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Evidence intelligence for variant analysis, domain-specific models, and governed genomic data platforms — with every step auditable and a curator in control of every call.
The challenges labs and research teams describe to us.
Evidence for a single variant is spread across papers, databases and case reports that change every month.
Applying ACMG/AMP criteria variant by variant takes skilled time that labs never have enough of.
A classification has to show exactly which evidence supported each criterion, and from which source and version.
Scripts chained together are hard to review, rerun or explain when a result is questioned.
VCFs, reference builds, phenotype terms and annotations arrive inconsistently across projects and partners.
Genomic data has to stay inside the organization’s environment, with access and use recorded.
Evidence intelligence for interpretation, and domain models for everything around it.
Each one keeps the expert in the loop and the evidence on the record.
Evidence gathered and ranked against ACMG/AMP criteria for every variant, ready for a curator to review and sign off.
New publications relevant to variants already classified, surfaced so reclassification is not left to chance.
Reports where each claim cites its source with PMID, DOI, database and version.
Models trained on your own curated knowledge for search, summarization and drafting.
A governed lakehouse for variants, phenotypes and annotations, with lineage and access control.
Researchers ask questions across internal documents and public sources and get cited answers.
A pipeline you can audit step by step and replay on the same inputs.
Posts on genomics and healthcare data from across our sites.