Model the cost-to-value path of your drug asset.

AssetLens estimates development costs, commercial potential, and NPV across go-alone and outlicensing scenarios.

Integrate now Clients

How much revenue could this asset generate?

Market size & patient population
Pricing assumptions & therapy positioning
Market share & adoption scenarios
Year-by-year revenue forecast

Integrate now

What kind of licensing deal could this asset support?

Comparable licensing deals
Upfront, milestones & royalties
Stage-based deal logic
Negotiation evidence for BD teams

Integrate now

How much will it cost to move this asset forward?

Clinical development cost by phase
Manufacturing & launch investment
Commercialization cost assumptions
Cost timeline & capital planning

Talk to Solutions Archite

Which path creates the strongest business case: develop, license, or wait?

Go-alone scenario
Outlicense-at-IND scenario
Outlicense after Phase 1 / Phase 2 scenario
Risk-adjusted business case

Talk to Solutions Architect

Real implementations of OmicsLayer™ – adapted to each client’s data, infrastructure, and operational needs.

Based on our clients’ experience, OmicsLayer™ saves around €40k–120k/year in avoided manual internal effort.

All Case Studies

Trusted by Industry Leaders:

Secure on-prem/private cloud installation process

Discovery & data audit

1–2 weeks

Workshops with scientific, data, IT, and compliance teams. We define systems, datasets, permissions, and the first high-value use case.

Data & architecture mapping

2–3 weeks

We map data flows, metadata, access logic, pipeline dependencies, and integration points.

Build & integration

4–8 weeks

We connect priority systems, build ingestion/QC workflows, configure the semantic layer, and prepare the AI query interface.

Pilot validation

2–4 weeks

We test the first use case on real data, validate answer quality, review traceability, and tune workflows with domain experts

Scale & optimization

Ongoing

Add new systems, cohorts, data modalities, dashboards, partner workspaces, and additional AI-assisted workflows.

Discovery & data audit

1–2 weeks

Workshops with scientific, data, IT, and compliance teams. We define systems, datasets, permissions, and the first high-value use case.

Data & architecture mapping

2–3 weeks

We map data flows, metadata, access logic, pipeline dependencies, and integration points.

Build & integration

4–8 weeks

We connect priority systems, build ingestion/QC workflows, configure the semantic layer, and prepare the AI query interface.

Pilot validation

2–4 weeks

We test the first use case on real data, validate answer quality, review traceability, and tune workflows with domain experts

Scale & optimization

Ongoing

Add new systems, cohorts, data modalities, dashboards, partner workspaces, and additional AI-assisted workflows.

Who it is for

Built for companies where biomedical data already exists

1 Molecular diagnostics companies

Connect variant, assay, phenotype, and evidence data into faster interpretation workflows.

2 Modality-specific design modules

Unify multi-omics and clinical metadata to support discovery, validation, and translational proof-of-concept.

3 Clinical genomics labs

Reduce manual interpretation and reporting burden with traceable, reviewable AI-assisted workflows.

4 Biobanks and research hospitals

Make biospecimen, cohort, omics, and clinical data queryable under strict governance.

5 Pharma translational medicine teams

Move from scattered datasets to reusable biomarker and patient stratification intelligence.

6 CROs and lab networks

Integrate LIMS/ELN, QC, assay outputs, and reporting workflows into one operational intelligence layer.

1 Molecular diagnostics companies

Connect variant, assay, phenotype, and evidence data into faster interpretation workflows.

2 Modality-specific design modules

Unify multi-omics and clinical metadata to support discovery, validation, and translational proof-of-concept.

3 Clinical genomics labs

Reduce manual interpretation and reporting burden with traceable, reviewable AI-assisted workflows.

4 Biobanks and research hospitals

Make biospecimen, cohort, omics, and clinical data queryable under strict governance.

5 Pharma translational medicine teams

Move from scattered datasets to reusable biomarker and patient stratification intelligence.

6 CROs and lab networks

Integrate LIMS/ELN, QC, assay outputs, and reporting workflows into one operational intelligence layer.

Start with a free demo on your own data

See how the solution works in practice before committing to deployment or integration.

No-charge initial demo

Get in touch with us. 
We’re here to assist you.

Andrew Markov

Delivery Director

Chat in WhatsApp

Model the cost-to-value path of your drug asset.

How much revenue could this asset generate?

What kind of licensing deal could this asset support?

How much will it cost to move this asset forward?

Which path creates the strongest business case: develop, license, or wait?

Based on our clients’ experience, OmicsLayer™ saves around €40k–120k/year in avoided manual internal effort.

Secure on-prem/private cloud installation process

Discovery & data audit

1–2 weeks

Data & architecture mapping

2–3 weeks

Build & integration

4–8 weeks

Pilot validation

2–4 weeks

Scale & optimization

Ongoing

Discovery & data audit

1–2 weeks

Data & architecture mapping

2–3 weeks

Build & integration

4–8 weeks

Pilot validation

2–4 weeks

Scale & optimization

Ongoing

Built for companies where biomedical data already exists

1 Molecular diagnostics companies

2 Modality-specific design modules

3 Clinical genomics labs

4 Biobanks and research hospitals

5 Pharma translational medicine teams

6 CROs and lab networks

1 Molecular diagnostics companies

2 Modality-specific design modules

3 Clinical genomics labs

4 Biobanks and research hospitals

5 Pharma translational medicine teams

6 CROs and lab networks

Start with a free demo on your own data

Get in touch with us. We’re here to assist you.

Andrew Markov

Your AI Idea, Our Technical Precision

Get in touch with us. 
We’re here to assist you.