The future of infection prevention
Whole Genome Sequencing (WGS) looks to disrupt traditional methods of HAI Control.
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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.
Our Company
We are a start-up company in pathogen genomics. Our mission is to provide innovative solutions for hospitals and healthcare agencies to rapidly identify and combat HAI. Our team includes experts in genomics, bioinformatics and data infrastructure.
Our Cloud Platform has been awarded six grants since 2017: five NIAID grants and one State of VA grant.
Our Company
We are a start-up company in pathogen genomics. Our mission is to provide innovative solutions for hospitals and healthcare agencies to rapidly identify and combat HAI. Our team includes experts in genomics, bioinformatics and data infrastructure.
Our Cloud Platform has been awarded six grants since 2017: five NIAID grants and one State of VA grant.
The Problem
Large Hospitals spend millions of dollars each year trying to contain Healthcare-associated Infections (HAI).
Why HAI is Difficult to Contain:
Environment: Pathogens have local lineages unique to each hospital, with resistance acquired from overuse of antibiotics.
People: Hospital staff and physicians are often colonized with these local pathogens and become unwitting transmitters.
Tools: Current diagnostic tools lack resolution to isolate and target local lineages from community lineages.
Solutions
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.
Grants Awarded
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
Our Team
Srini S Iyer, PhD
FOUNDER, CEO
20 years in Software Engineering/Product Releases
Nine years of Hospital Experience (NIH Clinical Center)
Principal Investigator, four NIH Grants
Gerard Eldering, MBA
CHIEF BUSINESS OFFICER
20 years of experience in technology transfer venture creation
Created multiple successful start-ups (healthcare sciences)
Dante Martinez, MS
VP OF DATA VISUALIZATION
20 years of experience in data analytics and visualization
Expert in Tableau, MicroStrategy, Qlik Product Suites
Kee Chan, PhD, MBA
CORPORATE STRATEGY ADVISOR
15 years of experience in Public Health, Healthcare, Genomics, Epidemiology
Doctorate in epidemiology of microbial diseases
Our Team
Srini S Iyer, PhD
FOUNDER, CEO
20 years in Software Engineering/Product Releases
Nine years of Hospital Experience (NIH Clinical Center)
Principal Investigator, four NIH Grants
Gerard Eldering, MBA
CHIEF BUSINESS OFFICER
20 years of experience in technology transfer venture creation
Created multiple successful start-ups (healthcare sciences)
Dante Martinez, MS
VP OF DATA VISUALIZATION
20 years of experience in data analytics and visualization
Expert in Tableau, MicroStrategy, Qlik Product Suites
Kee Chan, PhD, MBA
CORPORATE STRATEGY ADVISOR
15 years of experience in Public Health, Healthcare, Genomics, Epidemiology
Doctorate of Epidemiology of Microbes
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