Genomics / Vancouver, BC
Private AI for genomics.
Make a computational run reproducible and inspectable. A pipeline result needs sample provenance, method versions and quality context.

Make a computational run reproducible and inspectable
A pipeline result needs sample provenance, method versions and quality context.
KOVA can be configured to work with these inputs: permissioned sequence-analysis outputs, sample metadata, pipeline logs and QC metrics.
What the AI looks for
Detect run anomalies, compare cohorts under approved methods and explain pipeline failures.
What happens next
Launch authorised analysis jobs and produce versioned reports with reproducible commands.
What SOS AI connects and configures
Controlled compute, genomic-data permissions and validated pipelines.
KOVA runs the selected models locally. SOS AI combines the required model software, data connections and approved application tools around the job. Cameras, sensors, telephony and specialist applications are integrated where the workflow calls for them; they are not assumed to be present in every installation.
How to judge the result
Specialists verify biological interpretation and consent; no autonomous clinical conclusions.
Genomics: professions and teams
Genomics companies
Make the pipeline result reproducible from sample to report.
Explore the application ↗Genomics laboratories
Connect the run exception with the specimen and instrument.
Explore the application ↗Genomics researchers
Make the pipeline result reproducible from sample to report.
Explore the application ↗No professions match. Try a broader word.