Padma leads everything. Scientists stand beside her.
Padma, our AI scientist, reviews the design, runs the analysis and interprets the results for every assay in the catalogue. Scientist-led analysis and the end-to-end package are available side by side.
Padma at the core. Scientists side by side.
Padma, AI scientist
You upload a sample sheet and data. Padma reviews the design, prepares the run, starts it when you press Start and interprets the results.
- Every assay in the catalogue
- Self-serve, with a scientist one message away
Scientist-led analysis
You send the data. Our scientists design, run, interpret and deliver everything.
- Every assay in the catalogue
- Signed interpretation
Sample-to-answer
You send samples. Sequencing through qualified partner laboratories, independent QC, analysis and the finished study, under one contract.
- One accountable partner end to end
- Repository submission and long term support
What we analyse
Every assay runs end to end with Padma. Engines, references and the method registry are updated continuously.
Open the pipeline catalogueWith Padma in the workspace
- Single-cell RNA
- Single-cell RNA + protein (CITE-seq)
- Single-cell ATAC / multiome
- Single-cell DNA + protein (Tapestri)
- Spatial transcriptomics
- Bulk RNA
- WES / WGS
- Targeted DNA panels (CH, MRD)
- DNA methylation
- Immune repertoire (TCR / BCR)
- Genetic association (GWAS / PRS)
- Long-read
- Flow & mass cytometry
- Proteomics & immunoassays
- Imaging
- Drug response & synergy
- qPCR
- Survival & biomarkers
- Multi-omic integration & biomarkers
Specialist modules, where generalist platforms stop.
MRD analysis (research-grade)
With Padma in the workspaceMeasurable-residual-disease analysis from NGS with an explicit limit of detection on every report. Research-grade; never a clinical result.
Clonal evolution & phylogeny
With Padma in the workspaceClonal architecture and how it changes under treatment, from bulk VAF or single-cell DNA.
Clonal hematopoiesis (CH/CHIP)
With Padma in the workspaceCH calling, VAF trajectories and risk annotation from panels, WES or WGS, in any cohort where CH is a covariate or an endpoint.
Same-patient multi-omic integration
With Padma in the workspaceLinking genotype, transcriptome and surface phenotype across modalities measured on the same individual.
Padma sets your results against the biobank: genomic, proteomic, flow and more, organised by disease.