AI Tools for Research Institutions
Model-ready research data, and gains anyone can check.

Turn source material into structured scientific data, and keep the provenance, preparation and benchmark clear enough for others to reproduce.

Talk to UsExplore Your Challenges
BUILT AROUND YOUR WORK

From scattered evidence to reproducible research.

A promising model starts long before training: with source quality, deliberate data preparation and an evaluation that can be checked independently.

Research TeamsIllustrative workflow · explore a challenge
WHERE THE WORK GETS STUCK

Useful findings sit across papers, tables, scanned documents and assay collections rather than one usable dataset.

Papers, patents & scanned records
Tables, images & assay collections
WHAT YOUR TEAM GETSFor human review

A cited research evidence set

  • Structured fields extracted
  • Source references retained
  • Ambiguities marked for review
DECISION OWNERResearch lead
HOW WE HELP

Structure the relevant information while retaining citations and source context for researcher review.

Explore the relevant workflowsHigh-Throughput ScreeningTherapeutic
A concrete research deliverableData card

Every dataset records its origin, treatment, test split and version.

Explore the foundation
WHAT WE BRING TO THE TABLE

Research dataset preparation, and the workflows it unlocks.

We scope the combination around your process and data. Each workflow below has its current development status shown.

01Supported workflow
Research & Development

Diagnostics

Simulate 1%. Predict the rest.

Simulate a representative sample, train on it, and score the full library before the bench.

Explore Diagnostics
02Supported workflow
Research & Development

Therapeutic

A shortlist you can defend.

Curated data — including drug repurposing sets — narrowed in silico to a ranked shortlist, reasoning attached.

Explore Therapeutic
03Supported workflow
Research & Development

ADMET

Catch liabilities early.

Stereochemistry kept as signal, and every model checked against real chemistry — not dataset artefacts.

Explore ADMET
More workflows for Research Teams2 more
THE OUTCOME TO DESIGN FOR
  • A model-ready dataset from your existing data
  • Structured, cited extraction from research sources
  • A benchmark that proves gains, not just claims them
A PRACTICAL FIRST CONVERSATION

Start with a research question and the data already available to answer it.

You do not need a finished specification. Start with the work you want to improve.

01 / YOUR CONTEXT

What helps us understand the problem

  • The research question and source collection
  • A sample dataset or extraction task
  • Your baseline and evaluation requirements
02 / OUR DISCUSSION

What we’ll work through together

  • What can be extracted and prepared reliably
  • How provenance and reproducibility should be recorded
  • What a defensible comparison would look like
Bring the people closest to the work
Head of R&DResearch leadershipHead of Data Science or AI

Give your research data a dependable foundation.

Tell us what you’re investigating and where the data lives. We’ll scope the preparation, extraction or evaluation work around that question.

Bring your challenge.
Let’s find the right next step.

Talk Through Your Challenge
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Pharmaceutical ManufacturersGeneric ManufacturersCDMOsBiotech & Discovery

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