X-StreamYour Enterprise Knows More Than It Uses—Unleash AI-Powered Knowledge at Scale
Stop digging through documents, databases, and disconnected systems. X-Stream transforms unstructured enterprise data into real-time, AI-powered knowledge—so your teams get the right answers, instantly.
The Enterprise Knowledge Gap
Enterprises struggle to convert oceans of data – complex, industry-specific documents into AI-ready knowledge that business users can trust. Generic RAG solutions lack context, structure,
and accuracy, making AI responses unreliable and prone to hallucination—especially for policy-driven, product-specific, or compliance-heavy workflows.
Unlock AI-Ready Knowledge
X-Stream transforms complex enterprise data into structured, AI-ready knowledge—delivering accurate, context-aware answers tailored to your business needs.
With built-in governance, control, and flexibility, X-Stream provides IT and data science teams with a standardized framework to manage AI workflows, while empowering line-of-business to customize knowledge access for their specific use cases.
X-Stream ensures your AI delivers reliable, trusted answers—directly within the systems, workflows, and conversations your teams rely on every day.
Why X-Stream
Purpose-built for enterprise workloads, X-Stream delivers accurate answers by retrieving and generating knowledge from large, diverse datasets—including structured, unstructured, and conversational data—while ensuring high performance at scale.
Enhance AI understanding of relationships across people, processes, and policies—enabling more accurate, relevant, and explainable outputs for enterprise use cases.
Maintain full control over security, compliance, and data governance with a standardized framework for IT, while enabling business teams to tailor knowledge access to specific operational needs.
Integrate seamlessly into your existing infrastructure. X-Stream supports both Uniphore’s native tools and third-party models, enabling flexible deployment and optimization of RAG pipelines within any enterprise environment, including secure private clouds (VPCs).
Key Features
Multimodal data ingestion and preprocessing
- Real-Time & Batch Ingestion – Ingest streaming data for instant availability or process large-scale datasets in batch mode for efficient AI model training.
- Automated Preprocessing – Parse and clean raw inputs to create structured AI-ready datasets that maximize accuracy and usability.
- Advanced Chunking – Segment documents intelligently using fixed-length and semantic chunking techniques to preserve meaning and context during retrieval.
- Reusable Pipelines – Save time and reduce errors by applying preconfigured pipeline templates across projects for scalable data preparation.
Advanced data indexing and enrichment
- Embedding Model Selection – Choose the best-fit embedding models and maintain full control over data preparation—including canonicalization, AI-driven enrichment, and output verbosity—to optimize documents for precise retrieval and high-quality generation.
- Prompt-Based Enrichment – Add contextual relevance to documents with tailored prompts, improving how AI models interpret, retrieve, and generate knowledge from enterprise data.
- Metadata Tagging – Automatically apply metadata, labels, and classifications to enhance filtering, discovery, and retrieval accuracy across large datasets.
- Vector Embeddings – Enable advanced semantic search and RAG experiences with AI-readable vector representations that understand language context at scale.
Enterprise framework for data and AI governance
- Role-Based Access Control (RBAC) – Protect sensitive information by managing user permissions and restricting access based on roles and responsibilities.
- Toxicity & Bias Filters – Automatically detect and block harmful, inappropriate, or biased content to maintain ethical standards and brand integrity.
- Evidence Management – Provide full transparency with source citations and traceable links back to original documents, ensuring users can trust and verify AI-generated outputs.
Trusted knowledge access with source verification
- Context Preservation – Retain memory across multiple turns within the same conversation to provide consistent, context-aware answers throughout longer interactions.
- Source Transparency – Build trust by displaying the original sources alongside AI responses, helping users understand and validate the information they receive.
- Clickable References – Empower users to explore supporting content with direct links to source documents from generated responses.
- Cross-Language Support – Expand global reach with multilingual query handling and response generation, eliminating the need for manual translation
Powering accurate answers across uniphore applications solutions
Capture 100% of your conversations with complete and open access to your data for AI, analytics and compliance.
Learn more
Enhance the self-service experience with virtual agents that understand, empathize, and resolve issues at scale.
Learn more
Leverage Generative AI to uncover hidden trends, emotions and actionable insights across all customer calls.
Learn more
Boost agent productivity with real-time guidance, knowledge assist, and Gen AI-powered conversation summaries.
Learn more
Enable sales teams to collaborate and close deals faster with real-time emotion and conversational AI insights.
Learn more
Help HR and recruitment teams prepare, interview and connect with candidates faster and more effectively.
Learn more
ActionIQ by Uniphore is the AI-first, composable customer data platform designed for enterprise brands to activate customer data anywhere.
Learn more