High-sensitivity multiplex protein analysis platform with automated workflow
Alamar Biosciences manufactures precision proteomics hardware and assay chemistry for ultra-sensitive protein detection. The stack reveals a hybrid biotech operations profile: qPCR and ddPCR dominate the lab layer, while Benchling and Opentrons support assay development and automation; commercial infrastructure (Salesforce, HubSpot, NetSuite, Power BI) is mature relative to company size. Hiring velocity is accelerating across research, sales, and engineering, while pain-point patterns expose the core bottleneck—scaling manufacturing and process transfer from R&D to production while expanding the assay portfolio and entering regulated markets (China, Japan).
Alamar Biosciences develops automated proteomics platforms for high-throughput, multiplexed protein analysis. The core product is NULISA™ Chemistry, a sequential capture-and-release method that reduces background noise and expands dynamic range, paired with the ARGO System for fully automated sample-to-data workflows in under 30 minutes of hands-on time. The NULISAseq Inflammation Panel targets immune and inflammatory disease markers, supporting both qPCR and NGS readouts. The company is privately held, based in Fremont, California, and operates across three geographies (US, China, Japan), with active projects spanning lyophilization optimization, process transfer to manufacturing, assay expansion, and KOL network development in emerging markets.
NULISA™ Chemistry, a proprietary sequential capture-and-release method that reduces background signal and increases sensitivity and dynamic range in multiplex protein analysis. The ARGO System automates the full workflow from sample to data in under 30 minutes.
The NULISAseq Inflammation Panel contains 200+ biomarkers related to immune and inflammatory diseases. It supports both qPCR and NGS readouts on the ARGO System.
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Alamar Biosciences, Inc.'s technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
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