ChapsVision’s Sinequa Platform Recognized as Leader in the SPARK Matrix for Enterprise AI Search

Sinequa Sets the Standard for Enterprise Intelligence

We’re thrilled to announce that ChapsVision has been named a Leader in the QKS Group SPARK Matrix for Enterprise AI Search. This recognition is a testament to our relentless focus on innovation within the Sinequa platform, customer value, and the real-world impact of AI-powered search as a foundation for the agentic enterprise. 

For over two decades, Sinequa by ChapsVision has empowered the world’s most complex and data-rich organizations to operationalize their knowledge, accelerate discovery, and deploy intelligent systems that truly understand work. As AI agents are embraced as the future of work in the enterprise, the value of these capabilities has exploded, allowing organizations to capture the full potential of Agentic AI at scale. Our leadership in the SPARK Matrix reflects the commitment to delivering cutting-edge capabilities—from neural search and NLP to agentic AI and generative intelligence—at scale, with security and trust at the core.

The Knowledge Gap: Why Agentic AI Pilots Fail  

Despite the buzz around AI, most enterprises have yet to realize the full promise of Agentic AI. While the press is filled with stories of AI agents and assistants, the reality is that many organizations remain stuck in the proof-of-concept stage, struggling to move from experimentation to execution. 

Why is this? The answer is simple: AI agents are only as intelligent as the data they can access. Jeff Evernham, Chief Product Officer at Sinequa said at our recent conference, “There is no enterprise agent without enterprise knowledge.” Without deep, structured, and secure access to enterprise knowledge, even the most advanced AI models fall short—leading to hallucinations, security gaps, and generic, ungrounded answers. 

Key Barriers to Realizing Agentic AI’s Potential: 

MIT’s Media Lab published in it’s The State of AI in Business 2025 that 95% of enterprise AI pilots never make it to production—and the core technical failure is the disconnect between large language models (LLMs) and enterprise knowledge. 

Why Enterprise AI Search Is Foundational for Effective AI Agents 

The future of work is being shaped by AI agents that reason, interpret context, and take purposeful action. But to deliver on this vision, organizations must rethink their digital foundation: enterprise AI search . 

Enterprise AI search is not just about finding documents. It’s about providing the context, trust, and explainability that next-generation AI assistants and agents need to deliver relevant, actionable, and secure results. 

What Sets ChapsVision’s Sinequa Platform Apart?

The QKS Group analysis highlights the core strengths that differentiate our “End-to-End” AI stack: 

• Comprehensive Connectivity: 200+ secure connectors, 300+ supported formats, and robust ETL capabilities for seamless integration across the enterprise (including PLM, scientific databases, and regulatory repositories) where competitors often struggle. 

• RAG-Ready Architecture: Retrieval-Augmented Generation (RAG) ensures agents are grounded in trusted, up-to-date enterprise knowledge. 

• Security and Governance: End-to-end enforcement of data permissions, explainability, and compliance for enterprise-grade deployments. 

• Scalability and Flexibility: Proven at scale in global organizations for sustaining high query throughput and reliable performance in environments managing massive document volumes and user bases, with rapid deployment and measurable ROI. One large manufacturing company we work with has achieved a 7–15x ROI in engineering efficiency in the first year alone. 

• Transition to Agentic AI: The platform extends search into actionable outcomes, providing the “reliability, observability, and trust” necessary to move AI agents from pilots into mission-critical production. 

Recognition in the SPARK Matrix 

Sinequa by ChapsVision’s leadership is validated by its recognition in the SPARK Matrix for Enterprise AI Search, which highlights vendors delivering the most advanced, scalable, and secure AI search solutions for complex enterprise environments. This recognition reflects Sinequa’s ability to: 

• Seamlessly combine deep domain indexing and context-aware search with large language models (LLMs) 

• Deliver explainable, trustworthy AI solutions that empower organizations to unlock the full value of their proprietary data 

• Support the deployment of AI assistants and agents at scale, across industries such as manufacturing, life sciences, and financial services 

 Amandeep Singh Khanuja, Practice Director at QKS Group and principal analyst for the report explained,

“ChapsVision differentiates itself in the Enterprise AI Search market through the depth and maturity of its Sinequa platform, which combines hybrid retrieval… with enterprise-grade explainability and governance. The addition of ChapsAgents extends this foundation beyond search into actionable, agent-driven outcomes, with strong emphasis on reliability, observability, and trust. By tightly integrating retrieval-augmented generation with enterprise security and monitoring controls, ChapsVision positions organizations to adopt generative and agentic AI at scale while maintaining confidence in accuracy, compliance, and operational resilience.”