Clinical metadata pipeline
Metadata is scattered and reviews are slow. We centralize and automate quality to accelerate validations.
BIOLOGY & LIFE SCIENCES
Accelerate your biological research.
We build bioinformatics tools and data pipelines for labs and biotechs: dataset management, clinical metadata, research process automation and regulatory compliance.
Prefer to talk before formalizing anything? 20 min by video or over coffee.
Founder-led experience before Averiane
FOUNDER EXPERIENCE — ANONYMISED REAL-WORLD CASE
Rare diseases, better understood: a training interface for healthcare professionals.
Sign-up rate up 600%, average session time 2.5× longer.
Context
An anonymised real-world engagement to which one of Averiane’s founders directly contributed. The work focused on designing and delivering an interface dedicated to training healthcare professionals on rare diseases.
Problem
The organisation wanted to train healthcare professionals on rare diseases that most of them encounter only very occasionally. Existing information formats — documents, presentations, events — remained weakly engaging and made it impossible to track who had actually been trained, or how far they had progressed.
The initiative also had to overcome a concrete obstacle: turning expressed interest into actual sign-ups, through a simple access journey and content designed for the real time available to healthcare professionals.
Intervention
Design and delivery of an interface dedicated to healthcare professionals, focused on rare-disease training and on measuring real engagement.
- Progressive learning journeys structured around the real time available to healthcare professionals
- Content organised by disease, with direct access to relevant information
- Simplified sign-up and access journey
- Engagement tracking: sign-ups, progression and session time
- Iterative refinement of content and journeys based on observed usage
The engagement also covered advice on the engagement journey: how sign-up is requested, how content is broken down and how progress is made visible directly influence the sign-up rate and usage duration.
Operational workflow
- Sign-up
- Learning journey
- Content by disease
- Progress tracking
- Ongoing engagement
Constraints
Content had to remain scientifically accurate and validated, while being presented accessibly to time-pressed professionals. The system had to protect user data confidentiality and remain simple to navigate, including for profiles unfamiliar with this type of interface.
Results
The sign-up rate increased by 600% after the interface was launched, and average session time grew 2.5×: healthcare professionals not only sign up more, they stay significantly longer.
These two indicators measure different things: the system’s ability to convert interest into participation, and the content’s ability to hold attention on demanding subjects such as rare diseases.
Our contribution
Interface design and development, learning-journey structuring, engagement advice and continuous iteration based on usage.
- +600%
- sign-up rate
- 2.5×
- average session time
Learning journeys
Structured progressions adapted to the real time available to healthcare professionals.
Content by disease
Information organised by rare disease, with direct access to relevant content.
Sign-up and access
A simplified sign-up journey designed to turn interest into participation.
Measured engagement
Sign-up, progression and session-time tracking to iterate on the system.
Handover and collaboration
The teams were guided in structuring learning journeys and evolving content, so the interface can keep pace with future training campaigns.
Anonymised real-world case: the organisation, detailed pathologies and detailed usage data are not disclosed.
Founder-led experience before Averiane
FOUNDER EXPERIENCE — ANONYMISED REAL-WORLD CASE
Reliable study metadata: automating generation and management, from Protocol to ADaM tables.
Centralised generation and management of clinical study metadata, from Protocol to ADaM tables.
Context
An anonymised real-world engagement to which one of Averiane’s founders directly contributed. The work focused on designing and delivering a platform that automates the generation and management of clinical study metadata.
Problem
Clinical study metadata — Protocol, CRF, SDTM, ADaM — was produced and maintained manually, in files scattered across teams. Every protocol change had to be manually carried over into each artefact, with a risk of errors, diverging versions and significant preparation time.
This made it hard to guarantee consistency between artefacts: a single change might be correctly reflected in the CRF but missed in the SDTM or ADaM tables, with downstream consequences for submission and analysis.
Intervention
Design and delivery of a centralised platform for generating and managing the metadata of an entire clinical study.
- Structured generation of metadata from the study protocol
- Alignment of CRF, SDTM and ADaM artefacts on a single source of truth
- Version management and change traceability
- Automated consistency checks between artefacts
- Reduced manual re-entry and back-and-forth between teams
The work also covered structuring the business rules attached to the standards in use, so the automation would remain faithful to the organisation’s conventions and to team expectations.
Operational workflow
- Protocol
- Metadata generation
- CRF
- SDTM
- ADaM
- Versions & traceability
Constraints
The platform had to respect domain standards (CDISC: SDTM, ADaM) and guarantee change traceability — essential in a regulated environment. It also had to remain adoptable by teams whose habits were built on historical files, without reproducing all of their complexity.
Results
The platform brought study metadata generation and management into a single environment, from Protocol to ADaM tables. CRF, SDTM and ADaM artefacts are now aligned on a single source, with version and change traceability.
Metadata preparation was relieved of repetitive manual re-entry, and automated consistency checks make discrepancies between artefacts detectable much earlier in the study lifecycle.
Our contribution
Platform design, metadata generation automation, version-management structuring and support for team adoption of the new tool.
Automated generation
Metadata produced from the protocol, without repetitive manual re-entry.
Artefact consistency
CRF, SDTM and ADaM aligned on a single source of truth, with automated checks.
Versions & traceability
Change history and traceability of evolutions on every artefact.
Domain standards
Compliance with CDISC conventions (SDTM, ADaM) for clinical studies.
Handover and collaboration
The teams were guided in adopting the platform and structuring their metadata, so usage becomes self-sufficient over successive studies.
Anonymised real-world case: the organisation, the studies involved and operational data are not disclosed.
Expertise built within demanding organizations.
.webp)
Sector specifics
What makes this sector demanding
R&D experience
Vivien NOEL
Co-founder & technical lead
Delivery & quality
Soraya NOEL
Co-founder & delivery
Available for a 20-min call or coffee before anything is formalized.
YOUR CONTACT
Our experience in biology and R&D
Vivien built a dual skill set in science and data-oriented web development: biostatistics at Tecnológico de Monterrey and CSIRO, a master’s in biotechnology at UANL, then four years at Sanofi R&D on sensitive projects — metadata, graph RAG, pipeline automation, and decision-support tools for research.
Soraya brings operational rigor and project management. She ensures every deliverable stays aligned with business teams, regulatory constraints, and research objectives.
Meet usTypical use cases
Where we accelerate research
Quality & traceability
Lot traceability tool
You waste time tracing sample origin. We deliver a traceability app connected to your LIMS.
Multi-omics dashboard
Genomic/proteomic data lives in silos. We bring it together in an exploratory dashboard.
Research report automation
Reports take days. We automate their generation and review.
MVP ideas
MVP ideas for biology and research
Simulate the impact of a first measurable version before building it.
Clinical metadata portal
Centralize metadata entry, validation and extraction to speed up regulatory reviews.
Explore this MVPReproducible data pipeline
Automate data processing steps to guarantee traceability and reproducibility of analyses.
Explore this MVPLab data quality cockpit
Spot anomalies, duplicates and inconsistencies in research data before they bias analyses.
Explore this MVPYour topic is not listed?
Let’s talk for 20 min to find the right angle and a measurable first version.
Discuss your projectWhy us
A team that speaks science and delivery
We understand research data, compliance stakes, and the pressure of R&D deadlines. Vivien translates scientific problems into reliable technical solutions. Soraya drives quality, documentation, and team handover.
Book a 20-min strategy callWe have worked at:
How it works
A clear process, from scope to handover
Scope, timeline and price agreed upfront.
01
Objectives, scope and fixed price
We frame the need, expected deliverables and fixed price together. A contract formalizes the scope and expected results.
02
Delivery with metrics
Measurable increments demonstrated weekly, with a shared dashboard and quality indicators.
03
Validated result = billing
You only pay at validated milestones. We document, train your teams and hand over for autonomous operation.
Training and handover included: our leads document, explain and train your teams for autonomous operation. and project continuity with the same best practices.
Real questions
Wondering about something?
Direct answers about biology, research and data projects.
Biostatistical programming, clinical metadata, research pipelines. We have worked with labs and pharma R&D.
Yes, depending on the APIs and formats approved by your IT. We favor standard and secure integrations.
Automated tests, versioning, transformation documentation and quality indicators.
Yes. We deliver a documented technical foundation and train your teams for gradual handover.
Dashboards, data pipelines, metadata tools, automations. Always with run documentation.
RESOURCES
Articles on Biology & Life Sciences
Practical methods, feedback and sector insights.
Aucun article disponible pour le moment.
Ready to discuss your project? Book a 20-min strategy call
Tell us about your friction. We define your North Star, its metrics, and how to make your MVP measurable.