Atila Biosystems launched the 90 Minute Moat operating model to bring faster molecular diagnostic capability closer to the clinical workflow.
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Diagnostic margin is lost long before the invoice is reviewed. It is lost when a hospital, laboratory, urgent care center, or emergency room sends a specimen out and wai…
Company
Atila Biosystems
We are committed to bringing innovative nucleic acid amplification and detection technologies to reality.
- Industry
- Biotechnology
- Location
- Sunnyvale, US
- Company size
- 11–50 employees
About Atila Biosystems
At Atila BioSystems, we are dedicated to advancing clinical molecular diagnostics through the development of innovative nucleic acid amplification and detection technologies. Our mission is to make molecular testing faster, simpler, and more accessible without compromising accuracy. Our portfolio spans a wide range of diagnostic applications, including FDA EUA–approved COVID-19 testing, Non-Invasive Prenatal Testing (NIPT), HPV and STI detection, and Next-Generation Sequencing (NGS) cancer panels for lung, breast, colorectal, and other cancers. We offer over 40 extraction-free assays designed for respiratory infections, sexual health, urinary tract infections (UTIs), wound infections, and viral, bacterial, and fungal diseases. By eliminating the need for DNA or RNA extraction, Atila’s proprietary technologies streamline molecular workflows, reduce turnaround time, and maintain high analytical precision. Together with our global partners, we are expanding access to advanced molecular diagnostics and improving patient outcomes worldwide.
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Latest activity from Atila Biosystems
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Products & Services
Atila Biosystems launched a new panel of PGx panels using RT-PCR technology to identify variants across 35 pharmacogenes with 6 preset panels
Products & Services
Atila Biosystems launched new pharmacogenetic genotyping products using TPCR technology to identify inherited variants across up to 91 genes.
Products & Services
Atila Biosystems launched new PGx panels using RT-PCR technology to identify variants across 35 pharmacogenes with 6 preset panels.
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