AI Evidence Repository for Connected Teams and Agents
Store, organize and interrogate your scientific evidence in one place. The same AI repository where your team curates papers — and where Centivence agents drop the evidence they detect. One source of truth, used by both.
Traditional Evidence Repositories Weren't Built for Agentic Work
Most teams store scientific evidence in shared drives, folders or static databases. Documents are technically saved, but evidence isn't structured, connected or reusable — and there's nowhere for an AI agent to drop a finding either. The result: insights stay buried, in people's heads or in files no one revisits.
PDFs are not linked between them
Scientific evidence lives in isolated files and folders. They show that a paper exists, but not what changed, how it connects to other studies, or why it matters for your strategy.
You invest too much time handling evidence
Evidence review and organization are still manual. There is no structured context on competitors, endpoints or strategic relevance, slowing down decision-making across teams.
Critical insights remain buried
Relevant evidence is detected, but not transformed. Key findings stay locked inside documents instead of becoming actionable scientific knowledge.
Centivence is an AI system designed to store, search, and understand scientific evidence
Centivence Baskets work as an AI evidence repository designed for scientific and clinical teams. They function as structured notebooks where publications, insights and references are stored in a contextual, traceable and searchable scientific knowledge base. Each basket represents a focused AI research repository, by disease, product, competitor or research question, enabling teams to move beyond document storage and work with evidence-driven intelligence.
| Paper | Product | Topic | Methodology | Labels | |
|---|---|---|---|---|---|
| Cost per responder analysis of lebrikizumab versus tralokinumab in moderate to severe atopic dermatitis. | Lebrikizumab Tralokinumab | Cost-effectiveness comparison based on published clinical trial data | indirect comparison, cost per responder | Economic analysis Value proposition Comparative | |
| Clinical and Molecular Effect of the Anti-IL-18 Antibody Aletekitug in Adults With Atopic Dermatitis. | Aletekitug | Clinical and molecular effects of the anti-IL-18 antibody aletekitug in adults | randomised, double-blind, parallel-group, placebo-controlled study | New molecule | |
| Lebrikizumab-lbkz for the Treatment of Atopic Dermatitis: A Drug Review. | Lebrikizumab Interleukin 13 | Lebrikizumab for the treatment of moderate-to-severe atopic dermatitis. | Literature search through PubMed and ClinicalTrials.gov | ||
| Systemic Therapies for Moderate-to-Severe Atopic Dermatitis in Children and Adolescents: A Systematic Review. | Dupilumab Tralokinumab Abrocitinib | Efficacy and safety of advanced systemic therapies for pediatric atopic dermatitis. | Systematic review of randomised controlled trials (RCTs) from 2020 onwards | Comparative data |
Save evidence without manual work
Store relevant scientific data directly into your AI evidence repository with one click. No switching between tools or losing time organizing files.
Structure your scientific knowledge
Automatically associate each paper with key concepts — indications, patient data, outcomes or regional perspective — turning files into connected insights.
Add columns to extract data automatically
Define custom columns — product, topic, methodology, outcomes — and Centivence fills them automatically for every paper in your basket, no manual work needed.
Ask CEN about your evidence
Query your basket with CEN Intelligence to summarize findings, compare methodologies or extract key outcomes — grounded only in your saved papers.
How our AI Evidence Repository Works?
Create your repository
Set up dedicated baskets in one click — by product, indication, competitor or research question — and define the scope each agent should watch over.
Two ways to fill it — you and your agents
Your team saves papers and references with one click. In parallel, Centivence agents drop every relevant finding into the same baskets, automatically tagged with the source and the agent that captured it.
Centivence structures everything
Each paper is enriched with labels, tags and context — indications, patient data, outcomes, regional perspective — so evidence becomes easy to organize, retrieve and reuse across teams and strategies.
Interact with your evidence using AI
Ask questions directly to your repository and receive answers generated exclusively from the evidence inside it — yours and your agents'. The system responds only with validated data from your basket, ensuring accuracy, traceability and no hallucinations.
An AI evidence repository built for regulated life sciences
Centivence AI evidence repositories provide a secure, AI-powered platform for scientific evidence management in life sciences. By generating insights exclusively from curated evidence stored inside the repository, Centivence ensures accuracy, traceability, and reliable AI-driven access to scientific data — enabling teams to manage, search, and reuse evidence with confidence and without manual effort.
Collaborative scientific knowledge base
Share your custom AI evidence repositories with your team and work on the same structured scientific knowledge base. Because all evidence is connected and centralized, teams can populate repositories with relevant publications and insights in seconds, avoiding fragmented tools and duplicated work.
Your evidence stays organized, searchable and reusable across Medical, Market Access and HEOR teams.
Traceable AI responses with reduced hallucinations
Centivence AI operates inside your closed AI evidence repository, using only the data you have stored and validated. This dramatically reduces hallucinations and ensures every answer is grounded in traceable scientific sources, citations and audit-ready evidence.
You don't get generic AI outputs. You get reliable answers based on your own evidence base.
Frequently asked questions
Have more questions? Send us an email.
What is an AI evidence repository?
An AI evidence repository is a centralized system that stores scientific and clinical evidence while using artificial intelligence to structure, connect and analyze that information. Unlike traditional document repositories, it allows teams to work with evidence as reusable knowledge, not just PDFs.
How is an AI evidence repository different from a document repository?
Traditional repositories store files. An AI evidence repository organizes evidence by context, metadata and relevance, enabling teams to search, analyze and extract insights across studies with full traceability and citations.
Who is an AI evidence repository designed for?
Centivence's AI evidence repository is built for Medical Affairs, Market Access, HEOR, Competitive Intelligence and Research teams that need reliable, structured and auditable scientific evidence to support decisions and strategy.
Can I organize evidence by disease, product or competitor?
Yes. Each AI evidence repository can be structured by disease area, product, indication, competitor or research question. This allows teams to create focused scientific knowledge bases aligned with real business and research needs.
How does AI work inside the evidence repository?
The AI operates within a closed environment, using only the evidence stored in your repository. It analyzes, connects and retrieves information based on your curated data, ensuring answers are grounded in validated sources rather than external or generic information.
How does Centivence reduce AI hallucinations?
By restricting AI interactions to your own evidence repository, Centivence significantly reduces hallucinations. Every answer is linked to traceable scientific sources, citations and an audit trail, making outputs suitable for regulated environments.
Can multiple teams collaborate in the same AI evidence repository?
Yes. Teams can share AI evidence repositories and collaborate on the same scientific knowledge base. This avoids duplicated work and ensures everyone works from the same validated and up-to-date evidence.
Can this AI evidence repository be used in regulated scientific environments?
Yes. Centivence is designed to support regulated scientific and clinical workflows by providing traceability, source citations and an auditable evidence structure. While the platform enables structured analysis and AI-assisted exploration of scientific evidence, users remain fully responsible for reviewing, validating and approving how the evidence is interpreted and used within their organization.
Stop managing evidence.
Start using it.
See how Centivence gives your Medical Affairs, Marketing, and Market Access teams a single system to find, organise, and act on scientific evidence.
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