Assistant
AI-Powered Search for Life Sciences
Accelerate Discovery, Clinical Trials, and Regulatory Compliance
The average drug takes over a decade and $1.3 billion to develop. A significant portion of that cost and time is not science — it is search. Researchers duplicating experiments because prior results are buried in inaccessible systems. Biostatisticians waiting days to locate the right SAS datasets across billions of data locations. Regulatory affairs teams manually assembling submissions from documentation scattered across ELNs, LIMS, shared drives, and proprietary databases that were never designed to communicate.
Sinequa’s AI-powered search eliminates these bottlenecks — connecting every data source, private, paid, or public, so every role in your organization can instantly surface the knowledge they need to move faster.
Over 50% of the world’s top life sciences organizations trust Sinequa — including Pfizer, AstraZeneca, GSK, Novartis, and Bristol Myers Squibb — to power information discovery across clinical trials, drug development, regulatory affairs, and beyond.
Proven Impact: $143M Saved Per Year, 20% Faster Clinical Analysis
A global pharmaceutical leader headquartered in Belgium — specializing in severe diseases — deployed Sinequa to give clinical trial managers and biostatisticians searchability across vast SAS datasets and scientific literature spread across billions of data locations. The results:
- $143M saved per year by identifying pre-clinical, Phase 1 and Phase 2 risks earlier, improving the pass/fail ratio and decreasing time-to-market
- 20% faster execution of clinical analysis requests by biostatisticians who can now find the right datasets without manual cross-system searches
- 5,250 users impacted — 1,500 clinicians and 3,750 non-clinicians — with a single, unified search experience across all relevant data
Want to learn more?
Download the brochureThree AI Search Solutions for Life Sciences
AI-Powered Scientific Search for R&D Connect any content source — ELNs, LIMS, scientific literature, patent databases, internal research repositories — so researchers have the data and insights to make better, faster decisions about compounds, diseases, drug targets, and development candidates. Surface hidden connections between research threads, identify prior art, and eliminate duplicated experiments before they happen.
AI-Powered Search for Clinical Trial Data Analysis Give biostatisticians a single interface to search data points, protocols, and variables across all clinical systems simultaneously. Analysis requests that previously required hours of manual data location are now executed up to 20% faster — with complete confidence that all relevant data has been retrieved, not just what a single system happened to contain.
AI-Powered Enterprise Search for Business Functions From regulatory affairs and medical information to HR and product teams, every business function in a life sciences organization relies on accurate, current information to operate. Sinequa gives each role a search experience tailored to their specific workflows — dynamic filtering, relevance tuning, and a unified view of all content relevant to their work.
How Sinequa Works
- Connect — Break down knowledge silos and unify content from any source, application, and format: ELNs, LIMS, CDS, regulatory submission systems, clinical databases, scientific literature repositories, SharePoint, email, and more — through 200+ ready-to-use connectors.
- Organize — Automatically classify and enrich content using NLP and machine learning so information surfaces in context. Sinequa understands scientific vocabulary, regulatory language, and domain-specific terminology natively.
- Converse — Sinequa Assistant lets researchers, biostatisticians, and regulatory professionals ask natural language questions of the organization’s entire knowledge base and receive synthesized, grounded answers — not generic AI outputs.
- Optimize — Search relevance improves over time based on user behavior, ensuring the platform becomes more accurate as science evolves and organizational workflows change.
From AI-Powered Search to Agentic AI in Life Sciences
Sinequa’s search foundation is what makes agentic AI in life sciences trustworthy — AI agents that autonomously monitor new trial publications, identify compounds relevant to an active program, or cross-reference a regulatory update against existing submission documentation are only reliable when the underlying retrieval is accurate, authorized, and scientifically precise. For life sciences organizations building their next-generation AI strategy, that foundation is not optional. It is where patient safety starts.
Frequently Asked Questions (FAQ)
Over 50% of the world’s top life sciences organizations use Sinequa to find information across clinical trials, drug development, regulatory affairs, and business functions. Named customers include Pfizer, AstraZeneca, GSK, Novartis, and Bristol Myers Squibb — representing the majority of the world’s largest pharmaceutical companies. These organizations use Sinequa to connect researchers, biostatisticians, clinical teams, regulatory affairs professionals, and business functions to the full breadth of their internal and external knowledge assets.
A global pharmaceutical leader specializing in severe diseases achieved $143M in annual savings by deploying Sinequa to improve pre-clinical, Phase 1, and Phase 2 risk identification — reducing time-to-market by improving the pass/fail ratio on clinical programs. Biostatisticians at the same organization now execute analysis requests up to 20% faster, with 5,250 users (1,500 clinicians and 3,750 non-clinicians) impacted by the unified search experience. The average drug development cost is estimated at $1.3 billion (London School of Economics); improvements in early-stage decision quality that Sinequa enables directly reduce the portion of that cost attributable to late-stage failures.
Sinequa connects to the full range of life sciences information systems through 200+ ready-to-use connectors — including Electronic Lab Notebooks (ELN), Laboratory Information Management Systems (LIMS), Clinical Data Systems (CDS), Laboratory Execution Systems (LES), regulatory submission platforms, clinical trial databases, medical information systems, scientific literature repositories, patent databases, SharePoint, email archives, and proprietary research platforms including Veeva and OpenText. All access controls from source systems are inherited, ensuring role-appropriate data access across all connected platforms.
Sinequa supports life sciences regulatory requirements. The platform inherits access controls from source systems and applies role-based and content-based access control throughout — ensuring audit-ready data governance. Regulatory affairs teams can surface all relevant submission documentation, safety data, and regulatory guidance from a single interface, reducing the manual effort of regulatory assembly and accelerating responses to agency inquiries. Sinequa’s private cloud and SaaS deployment options both maintain the highest industry standards for security and compliance validation.
Sinequa gives biostatisticians a single interface to search data points, protocols, and variables across all clinical systems simultaneously — including SAS datasets, trial databases, and scientific literature spread across billions of data locations. The ability to instantly locate the right datasets without manual cross-system navigation enables analysis requests to be executed up to 20% faster, with complete confidence that all relevant data has been retrieved. This directly reduces the elapsed time between analysis request and result, accelerating both trial timelines and regulatory submissions.
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