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Ozette

Ozette provides Resolve, a cloud‑native platform that adaptively unmixes spectral flow cytometry data by modeling cell‑specific autofluorescence and spectral variability, eliminating manual compensation and negative fluorescence artifacts. The system combines AI‑driven analysis with scalable cloud pipelines to deliver rapid, high‑resolution immune profiling and biomarker identification for pharmaceutical, biotech, and academic researchers.

Seattle, United StatesFounded 2021292K+ followers
Updated 2 months ago

Funding

$26M raised to dateRaised 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.

4OM
Funding rounds are not available yet.

Founders

Product

Problem

Researchers using spectral flow cytometry often spend extensive time manually compensating and re‑unmixing data, encounter variable autofluorescence, and produce artifacts that reduce marker resolution and data reliability.

Solution

Ozette offers Resolve, a cloud‑native platform that adaptively unmixes spectral cytometry data by modeling cell‑specific autofluorescence and spectral variability. The system eliminates negative fluorescence values, removes the need for manual compensation, and improves marker resolution across discovery and clinical studies. Integrated AI‑driven analysis discovers and annotates cell populations, providing reproducible biomarker endpoints and full‑cell discovery at high speed. By leveraging cloud computing, Ozette delivers scalable, automated pipelines that transform raw high‑dimensional cytometry data into actionable insights for therapeutic development.

Target Audience

Primary customers are pharmaceutical and biotech companies, as well as academic research labs, that generate high‑parameter flow cytometry data for immunology, oncology, and vaccine development projects.

Features

  • Adaptive, event‑level spectral unmixing that accounts for variable autofluorescence and spectra across cells
  • Automatic quality evaluation of controls and elimination of negative fluorescence artifacts
  • Interpretable machine‑learning models for unbiased cell population discovery and annotation
  • Cloud‑based analysis pipeline delivering rapid, reproducible results for large, high‑dimensional datasets
  • Biomarker endpoint identification for pre‑clinical and clinical trial data, supporting dose finding and efficacy assessment
  • Full integration with Ozette’s high‑dimensional immune profiling assays and laboratory services
This profile is AI-generated and may contain inaccuracies.