We design, modernize, and optimize search systems to improve relevance, performance, and scalability across enterprise, eCommerce, and AI-powered search.
Innovent designs and optimizes distributed search architectures, addressing relevance, performance, and scalability challenges to ensure consistent and reliable search systems.
FindTuner works with Elasticsearch, OpenSearch, and Solr to enhance search performance through intelligence, insights, and control. It enables teams to understand search behavior, apply targeted optimizations, and continuously refine relevance and ranking as data, user behavior, and business strategies evolve.
Search governance adds structure, but it’s only part of the system. As shopper behavior, product catalogs, and business priorities constantly change, search needs to go beyond decisioning and continuously adapt. Governance, control, and optimization work together to keep results aligned with shopper behavior.
This article discusses how Model Context Protocol (MCP) expands AI chatbot capabilities with live data, actionable tools, and smarter workflows to improve customer interactions.
The functionality of the modern blend of AI has some immensely powerful capabilities that offer a great deal of opportunity. LLMs also have some important flaws. Awareness of what AI is, what it’s capable of (and not capable of) is crucial to weighing opportunity cost of IT time. It’s simply too expensive to not be aware of what AI is.
Work with our team to solve relevance, performance, and scalability challenges and design a search platform that performs at scale.
