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Classify every gene variant. Match every patient to the right drug.

Powered by geneSlice, our world-leading proprietary platform, we generate variant-level functional data at scale — enabling drug developers across oncology and rare genetic diseases to stratify patients, de-risk clinical trials, and expand labels on evidence, not assumption.

What we are building and why

Building the functional data precision medicine demands.

Most gene variants in cancer and rare disease are Variants of Uncertain Significance (VUS), leaving targeted therapies out of reach for patients who could benefit. And even well-established disease-causing variants need deep functional understanding to drive the patient stratification, biomarker integration, and label expansion that modern precision medicine demands.

Using geneSlice, our proprietary gene editing platform, we build high-throughput functional assays that resolve gene variants, including pathogenic and VUS gene variants, into actionable classifications for targeted treatment — so drug developers can guide patient selection, de-risk clinical trials, expand label eligibility, and accelerate precision medicine projects.

The drug efficacy gap

From VUS to confirmed pathogenic, most patient variants have never been functionally tested for drug response.

For most clinically actionable genes, only a very small fraction of patient variants is functionally tested for drug responses. The vast majority of gene variants — pathogenic and VUS gene variants — remain functionally uncharacterised for treatment response, leaving trial design and treatment decisions without the variant-level data they need.

Our approach

Variant by variant, at scale.

For each variant of interest, we engineer a cell model, measure how it responds to your drug or drug class, and read out a variant-level functional score. The workflow scales: data per variant, at the throughput modern drug development requires, scaling to thousands of variants per gene.

From sequencing DNA gene variant to functional clarity
01
Genetic vulnerability identified
E.g. BRCA2 for PARP inhibitor drug response — your gene target and clinical context.
02
Gene variant library design
All pathogenic and VUS gene variants, or an unbiased saturation-level library.
03
geneSlice functional assay
Engineered cell model + high-throughput drug screen.
04
Actionable classification
Loss-of-function · drug-sensitive — variant classifications ready for integration into clinical decision support and NGS-based diagnostic pipelines.
Every patient counts

Every disease area, the same stakes.

In rare genetic disease, oncology, neurodegenerative, and cardiovascular conditions, mis-stratification costs the same — a patient enrolled who will not respond, or a patient excluded who would have.

Variant-level functional data resolves this. It confirms which variants are truly pathogenic, separates loss-of-function from partial-function, and predicts how a candidate therapy will perform across the full variant spectrum — before any patient is exposed.

Every disease area has its own complexity. Every variant has its own story. Every patient who carries one deserves an answer built on evidence, not assumption.

Every patient counts.

How a project runs

Two workflows, one platform

Every project begins with a consultation. From there, projects run on one of two flows — a productised variant-library workflow, or a bespoke design for more specialised needs.

Path 1

Variant library workflow

01

Consultation

Scope the target, cell model, and functional assay.

02

Cell model development

geneSlice-powered cell model build.

03

Variant library & screening

Library construction, delivery, and functional assays.

04

Data delivery

Functional scores, variant-level classifications, resistance maps, annotated databases.

Path 2

Bespoke workflow

01

Consultation

Scientific question and assay design.

02

Bespoke assay design

Custom cell-model build and tailored readouts.

03

Execution

Functional assays, arrayed screens, and bioinformatics.

04

Data delivery

Functional scores, variant-level classifications, and agreed deliverables.

Total timeline: typically 6–12 months for variant library projects; bespoke projects scoped per project. See Technology for the full process.

Active programmes

Active programs in DDR oncology and lysosomal storage disease with leading pharmaceutical companies, biotech innovators, and academic partners.

Partner with us

Get in touch.

Whether you are scoping a new project, exploring a partnership, or evaluating geneSlice for an upcoming trial, we would like to hear from you.

Book a meetingContact us