Demo

See MergenKit applied to your own data.

A demo session covers your modelling question, your data, and how the platform's three analytical modules fit your discovery workflow. There is no slide deck.

What MergenKit does

MergenKit is a no-code, cloud-native workspace where structure-activity and structure-property relationships are modelled, interpreted, and reported within a single guided workflow. Predictive modelling, transfer learning, and multi-objective optimization share the same configuration interface.

Who it's for

Pharmaceutical R&D teams, biotech startups, contract research organisations, and academic drug discovery groups working on biological activity, ADMET, and physicochemical property prediction.

What you get

A technical discussion of your data, a walkthrough of the relevant modules, and the option of a sandbox tailored to your dataset. No procurement process to clear first.

What happens next

Three steps from request to sandbox.

The aim is to confirm whether MergenKit fits your discovery question before either side commits effort.

  1. 01
    We review your use caseEvery submission is read in full. We confirm scope before responding.
  2. 02
    We schedule a technical discussionA short call covers the scientific question, the data, your team's modelling stack today, and what a useful proof point would look like.
  3. 03
    We set up a sandbox tailored to your datasetIf the workflow fits, we configure a sandbox keyed to your data so the proof of value runs on your chemistry, not on a generic benchmark.

Want to read more before the call? See the three analytical modules and the methodological principles.