15% of all profit is donated to Heal Palestine and the Palestine Children's Relief Fund (PCRF)

Platform

One model, a tumor's whole molecular portrait.

Provotics takes a single RNA-seq expression profile and returns a structured, calibrated, explainable report, the kind of read that usually takes several separate assays and a lot of manual interpretation.

Capabilities

What it reads from one profile

Six linked predictions from the same transcriptome, each returned with its confidence and the genes behind it.

Site of origin

Classifies the tumor across 25 anatomical sites, ~94% balanced accuracy on held-out tumors.

Molecular subtype

Resolves intrinsic subtype where it applies, for example PAM50 on breast tumors.

Druggable targets

Surfaces over-expressed, druggable targets as research hypotheses toward candidate therapies.

Immune profile

Estimates the tumor immune context, from immune-cold to inflamed.

Calibrated confidence

Every call carries a calibrated probability, and low-confidence samples are flagged or abstained on.

Explainability

Each prediction is traceable to the driver genes behind it, so it stays reviewable.

Workflow

From raw counts to a readable report

01

Bring your profile

Start from a single tumor expression profile, gene-level counts or TPM.

02

QC and harmonize

The pipeline maps to a common gene space, normalizes, and screens quality before any prediction.

03

Read the portrait

An ensemble scores and calibrates the profile and returns the full report, with the genes behind each call.

See it on a sample, then apply

Explore a live sample report on the homepage, then request access to run your own profiles under our access agreement.

View the sample report