Industries · Genomics & Life Sciences

Data & AI for genomics & life sciences

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.

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Where we work
Variant classificationACMG / AMPLiterature miningClinVar & gnomADOMIMHGVS normalizationEvidence reportsDomain-specific modelsGenomic data platformsResearch copilots
The problems

What slows genomic interpretation down

The challenges labs and research teams describe to us.

Literature outpaces curation

Evidence for a single variant is spread across papers, databases and case reports that change every month.

Curation is slow and manual

Applying ACMG/AMP criteria variant by variant takes skilled time that labs never have enough of.

Every call needs provenance

A classification has to show exactly which evidence supported each criterion, and from which source and version.

Pipelines that can’t be audited

Scripts chained together are hard to review, rerun or explain when a result is questioned.

Data in too many formats

VCFs, reference builds, phenotype terms and annotations arrive inconsistently across projects and partners.

Sensitive data, strict controls

Genomic data has to stay inside the organization’s environment, with access and use recorded.

The products

Built for genomics teams

Evidence intelligence for interpretation, and domain models for everything around it.

InsightVariant variant analysis
Variant evidence intelligence

InsightVariant

Multi-agent evidence intelligence for genomic variant classification.

  • ACMG/AMP criteria applied with per-criterion evidence
  • ClinVar, gnomAD, OMIM, Ensembl/VEP, UniProt and PubMed
  • Auditable, replayable pipeline with curator override
InsightDLM domain-specific models
Domain-specific models

InsightDLM

Build domain-specific small and large language models your organization can trust.

  • Curate data and generate training sets
  • Fine-tune, evaluate and deploy vertical models
  • Runs in your environment
Decision support, not a diagnosis. InsightVariant prepares and organizes the evidence; qualified clinical curators review, override and sign off every classification.
Use cases

Where AI helps genomics teams

Each one keeps the expert in the loop and the evidence on the record.

Variant classification support

Evidence gathered and ranked against ACMG/AMP criteria for every variant, ready for a curator to review and sign off.

InsightVariant

Literature surveillance

New publications relevant to variants already classified, surfaced so reclassification is not left to chance.

InsightVariant

Evidence reports with provenance

Reports where each claim cites its source with PMID, DOI, database and version.

InsightVariant

Domain-specific language models

Models trained on your own curated knowledge for search, summarization and drafting.

InsightDLM

Genomic data platform

A governed lakehouse for variants, phenotypes and annotations, with lineage and access control.

Innovation POD build

Research copilots

Researchers ask questions across internal documents and public sources and get cited answers.

Innovation POD build
Architecture

From VCF to reviewed classification

A pipeline you can audit step by step and replay on the same inputs.

Variant analysis pipeline
VCF + HPO termsGRCh37 / GRCh38 QC & normalizeHGVS notation Six specialized agentsannotate · query databasesmine literature · rank evidenceapply criteria · draft report ACMG / AMPper-criterion evidence Curator reviewoverride any step ClinVar · gnomAD · OMIM · PubMed every step, model call and source logged — replayable on the same inputs
Agents prepare the evidence; the curator decides. Every step is logged.
Reading

Field notes

Posts on genomics and healthcare data from across our sites.

Built on the platforms research teams already run
DatabricksGoogle CloudAWSAzureSnowflake

Start with one panel or one workflow

A short assessment of your interpretation workflow, then a pilot on your own data with your curators reviewing every result.

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