Life sciences knowledge management software:
Sinequa by ChapsVision
Trusted knowledge. Faster decisions. Stronger compliance.
We unify research, clinical, and regulatory knowledge into a single, governed platform, so your teams access validated information instantly, reduce rework, and walk into audits prepared.
We secure knowledge continuity across the entire drug development and manufacturing lifecycle.
Key results observed across customers
20 %
faster access to decision-critical scientific data
15 %
Shorter time-to-submission by reducing missing evidence
143 M$
Multi-million operational savings from fewer delays & duplications
50 %
of global leaders in pharmaceutical innovation have adopted it
In Life Sciences, essential information for R&D, clinical operations, and regulatory/quality decisions is scattered across multiple systems: ELN, LIMS, CTMS, QMS, DMS, eTMF, SharePoint, network archives, CRO platforms…
This fragmentation creates silos, slows discovery, increases compliance exposure, and reduces organizational agility in a context where every day matters.
Across the industry:
- Scientists waste a lot of their time searching or validating information
- Submission delays frequently stem from missing or inconsistent evidence
- Quality investigations stall due to traceability gaps
- Expertise leaks when roles rotate or work is outsourced
With Sinequa by ChapsVision, your teams access consolidated, validated, secure knowledge — instantly usable for critical decisions across the drug lifecycle.
Faster decisions. Stronger compliance. Accelerated innovation.
The solution: a unified knowledge platform built
for life sciences
Our platform does not replace your systems, it orchestrates them.
We create a knowledge layer that connects all high-value sources without moving data.
This approach fits seamlessly into complex pharma IT landscapes and supports the lifecycle from early research to manufacturing.
If you recognize the risks described in: The 5 Symptoms of Fragmented Scientific Data in Life Sciences, unification is now a business-critical priority.
A structural change, without disrupting the infrastructure.
A quick win with measurable ROI.
demonstration
* Do you want to assess the value for your use cases?
What this system solves for your Life Sciences teams
Fragmentation leads to duplication, errors, and massive productivity loss. As explained in our eblog post R&D and Clinical Data Fragmentation: Invisible Impacts & Risks
Sinequa by ChapsVision ensures unified visibility across:
You eliminate rework and inconsistent documentation across teams, sites, and partners.
Retrieving a protocol, confirming a result, or reusing a proven method should take seconds — not hours.
Our engine unlocks much of the hidden value described in The 8 Types of Critical Information Currently Underused in Life Sciences
When justifications and metadata are not instantly available, every decision carries regulatory risk.
In FDA / EMA inspections, a missing proof can lead to:
- Critical findings
- Market authorization delays
- Costly remediation
Sinequa by ChapsVision makes every evidence chain retrievable, traceable, and contextualized in seconds, reinforcing confidence in every decision.
We capture and surface tacit and historical knowledge, preventing reinvention and rework.
We secure knowledge flow across people, sites, and programs.
Key capabilities of a modern life sciences KM platform
One interface to access:
TMF, EDC, ELN, LIMS, batch records, method validations, SOPs, internal publications…
Enhanced by Life-Sciences-aware filters:
- Compound
- Indication
- Clinical phase
- GxP scope
- Site / lot / equipment
- Manufacturing step
- Risk / CAPA
The platform understands your scientific language, not just keywords.
We extract molecules, endpoints, risks, CAPAs, manufacturing parameters, and make relations clear and auditable.
No black box. No blind trust.
- GxP-aligned lifecycle governance
- Complete audit trails on knowledge access
- Data integrity and traceability for regulatory inspectors
We document compliance as you operate, not afterward.
200+ connectors to ELN, LIMS, CTMS, QMS, regulatory systems
No migration. No disruption. Full security maintained.
Why choose Sinequa for life sciences knowledge management
Preferred by leading pharmaceutical and biotech organizations.
Purpose-built for sensitive data and critical environments.
What you can achieve with this solution
- Reuse experiment results and learnings
- Strengthen first-time-right decisions
- Increase pipeline throughput
Better reuse of clinical learnings leads to:
- Fewer amendments
- Faster site selection
- Stronger submissions
See also: 5 Software Solutions to Optimize Clinical Processes
- Faster investigations
- Controlled version usage
- Better inspection readiness
Best practices and historical context are automatically transferred across products, sites, and CMOs.
See also: Why Unifying Information Has Become Strategic in Life Sciences
Knowledge becomes scalable expertise.
Blog
We provide decision-grade resources to support awareness and internal alignment:
These resources help you build the business case and secure sponsorship.
Talk to an expertFAQ : life sciences knowledge management
Life sciences knowledge management is the discipline and technology stack used to capture, organise and make accessible scientific, clinical, regulatory and operational knowledge across the product lifecycle. It goes beyond document storage to connect data, processes and decisions in a traceable way.
Effective knowledge management shortens study design cycles, reduces redundant experiments, improves evidence packages for submissions and accelerates responses to health authorities. It ensures that critical knowledge from R&D, clinical and quality is searchable and reusable instead of locked in silos.
Pharma organisations typically combine ELN, LIMS, CTMS, QMS, DMS, eTMF and collaboration platforms. A unified knowledge platform like Sinequa sits on top of these systems, providing enterprise search, AI-driven enrichment and governance tailored to regulated environments.
Compliance requires strong access control, data integrity, version management, audit trails and transparent AI. Sinequa supports GxP expectations by tracing each search result back to its source, preserving metadata and providing logs that can be presented during FDA or EMA inspections.
Best practices include: starting with high-value use cases, keeping humans in the loop for critical decisions, using domain-specific ontologies, governing training data, and ensuring that AI outputs are explainable and auditable. AI should enhance scientific reasoning, not replace it.
Here are the essential criteria recognized in the industry:
- Ability to integrate with existing systems (ELN, LIMS, CTMS, QMS, DMS, eTMF, etc.)
- Unified search across scientific, clinical and regulatory repositories
- Auditability and traceability aligned with GxP requirements
- Protection of scientific confidentiality with granular access control
- Explainable AI capable of extracting molecules, risks, endpoints, CAPAs and more
- Scalability to support growth, global operations and acquisitions
- Immediate value across R&D, clinical and regulatory use cases
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