ICDMO
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ICDMO CDMO
Computational CDMO

The Computational Layer
of Your CDMO Pipeline

ICDMO is a computational CDMO. We provide the in silico services that sit across the whole CDMO development workflow — target assessment, omics analysis, structural modelling, screening, molecule and sequence design, developability and process data analysis — so that laboratory and manufacturing effort goes to the candidates most worth testing.

In silico
Scope of Delivery
Versioned
Tools & Parameters
Ranked
Candidate Output
Scoped
Validation Planning
Across the Pipeline

Computational Support at Every Stage

Scoped Per Stage · Documented Methods · Stated Limits
Molecular Modelling
Molecular Modelling
Omics Data Analysis
Omics Data Analysis
Process Data Analytics
Process Data Analytics
Validation Planning
Validation Planning
How We Work

Claims We Can Actually Evidence.

In silico
what we deliver
A Computation-Only Scope
We deliver the in silico layer and say so plainly. No manufacturing claims, no facility claims, no capabilities we cannot evidence.
Versioned
tools & parameters
Reproducible by Default
Pinned tool versions, containerised environments and recorded parameters ship with the results, so the analysis can be re-run on new data.
Reported
confidence & limits
Uncertainty Made Explicit
Confidence metrics, assumptions and the limits of the applicability domain appear in every report — including when the answer is weak.
Scoped
downstream work
Validation Through Partners
Downstream laboratory work is designed with you, scoped separately, and executed through qualified partners rather than implied to be ours.
Modality Coverage

What We Compute, By Modality

🧬
Gene Therapy
Cargo and construct design, capsid sequence analysis, off-target prediction for editing tools
⚗️
mRNA Therapeutics
Sequence and codon optimisation, secondary-structure and stability modelling, UTR comparison
🔬
Antibody & ADC
Fv/Fab and VHH modelling, humanisation scoring, liability flags, linker and conjugation-site analysis
🧫
Cell Therapy
Expression construct design, single-cell and bulk omics analysis, clone ranking from your assay data
🔩
Protein & Enzyme
Structure prediction, mutation and stability scanning, expression and solubility prediction
💊
Small Molecule
Pocket assessment, docking and consensus ranking, property and liability filtering, MD follow-up
Platform Overview

One Computational Platform

ICDMO
Platform
AI & Compute
Bioinformatics
Modelling
Design
Analytics
Target ID
Hit Triage
Lead Ranking
Sequence Design
Developability
Construct Opt.
Process Data
Validation Plan
1
Written for the Bench
Results arrive as ranked candidates and a proposed experiment list, not as a folder of raw output for your team to reverse-engineer.
2
Modular Engagement
Engage for a single stage or across the whole pipeline. Each stage is scoped, priced and delivered on its own terms.
3
Documented Methods
Tool versions, parameters, data provenance and the reasoning behind each method choice are recorded as research-use deliverables.
4
Clear Data Handling
Ownership of your data and results, third-party software licences, storage location and deletion are agreed in writing before work starts.
How We Work Together

Three ways engagements are structured

Computational work is commissioned in a few recognisable ways across the industry. We use whichever fits the question rather than pushing every project into one contract shape, and we will say which one we think suits you — including when that is the smallest of the three.

Defined project

Fixed scope, fixed deliverables, fixed price

The most common arrangement. Scope, methods, deliverables and timeline are fixed in writing after a feasibility review, and the price is agreed before work starts. Suited to a screening campaign, an analysis, a design panel or a structural study — anything with a definable endpoint. Most projects on this site fall between a few working days and eight weeks.

Fits when
▸A single question with a definable answer
▸First engagement with us
▸Budget approved per project

Programme support

Rolling cycles alongside your chemistry or biology team

Computational support delivered as repeating cycles over months rather than as one delivery — design, prioritise, wait for your data, re-analyse, design again. Each cycle has a stated question and success criteria, and every cycle closes by comparing what was predicted against what was measured. This is how structure-based design and multi-round engineering campaigns actually work.

Fits when
▸Hit-to-lead and lead optimisation
▸Multi-round protein or enzyme engineering
▸Teams without in-house computational staff

Retained capacity

Agreed scientist time reserved each month

An agreed amount of scientist time is reserved for you each month and spent on whatever the programme needs, with priorities reset at a regular review. Suited to groups with a steady flow of varied questions that would be inefficient to scope individually. Unused capacity is discussed at review rather than silently consumed.

Fits when
▸Continuous, varied workload
▸Fast turnaround on small questions
▸Long-running partnerships
Confidentiality

How your material is handled

Your data stays yours
Sequences, structures, compound sets and results you send remain your property and are used only for the engagement they were supplied for.
Never used to train models for others
Client material is not used to train or enrich models for other clients, and is not added to any commercial dataset.
NDA before sensitive material
Ask for a non-disclosure agreement before sending unpublished sequences or structures. We would rather sign one first than receive material we are not yet obliged to protect.
Deliverables belong to the client
Under our standard terms, designs, models, analyses and reports produced for you are yours, including the right to file on them.
Returned or deleted on request
At the end of an engagement we return or delete project material on request and confirm in writing when deletion is complete.
Access limited to the project team
Within ICDMO, access is restricted to the scientists working on your project, and computation runs in environments separated between engagements.

Full detail is in our privacy policy; the terms that govern an engagement are those in the signed agreement, not on this page.

Getting Started

What to send, and what happens next

Useful to include in a first message

▸The decision you need to make, and by when — this determines method choice more than anything else
▸Target identifiers, sequences (FASTA) or structures (PDB / mmCIF), including unpublished internal structures under NDA
▸Compound sets as SMILES or SDF, omics data as FASTQ or count matrices, assay data with its units and conditions
▸What has already been tried, including what failed — failures usually narrow the approach faster than successes
▸Constraints that are not negotiable: species, modality, chemistry to avoid, regulatory context, budget window

Please do not send confidential sequences or unpublished structures in a first message. Ask for an NDA instead.

What happens after you write

1
Reply · Within one business day
A scientist reads your message and either asks the questions needed to scope it, or says directly that we are not the right fit.
2
Scoping call · 30–45 minutes
We discuss the objective, the data you hold and what the result has to support. No quotation is issued before this is clear.
3
Feasibility review · 2–5 working days
We check your inputs against the proposed approach and state plainly where they cannot support it. This step is where we say no if the answer is no.
4
Written proposal · 2–3 working days after review
Scope, methods, deliverables, timeline, price and the limitations we expect to report, all in writing before anything begins.

Where Are You in the Pipeline?

Tell us the stage you are at and the data you hold. We will identify the right computational entry point, say what it can and cannot resolve, and come back with a scoped proposal after a feasibility review.

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