Vmax gives biology-first teams a connected environment where secure infrastructure, AI-driven workflows, and specialist computational talent work together to turn your biology into faster, stronger drug development decisions and the evidence to support them.
The core of drug development is and remains biological insight. What has changed is the level of computational power now available to teams that know how to use it well.
Vmax exists so biology-first teams can use world-class AI and computation without having to become software companies. Vmax is not just software you have to operate, and not just a bench of contractors. It is a connected environment that includes both secure AI infrastructure and the specialist computational team to run it.
Your RNAseq, proteomics, single-cell, imaging, and clinical datasets are ingested into a secure, FAIR-compliant environment. Structured as knowledge graphs and connected across experiments so every analysis builds on what came before.
From AlphaFold and Boltz to single-cell pipelines built on Scanpy and CellRanger, from molecular dynamics in GROMACS to pathway analysis via Reactome and GSEA. Vmax continuously evaluates, integrates, and deploys frontier tools so your team never has to.
Vmax does not stop at differential expression tables or docking scores. The goal is target prioritisation reports, biomarker validation packages, mechanism-of-action evidence, and IND-ready data packages that move programmes through decision gates.
Your team brings the biology, hypotheses, experiments, and programme goals.
Vmax ingests raw FASTQ, BAM, H5AD, and structured clinical data into the secure Vmax AI Cloud with automated QC and harmonisation.
Orchestrated pipelines in Nextflow and Snakemake, GPU-accelerated ML models, protein language models, and expert interpretation working together at scale.
Results translated into recommendations, evidence packages, and next steps that move programmes forward.
Keep your team focused on disease biology, targets, mechanisms, and development strategy.
AlphaFold, ESM-2, Scanpy, GROMACS, Nextflow, custom ML models. Vmax tracks, validates, and deploys the latest tools so you get the results without the integration burden.
Work from one secure, connected environment instead of disconnected vendors, analyses, and file flows.
Get outputs that support programme decisions and the evidence to back them: investor narratives, partner discussions, and IND-oriented development packages.
For companies with strong biology and limited bandwidth to industrialise modern computational workflows.
For teams that want a stronger AI-driven analytics environment behind their platform or portfolio.
For organisations that want portfolio companies to access better computational execution without each company building everything independently.
The Vmax AI Cloud is the secure foundation that makes this model work. Built on enterprise-grade cloud infrastructure with SOC 2-aligned practices, GPU orchestration for compute-intensive workloads, and automated pipeline execution via Nextflow and Snakemake. Your data stays encrypted, version-controlled, and traceable from raw input to final deliverable.
Vmax brings together specialist computational scientists, bioinformaticians, and ML engineers, and gives them a connected environment with shared pipelines, GPU infrastructure, and version-controlled data systems.
Vmax is not just software you have to operate, and not just a bench of contractors. It is a connected environment that includes both secure AI infrastructure and the specialist computational team to run it.
The core of drug development is and remains biological insight. Vmax exists so biology-first teams can use world-class AI and computation without having to become software companies.
If your team has strong science and ambitious development goals, Vmax can provide the connected environment, AI-driven workflows, specialist computational talent, and secure infrastructure to turn your programmes into faster, stronger decisions and the evidence to support them.
Tell Vmax about your programme, your data, and the milestone ahead. The team will show how a connected environment with secure infrastructure, AI-driven workflows, and specialist computational talent can move your science further, faster.