X-StreamTURN YOUR KNOWLEDGE INTO AN AI-READY POWERHOUSE
X-Stream industrializes the conversion of data into knowledge, bringing together the tools, connectors and controls to deliver answers across the enterprise.
Enterprises are eager to harness the power of generative AI, but most large language models rely on publicly available data, which lacks domain-specific context needed for business applications. X-Stream empowers enterprises to build domain-specific AI applications utilizing their own data, accelerating AI development and driving business outcomes—while ensuring strict governance and compliance.
Why X-Stream
Unified platform. Open architecture. Best-of-breed components.
Built on the X-Platform, X-Stream is an essential layer of the AI Engine Room, transforming data into knowledge and providing the answers needed to drive business outcomes.
Data Scientists
Data Engineers
Business Unit AI/ML Developers
Scale development.
Centralize data preparation efforts and implement consistent, easy-to-replicate workflows, so you don’t spend time on duplicative tasks.
Maximize the value of your data.
Enrich the quality of your structured, unstructured and multimodal data with semantic context that’s specific to your domain.
Drive efficiency and cost savings.
Bring your data. Let X-Stream automate knowledge retrieval and data preparation for AI, complete with governance and guardrails.
Discover how X-Stream combines knowledge integration, enrichment, and compliance to accelerate GenAI development.
- Unlock advanced RAG capabilities with embedding models, re-rankers and pluggable LLM generators.
- Leverage contextual language models with native support for end-to-end RAG optimization.
- Synthesize data from across multiple sources and formats, including multimodal conversations, documents, videos and more.
- Intelligently merge unstructured data with semi-structured conversations for in-depth analytics and instruction fine-tuning.
- Utilize best-of-breed components through modular APIs to streamline the preprocessing pipeline.
- Automatically extract entities and topics from multimodal data sources and enrich metadata to enhance data usability.
- Augment knowledge graphs with human-in-the-loop annotation and labeling.
- Elevate RAG performance with advanced graph-based retrieval and visualization.
- Implement preprocessing guardrails, including prompt injection detection, toxicity and tone filtering, and PII protection.
- Optimize evidence management with features like factuality, chunk attribution, relevance, and hallucination detection.
- Streamline role-based access controls and governance with a unified dashboard.
- Leverage Uniphore’s library of domain-specific small language models, tailored by industry and use case, to accelerate time to market, enhance accuracy, and reduce costs.
- Create instruction fine-tuning or build your own AI models to meet the unique demands of your business unit.
Developed through years of transforming enterprise data for AI applications, Uniphore is now making X-Stream available to organizations, empowering them to harness their own data to drive AI-powered innovation.
Open Platform and Interoperability
Leverage Uniphore’s tools and connectors or bring your own to fine-tune models and boost RAG performance—enabling seamless deployment and operation on any VPC.
AI and Data Science Expertise
Our team of experts, with extensive AI experience from leading organizations, partners with you at every step of your journey to ensure the successful delivery of enterprise applications.
X-Stream powers Uniphore’s AI applications and industry-specific AI models across a wide range of enterprise functions.
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Learn moreIndustry Fine-Tuned Models
- Banking
- Healthcare
- Insurance
- Travel & Hospitality
- Technology
- Utilities
- Emergency Services
- Telecom
- Collections
- Commerce
Summaries | Topic Discovery | Intent Mining | Convertsation Facts | Question Answering
AI Infrastructure
Model as a Service
Model Orchestration | Model Fine-Tuning | Model Library | RLHF | Guardrails
Knowledge as a Service
Advanced RAG | Knowledge Graph | Data Generation and Labeling | Evidence Management
Multimodal | Batch & Streaming | Structured & Unstructured
Systems of Record | Communication & Collaborations | Content Management | Data Lakes & Warehouses