We provide simple, easy-to-use, cloud-based genomics software for hospitals to combat pathogens.

Our software provides the highest possible resolution through unique machine-learning algorithms.

The Future of Infection Prevention

Whole Genome Sequencing (WGS) looks to disrupt traditional methods of HAI Control.

Pathogens have local lineages unique to each hospital, with resistance acquired from overuse of antibiotics.

Hospital staff and physicians are often colonized with these local pathogens and become unwitting transmitters.

Current diagnostic tools lack resolution to isolate and target local lineages from community lineages.

Key Questions Our Platform Will Answer

Are my prevention products working?

Benchmark the efficacy of Infection Prevention Products and Initiatives.

Where should I target my prevention products?

Pinpoint wards and locations where local lineages are more prevalent.

Is there an emerging outbreak?

Proactively identify emerging clusters and prevent potential outbreaks.

NIH SBIR: An Integrated Pan Genome Resistome Platform for Nosocomial Pathogen Surveillance in Hospitals
NIH SBIR: A cloud based WGS platform for routine surveillance of plasmid borne carbapenem resistance
Virginia CRCF SBIR Matching Funds Program Award: A Cloud-Based WGS Platform for Routine Surveillance of Hospital Pathogens
NIH 2019 I-Corp Program
NIH SBIR: A Cloud-Based WGS Platform for Establishing Phylogeny within Epidemic Outbreaks at Hospitals
NIH SBIR: A WGS-Based Genomics Platform for Early Identification of MRSA Transmission in ICU Settings