Services

End-to-end computational biology support

For teams from preclinical biotechs to large pharma — across cardiovascular, fibrosis, immunology, and neuroscience, from discovery to the clinic and back.

01

Multi-Omics Data Analysis

Comprehensive analysis of high-dimensional biological datasets — RNA-seq, single-cell RNA-seq, proteomics, and integrated multi-omics approaches. From experimental design through to publication-ready results.

  • Bulk and single-cell RNA-seq analysis
  • Spatial transcriptomics
  • Proteomics data analysis
  • Multi-omics data integration
02

AI for Data Analysis

Turning data and knowledge into decision-ready insights — practical LLM tooling that accelerates analysis and evidence-gathering, with the guardrails to make it trustworthy.

  • LLM-accelerated analysis of RNA-seq, proteomics, clinical-trial, and real-world data
  • Knowledge discovery from biomedical literature, internal documents, and patents
  • Custom LLM tools and workflows tailored to your team’s data and questions
  • Checking LLM outputs against ground truth — accuracy benchmarks and hallucination detection

Preview where this is headed — TensorTarget, an AI co-scientist for ranked, testable drug-target hypotheses (in development)

03

Targets, Biomarkers & Patient Stratification

Human genetics and multi-omics evidence for the decisions that shape a program — which target, which indication, which patients — grounded in causal evidence, in both directions between discovery and the clinic.

  • Target identification from human genetics and multi-omics evidence
  • Indication expansion — where a target’s biology applies across diseases
  • Biomarker discovery from patient and preclinical data
  • Biomarker panel design
  • Patient stratification for trials and programs
  • GWAS, PheWAS, eQTL, pQTL, and biobank-scale genetics (UK Biobank and similar)

Our expert-led service for this — TensorTarget, genetics-first, cell-type-resolved target hypotheses

04

Bioinformatics Pipeline Development

Custom bioinformatics pipelines across any omics technology — NGS, proteomics, spatial transcriptomics, single-cell, metabolomics — built for reproducibility, scalability, and integration with your existing infrastructure.

  • Pipeline development across NGS, proteomics, spatial, single-cell, and other omics modalities
  • Custom algorithm development for sequencing and high-dimensional omics data
  • Pipeline optimization and modernization
  • Reproducible & auditable analysis — make your computational work reviewer-ready and audit-traceable

Not on this list?

If your question doesn't fit the four items above, that's usually a sign it's the right kind of problem for a conversation. Talk to us →

Confidentiality & data handling

Whatever the service, every engagement runs on the same footing: your data and IP stay yours.

  • NDA-first — a mutual NDA before any data or program detail changes hands.
  • Nothing client-identifying is ever published — no client names, logos, targets, compounds, or data appear here or anywhere without your written permission.
  • Your data stays in your environment where possible; otherwise it is isolated, encrypted, and deleted when the engagement ends.
  • AI with guardrails — client data is used only for your work and never to train models; specific data-handling terms, including no-retention options, are agreed per engagement.

Have a project in mind?

Every engagement starts with a conversation. Tell me what you're trying to solve.

Get in Touch