Scientific expertise. Practical delivery.

AI consulting for life sciences.
From question
to working system.

Clean the data. Build the model. Connect the whole workflow. Start where you need us, with scientists who understand the problem.

Discuss Your ProjectFind Your Starting Point

ONE SCIENTIFIC PARTNER, THREE WAYS IN

01
Data foundationPrepare your data
02
Scientific intelligenceBuild your model
03
Operational adoptionConnect the whole workflow
A focused engagement or an end-to-end partnership.

Start with the challenge.
We’ll build from there.

Each service stands on its own. Together, they connect your scientific data to decisions your team can make with confidence.

01Data Cleansing for AI-Ready R&D

Better models start with
better data.

Turn fragmented scientific records into a foundation your models can learn from. Our proprietary Selective Cleaning approach weights evidence, resolves inconsistencies and standardises molecular representations.

  • Record-level quality weighting and conflict handling
  • Bias assessment across pooled, multi-assay datasets
  • Standardised and canonicalised molecular representations
WHAT YOU TAKE AWAY

A curated dataset, a quality assessment and a clear view of whether modelling is viable.

The data foundationIllustrative workflow
Assay recordsMolecular structuresMulti-omics data
SELECTIVE CLEANINGMake each record count.
WeightDe-noiseStandardise
Dataset readinessReview output
Molecular identityCanonicalised
Conflicting evidenceQuality weighted
Modelling feasibilityAssessed
From mixed sources to model-ready evidence.
A GOOD FIT WHEN

You have data across assays, labs or sources, but its quality and modelling potential are unclear.

02Custom AI for Pharma

Your scientific question.
A model built for it.

Work with a team that understands both the chemistry and the maths. We develop models around your scientific objective, then evaluate where their predictions are useful — and where they need caution.

  • Target, activity and binding prediction
  • Antigen, peptide and construct design
  • ADMET, virtual screening, yield and synthesizability
WHAT YOU TAKE AWAY

A versioned model and evaluation report, with uncertainty and applicability domain attached to predictions.

The prediction packageIllustrative workflow
SCIENTIFIC OBJECTIVEWhich candidates should we test next?
Custom AITrain · benchmark · refine
Prediction + contextDelivered together
01Prediction02Model version03Uncertainty04Applicability domain
A prediction is only useful when you know its limits.
A GOOD FIT WHEN

You have a defined prediction or design challenge that an off-the-shelf model cannot adequately address.

03End-to-End AI Enablement

From a promising model
to everyday use.

Bring data, modelling and deployment into one engagement. We connect scientific AI to your operating environment, with governed workflows and the documentation your team needs to take ownership.

  • The full CROSS pipeline, from mining to evaluation
  • Governed workflows with human review and traceability
  • Deployment, documentation and team handover
WHAT YOU TAKE AWAY

An integrated system in your chosen environment, with a defined validation and handover scope.

The operating environmentIllustrative workflow
YOUR CHOSEN ENVIRONMENT
On-premisePrivate cloudSaaS
01
Scientific data

Curated, connected, traceable

02
AI & workflows

Versioned models and evidence

03
Your team

Review, approve, act

Human review · Audit trail · Documentation
A connected workflow, with people in control.
A GOOD FIT WHEN

You need an integrated AI capability, with or without an in-house data-science team.

A clear path.
A tangible handover.

We agree on the scope and success criteria first. A focused project covers the stages you need; an end-to-end engagement connects them all.

  1. 01

    Frame the question

    Align on the scientific objective, available data and what success must look like.

    OutputAgreed scope
  2. 02

    Prepare the evidence

    Mine, curate and selectively clean chemical and multi-omics data.

    OutputCurated dataset
  3. 03

    Build the model

    Train against the use case, with model versions and repeatable experiments.

    OutputCandidate model
  4. 04

    Evaluate together

    Benchmark performance, inspect limitations and agree on readiness.

    OutputEvaluation report
  5. 05

    Put it to work

    Deploy into the chosen environment and equip your team to use the system.

    OutputSystem & handover

Designed for your environment

Your infrastructure.
Your operating context.

Choose on-premise, private cloud or SaaS, with per-suite or per-module licensing where applicable.

Governance built into the scope

We map workflow, documentation and validation needs to your quality system and applicable requirements.

GMP / CPOB (BPOM)21 CFR Part 11EU GMP Annex 11/15ICH Q9 / Q10ALCOA+ audit trail
Validation responsibilities and acceptance criteria are agreed for each engagement.

Expertise that connects
to the platform.

Our services can extend into Lead AI’s two connected suites, sharing identity, audit trails, documents and a knowledge graph.

01 / DISCOVERY

Research & Development

Virtual screening, peptide design, ADMET, yield and synthesizability — scientific workflows with the reasoning attached.

TherapeuticDiagnosticsADMET
02 / OPERATIONS

Quality & Manufacturing

AI software for pharma manufacturing and quality — history retrieved, evidence structured, every approval kept human.

CAPA

Bring us your scientific challenge.

Tell us what you want to predict, improve or put into practice. We’ll help identify the right starting point, the data you need and a sensible scope.

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

Discuss Your Project

Leave your details and someone from the team will be in touch.

Interested inPick one or more

We'll only use this to reply about your enquiry.