From Molecule to Patient, with AI
AI put to work from the lab to the ward, inside the rules that govern both.
Life-sciences and healthcare organisations carry some of the strictest data obligations in Europe. Trial data, patient records and manufacturing batches have to stay in the right jurisdiction, keep their full history, and be reachable only by the people allowed to see them, in a way that holds up in an audit.
On a Forge build, agents draft the document, map the data and watch the process, with the rules set by the organisation, and a clinician or a scientist signs off on anything that matters. What comes out is weeks saved and patients reached, not another pilot.
Real AI Impact Starts with NRY
Four companies came together under one name, and brought four ways of keeping a study. Now every study has one record that a regulator, an investor and its own team read the same way.
Centralised Study Model → Blackwave brings the protocols, case report forms and tabular data from every part of the organisation into one model of the study, mapped to the CDISC standards it already works to.
Automated Submission Drafting → Whitestorm agents assemble the submission: the datasets, the annotated documents and the code that reproduces them. The organisation's people review the pack instead of building it.
Standardised Data Mapping → Agents annotate and map the study data into the submission standards. A reviewer can overrule any machine decision before it lands, and every overrule is recorded.
Clinical Development
Site Selection & Feasibility
Give feasibility teams a live view of how each site performs, how it has recruited before, and who lives nearby, so the right sites are chosen before the first patient is enrolled.
Trial Planning & Design
Bring public databases, internal sources and study documents into one model that supports protocol design, budgeting and the running of the trial.
Clinical Data Automapping
Generative AI maps source data to the submission standards with a reviewer checking it: weeks of manual mapping become supervised hours.
Care Delivery & Hospital Operations
Patient Flow & Capacity
See beds, theatres and staffing together. Plan tomorrow's demand with today's data, and work through the elective backlog without adding capacity.
Care Pathway Coordination
Referrals, diagnostics and treatment steps coordinated across departments, so a patient moves through the pathway without falling between systems.
Population Health & Registries
Registries built from routine care data, with consent controlled tightly, for screening programmes, chronic-care management and research.
Commercial Operations
Provider Targeting & Segmentation
Turn the notes and reports your field teams already write into clear groups of doctors and clinics, so medical and commercial teams spend their time where a visit changes what happens to a patient.
Field Team Co-Pilot
A field rep asks a question in plain words and gets an answer built on the full history with that doctor, plus what to do next and why.
Impact Measurement
See what every change in targeting or engagement actually did, traced to the change that caused it, checkable by an auditor and read quarter by quarter.
Medical & Regulatory Review
Medical, legal and regulatory review goes faster with an assistant that flags a problem as the document is written and suggests wording that passes.
Research & Discovery
Real-World Evidence
Large real-world data sources brought together in a secure environment, open to analysts, with access governed to the row and the column.
Connected Lab
A digital twin of the laboratory: smoother operations, experiment analysis done automatically, and collaboration that speeds up discovery.
Biomanufacturing
Manufacturing & Quality Control
See a manufacturing delay before it lands, with an automatic alert on material and batch variance and the full history of every input.
Quality Assurance & Regulatory Reporting
Governance and approval workflows run automatically, with access tied to purpose, so data management stands up to an inspection.