Uniphore, one of the largest AI-native companies, recently announced the launching of X-Stream, a breakthrough platform capability that industrializes the transformation of structured and unstructured multimodal data into domain-specific knowledge across the enterprise. Enabling “Knowledge-as-a-Service,” X-Stream brings together powerful tools, connectors, and controls to help organizations build their own AI applications and impact their business outcomes.
According to Industry sources, as an essential layer in Uniphore’s X-Platform , X-Stream will help enterprises move one step closer to AI sovereignty. It is the latest in a series of product announcements from the company aimed at helping enterprises leverage their data from various sources such as content management, CRM, data warehouses, and business applications to drive their digital transformation.
“As enterprise AI adoption accelerates, leveraging its potential for scalable solutions is a top priority for CIOs,” stated Umesh Sachdev, CEO and co-founder of Uniphore. “With X-Stream, Uniphore is providing the world’s largest companies with a comprehensive toolkit to transform data into knowledge and unlock the full potential of AI within the evolving tech stack.”
Industry sources quickly added that X-Stream comes at an opportune time in the global race to adopt AI. Transforming knowledge for generative AI applications is a costly and time-consuming process that can take companies anywhere from a few weeks to several months. Gartner estimates that by 2025, 30% of generative AI projects will be abandoned after proof of concept due to poor data quality, inadequate risk controls, or rising costs.
Furthermore, Industry sources also confirmed that X-Stream addresses these hurdles by offering organizations the ability to integrate knowledge sources and augment and transform them for AI applications. With advanced retrieval-augmented generation (RAG) capabilities, enterprise-scale knowledge graphs, and access to Uniphore’s library of fine-tuned models, organizations can leverage AI-enabled knowledge to deliver precise answers and insights.
Industry sources further confirmed that transparency and reliability are vital to building enterprise trust in generative AI applications. To ensure this, X-Stream optimizes reasoning with features such as factuality, chunk attribution, relevance, and hallucination detection to ensure the accuracy of outcomes and minimize bias.
Additionally, X-Stream is designed for security, guardrails, and flexibility, with modular API integrations, configurable guardrails, and robust access controls to ensure strict governance and compliance. X-Stream already powers some of Uniphore’s AI applications with cognitive search capabilities as well as domain-specific AI models across enterprise functions.
