlocks vast historical biobanks and integrates with real-world clinical workflows, creating a significant market advantage.

Risk Factors

Key risks include technological challenges in consistently extracting high-quality single-cell data from degraded FFPE samples, competition from larger genomic service companies and academic cores, and the commercial hurdle of integrating complex single-cell data into established clinical and drug development decision-making processes.

Competitive Landscape

One Biosciences competes with large commercial genomic profiling companies (e.g., Tempus, Guardant) developing single-cell services, specialized single-cell analysis CROs, and academic core facilities. Its differentiation lies in the specific focus on clinical-grade, rapid turnaround from FFPE/frozen samples and AI-driven, clinician-ready reporting.