Uniphore, a global leader in conversational AI and automation solutions, has launched a groundbreaking new product called X-Stream. This latest addition to its data and AI platform promises to simplify the process of building retrieval-augmented generation (RAG) applications for enterprises, enabling them to develop apps eight times faster.

X-Stream brings together powerful tools, connectors, and controls into a unified system, allowing companies to easily mobilize their multimodal datasets for AI projects. This new offering acts as a comprehensive solution, eliminating the need for multiple tools and streamlining the process of preparing AI-ready data.

What X-Stream Offers Enterprises

At its core, X-Stream is designed to simplify how enterprises manage their data when developing RAG-based applications. Typically, building such applications involves several complex steps, including gathering data from various sources, transforming it into AI-ready formats, and feeding it into models. This process can be time-consuming and requires using multiple tools, making it a challenge for many companies.

Uniphore’s X-Stream addresses this challenge by offering a unified architecture. “With X-Stream, customers can fine-tune their data, convert it into AI-ready knowledge, and seamlessly feed it into Uniphore’s production-ready small language models or build their own,” said Umesh Sachdev, CEO of Uniphore. The platform also ensures accuracy and minimizes hallucinations, a common issue in generative AI models.

Addressing the Data Challenge for RAG Applications

RAG, a method where AI pulls information from specific databases to provide accurate answers to complex questions, is becoming increasingly popular among enterprises. However, one of the biggest challenges in developing RAG applications is managing the data.

In most organizations, relevant data is spread across different sources and formats, including structured tables, unstructured text, and videos. Companies often have to use several tools to connect to their data warehouses, transform the data, and make it ready for AI applications. This process can take months to complete and involves managing a complex stack of tools.

Uniphore aims to solve this issue with X-Stream by bringing all necessary data tools and controls into one place. The platform can handle data from over 200 sources, run intelligent merging and transformation jobs, and store the resulting data in a vector database. This allows data teams to focus on providing relevant information for AI models without the need for a complex tool stack.

Enhancing AI Pipelines and Building Knowledge Graphs

One of X-Stream’s standout features is its ability to generate knowledge graphs. These graphs help provide context and reasoning, making AI outputs more reliable and accurate. The platform also creates synthetic data to fine-tune models for specific industries or use cases, improving the relevance of AI models.

Moreover, X-Stream includes features such as factuality checks and chunk attribution, which help ensure that the data used in AI models is trustworthy. These capabilities make X-Stream a comprehensive solution for enterprises looking to enhance their entire AI pipeline.

Faster Deployment and Significant Value

Uniphore claims that X-Stream can help enterprises deploy RAG-based applications up to eight times faster compared to traditional methods. According to Sachdev, the platform offers a usage-based pricing model, and customers can expect a return on investment of 4x to 6x within weeks of going live.

While the platform is new, it faces competition from other providers offering similar capabilities, such as Amazon’s Sagemaker, Tonic AI, and Unstructured.io. It will be interesting to see how X-Stream scales as more companies look to adopt generative AI for internal and external use cases.

Looking Ahead

As generative AI becomes a bigger part of enterprise operations, platforms like X-Stream are likely to play a key role in how companies build and manage AI applications. Uniphore’s extensive experience working with unstructured data, combined with the comprehensive features of X-Stream, puts the company in a strong position to help enterprises navigate the complexities of AI development.

With over 1,500 clients, including DHL, Accenture, and General Insurance, Uniphore is well-positioned to expand its footprint in the growing generative AI market. However, as noted by Gartner, 30% of generative AI projects could be abandoned by 2025 due to poor data quality, risk controls, or rising costs. How X-Stream addresses these challenges remains to be seen, but its unified approach to data management could make a significant difference.