Evidence-based strategy recommendations
ClinGine™
The evidence was always there.The tools to connect it weren't.Now they are.
Clinical evidence engine for source-linked strategy, trial design and scientific decision support.
Scroll for the evidence engine
Explore ClinGine
Evidence strategy, study planning and medical communication connected by one traceable engine.
ClinGine connects trial registries, literature, endpoints, dose patterns, safety signals and prior study designs into a structured evidence base for clinical strategy recommendations, development planning and medical communication.
Read about ClinGineUse the password-protected prototype to review the Trial Evidence Engine, Evidence Strategy Report module and Power Calculator.
Open Test PlatformThe mission is to help clinical researchers and lean life-science teams design better studies faster, while keeping every important recommendation traceable to evidence and open to expert review.
View mission and visionClinGine is open to early conversations with clinical researchers, evidence reviewers, medical writers, biostatistics collaborators and product builders.
View careersIt helps teams interpret prior trials, endpoints, safety signals and study-design precedent faster.
It turns that evidence into clearer recommendations for designing better clinical studies.
What We Do
Evidence-based strategy support for clinical research and emerging life-science teams.
ClinGine helps teams understand what previous evidence means, decide what should be tested next and communicate the scientific rationale with traceability.
Evaluate
Evidence Strategy and Programme Assessment
Outcome: Understand what the evidence means for this specific programme.
Client questions
- Is the target-indication rationale sufficiently supported?
- Does the evidence justify further investment?
- Which indication or patient segment is best supported?
- What did comparable programmes demonstrate?
- What evidence could invalidate the programme thesis?
Approach
We define the decision, build a scoped evidence protocol, extract relevant claims and results, assess directness to the programme and separate reported facts from interpretations and hypotheses.
Typical deliverables
Targeted or systematic evidence review, translational evidence assessment, clinical evidence synthesis, comparable-programme landscape, failure reconstruction, claim-level evidence matrix and conditional proceed, modify, pause or stop recommendation.
Review model
Material conclusions are checked against source evidence and reviewed according to the evidence type and intended use.
Scope clarity
This service is built for evidence strategy, programme assessment and scientific planning. Investment, regulatory and final development decisions require appropriate professional review.
Develop
Development and Study Strategy
Outcome: Know what evidence to generate next and what result should determine the next commitment.
Client questions
- What should be tested next?
- Is the programme ready for clinical-entry planning?
- Which population, comparator and endpoint are most defensible?
- Which result should trigger further investment?
- Which result should lead to modification or stopping?
Approach
We translate evidence gaps into critical assumptions, development options, study concepts and decision gates that fit the stage, indication, modality and claim.
Typical deliverables
Target Product Profile, evidence-generation plan, study-design benchmarking, population and biomarker strategy, endpoint and comparator assessment, trial concept, development roadmap and decision criteria.
Review model
Clinical, translational and statistical review can be layered according to the decision and planned use.
Scope clarity
This service focuses on development and study strategy. Trial sponsorship, monitoring and operational delivery remain with the sponsor, CRO or responsible study team.
Communicate
Scientific and Medical Communications
Outcome: Communicate the scientific case clearly without losing accuracy, limitations or traceability.
Client questions
- How should the programme be explained to investors or partners?
- Which claims are supported and which require qualification?
- What should become a manuscript, white paper, poster or diligence deck?
- How can technical evidence remain accessible without becoming vague?
Approach
Reviewed evidence is converted into stakeholder-appropriate materials with clear claims, limitations, references and source-linked supporting tables.
Typical deliverables
Scientific manuscripts, systematic-review manuscripts, white papers, scientific slide decks, investor narratives, partnering materials, abstracts, posters, plain-language summaries and evidence-based website content.
Review model
Drafts are checked against the approved evidence foundation and revised for purpose, audience and scientific accuracy.
Scope clarity
This service focuses on reviewed, evidence-grounded communication with traceable claims, clear limitations and audience-appropriate scientific language.
How It Works
A reviewed workflow from programme question to client-ready output.
Automation supports evidence retrieval and structure. Expert interpretation remains accountable for the final recommendation.
Initial programme discussion
Clarify the asset, stage, audience, decision deadline and intended use of the work.
Decision-question definition
Convert a broad request into a decision that can be answered through evidence.
Scope and evidence protocol
Define sources, inclusion logic, extraction fields, review level and known limitations.
Client evidence intake
Collect only appropriate, agreed materials through secure channels after initial scoping.
Platform-assisted evidence work
Use the internal workspace to organise sources, extract claims and structure findings.
Analyst verification
Check material claims against source records and flag uncertainty, conflict and directness.
Expert interpretation
Scientific, clinical or statistical specialists interpret findings in the context of the programme.
Client workshop
Discuss evidence implications, assumptions, development options and decision thresholds.
Final deliverables
Provide reviewed reports, evidence matrices, blueprints, narratives or decks for the agreed purpose.
Optional updates
Maintain the evidence foundation as new data, publications or programme decisions emerge.
Automation accelerates the work. Experts retain accountability.
Platform
The evidence workspace behind ClinGine's strategy recommendations.
The platform is being developed as a reviewer-guided workspace for evidence interpretation, trial planning and scientific strategy.
Source management
Organise literature, registries, disclosures and client-approved materials inside a programme evidence foundation.
Structured extraction
Capture endpoints, outcomes, safety, comparators, populations, assumptions and limitations in comparable fields.
Claim traceability
Connect material statements to source records, supporting results, review status and intended use.
Programme mapping
Link evidence to target, indication, modality, population, biomarker and development-stage context.
Critical-assumption tracking
Identify assumptions that could change the programme decision and define the study that can test them.
Review and deliverables
Support approval workflows, living Target Product Profiles and version-controlled reports, decks and matrices.
Who We Help
Evidence strategy for lean teams making serious development decisions.
ClinGine is designed for organisations with promising science, limited internal evidence capacity and an approaching investment, development or communication decision.
Emerging biotech
Support target, asset, indication and proof-of-concept decisions before a large internal team is in place.
Virtual biopharma
Provide a maintained evidence foundation across outsourced scientific, clinical and writing workflows.
Academic spinouts
Translate academic evidence into development logic, investor-ready narratives and next-study plans.
Small biopharma
Support lean teams evaluating new indications, comparators, endpoints and external opportunities.
Translational programmes
Clarify whether biological rationale, model evidence, biomarkers and clinical precedent justify the next commitment.
Common buying moments
- Before choosing an indication
- Before committing to IND-enabling work
- Before clinical-entry planning
- Before designing a proof-of-concept study
- Before fundraising, partnering, licensing or acquisition
- After a negative or ambiguous result
- Before publication or major scientific disclosure
About ClinGine
ClinGine turns fragmented clinical evidence into strategy recommendations.
The platform is being built to reduce fragmented evidence review and help research teams move from scattered sources to clearer, source-linked trial planning decisions.
What ClinGine is
ClinGine combines software-assisted evidence retrieval, structured extraction and scientific reasoning workflows. It is designed for clinical researchers, academic groups, emerging biotech teams, CRO-facing teams and small pharma groups that need to understand previous trial evidence before designing or communicating a study.
The current prototype includes a password-protected Trial Evidence Engine, Evidence Strategy Report module and Power Calculator. These modules are being benchmarked and improved before wider access.
What problem it is trying to solve
Clinical-development decisions often depend on information scattered across trial registries, journal articles, endpoint tables, dose descriptions, adverse-event reports, regulatory precedent and company disclosures. Reviewing that evidence manually is slow, inconsistent and difficult to update.
ClinGine aims to make that process more traceable by connecting important statements to sources and converting evidence into study-design, endpoint, safety and communication recommendations.
Important principle
ClinGine supports scientific, clinical, statistical and regulatory responsibility by making evidence organisation, assumptions and recommendations easier to review.
Mission & Vision
Make clinical evidence easier to trust, interpret and use.
ClinGine's long-term vision is a clinical strategy workspace that supports teams from evidence review to trial design, scientific writing, recruitment planning and later study-support workflows.
Help teams design better studies faster.
By organising evidence, precedent and uncertainty in one place, ClinGine aims to reduce the time spent moving between registries, papers and disconnected documents.
A trusted evidence layer for clinical strategy.
The goal is a source-linked evidence workspace that supports trial design, evidence synthesis and scientific communication with transparent reasoning.
Traceability before confidence.
Every important recommendation should show where it came from, what evidence supports it and which assumptions still require expert review.
Reviewer prototype · live engine
ClinGine™ Test Platform
The working prototype is available for approved reviewers. Use the live modules to review trial evidence, generate strategy-focused evidence reports and test statistical planning assumptions while benchmarking and expert feedback are underway.
Choose a reviewer module
Select one ClinGine module
Open the module you want to review. Trial Evidence Engine and Evidence Strategy Report require the access code shared with reviewers.
Module 02 · Private evidence strategy report
Disease-to-development evidence strategy report
Search public registries, PubMed/PMC, and Europe PMC, then generate a source-traceable scientific evidence synthesis covering biological rationale, preclinical translation, clinical precedent, safety precautions, failed or stopped studies, and development implications.
Use only public or non-confidential information here.
This password-protected mode is designed for early landscape review using public sources. Do not enter unpublished mechanisms, private protocols, company-confidential data, patient-identifiable information, or patent-sensitive claims.
Ready to generate a source-traceable scientific evidence synthesis.
-
-
-
-
Module 01 · Core trial evidence platform
Source-linked trial evidence engine
Use this gated module when you want ClinGine to convert matched trial records into endpoint, sample-size, safety, and design rationale.
Private engine
The ClinGine test platform is password protected.
The Trial Evidence Engine and Evidence Strategy Report are private while benchmarking, legal review, and expert feedback are underway.
Private prototype
Unlock the live trial-analysis engine.
This workspace is currently shared only with selected professors, clinicians, researchers, CRO, and pharma reviewers while benchmarking and legal review are underway.
Ready
matched records shown
median enrollment
common duration
endpoint evidence
recruitment timeline
Recommendation & Scientific Rationale
Run an analysis to generate design guidance.
Primary Endpoints
Click an item to view source trialsAdverse Events
Click an item to view source trialsSerious Adverse Events
Click an item to view source trials and publicationsSample-Size Planning Detail
Source Trials
Traceable source records
Matched Trial Evidence
| Trial | Design | Sample | Endpoints | Outcomes / Safety |
|---|---|---|---|---|
| Run an analysis and matched trial records will appear here. | ||||
Module 03 · Statistical planning
Power and sample-size calculator
Use this inside the product workspace to test endpoint assumptions before final biostatistical review.
Planning calculator
Statistical Power Calculator
Enter endpoint assumptions to calculate the required sample size.
Two-arm superiority sample size for continuous or binary endpoints, with alpha, power, allocation ratio, and dropout allowance.
Final protocol values require estimand, endpoint timepoint, variance/event-rate evidence, multiplicity, stratification, interim analysis, and statistician sign-off.
The calculator sits inside the private workspace so evidence synthesis, trial design, and statistical assumptions stay in one reviewed workflow.
Careers
Help build the evidence strategy layer for clinical research.
ClinGine is early, focused and scientific. We are interested in people who care about evidence quality, clinical reasoning, product design and responsible use of automation in clinical development.
Current focus
ClinGine is not presenting large formal hiring claims yet. At this stage, we welcome expressions of interest from people who can strengthen the product, evidence methodology and scientific quality of the platform.
Email ClinGineClinical evidence analysts
People comfortable reading protocols, publications, endpoints, outcome tables and safety data.
Medical writers
Writers who can turn complex evidence into precise manuscripts, decks and evidence summaries.
Biostatistics collaborators
Specialists who can help benchmark assumptions, power calculations and statistical interpretation.
Product and engineering
Builders interested in traceability, evidence databases, scientific UX and secure research workflows.
Contact
Discuss your programme with ClinGine.
Use the form for initial scoping, collaboration enquiries or expert feedback. Please do not include confidential or patient-identifiable information.