Summary
Sonata Software helped a global biotechnology company modernize its enterprise search capabilities by replacing a legacy Sinequa-based platform with a scalable semantic search solution. The new system unified access to enterprise content, enabled keyword and natural language search, integrated internet search, and improved security through SSO and access controls, resulting in faster data ingestion, significantly higher search accuracy, and more relevant knowledge discovery.
Customer overview
A global biotechnology company that develops and manufactures biotherapeutic products to treat serious and rare diseases.
Pressure points
The client operated a Sinequa-based semantic search platform to index and retrieve enterprise documentation across various organizational sources. While the existing system presented significant limitations on speed, accuracy, and financial challenges that hindered the organization's knowledge management objectives.
Absence of single pane of view to access enterprise content
No internet search functionality to complement internal documentation searches
Requirement for a scalable, cost-effective alternative without compromising performance
Need for more advanced search capabilities including both keyword and natural language search support
Solution highlights
Sonata Software developed a comprehensive enterprise-scale search application that incorporates advanced semantic search capabilities and internet search functionality. The solution leverages modern semantic search technologies to deliver intelligent content discovery while significantly reducing operational costs.
Semantic search platform supporting logical operations
Natural language interactions
Metadata extraction and content enrichment for enhanced discoverability
Multi-source document retrieval from SharePoint, Shared Drives, Public URLs, and API endpoints
Content restriction based on user access Lists ensuring security compliance
Single sign-on (SSO) integration for seamless user authentication
Results that speak volumes
Faster ingestion rate compared to monolithic data pipelines
Significant improvement in top-10 search result accuracy
Additional relevance boost using Natural Language powered semantic search
