AI and Data Leaders NVIDIA, AMD, Snowflake and Databricks Invest in Uniphore’s Series F to Accelerate Its Leadership in Business AI

Learn more

Uniphore Announces the Acquisitions of Orby AI and Autonom8

Learn more

Platform

Uniphore Business AI Cloud
Agentic Layer
Model Layer
Knowledge Layer
Data Layer
Uniphore Business AI Suite

Uniphore Customer Service AI

Overview
Real-time Guidance Agent
Communication Recording Agent
Conversation Insights Agent
Self-Service Agent

Uniphore Marketing AI

CDP Agent
Audience AgentComing soon
Marketing Insights AgentComing soon
CDP Search AgentComing soon

Uniphore Sales AI

Sales Interaction Agent

Uniphore People AI

Recruiting Agent
Back to glossary

What is AI Ready Data?

Why AI-ready data is foundational to enterprise AI—and how Uniphore unlocks its full potential

AI-ready data is data that’s accurate, complete, secure, and structured in a way that AI systems—like large language models (LLMs) or Small Language Models (SLMs)—can interpret and use effectively. For enterprises, this includes: 

  • Voice, video, screen, and text interactions
  • CRM and knowledge base content
  • Documents, emails, and policies
  • Metadata, emotional cues, and business context

The challenge? Most data today is not AI-ready. It lives in disconnected silos, lacks labeling, and wasn’t captured for machine processing. Without solving this data readiness gap, AI initiatives stall.

While most organizations are investing heavily in AI tools—from generative AI to predictive analytics—very few have the data infrastructure needed to support them. In fact, up to 80% of AI project time is spent preparing data rather than applying it. That’s why the ability to make data AI-ready—quickly, securely, and at scale—is now a critical business priority.

Uniphore solves this foundational challenge by enabling enterprises to instantly access and activate their own data through a composable, multimodal, and zero-copy architecture—turning raw interaction data into a ready-to-use strategic asset. 

The Big Book of Data Readiness for AI

Your definitive guide to AI-ready data architecture, governance, and culture.

Download the guide

Why AI-Ready Data Matters in the Enterprise 

Enterprise AI isn’t just about deploying a model—it’s about providing that model with relevant, consistent, and context-rich data to learn from and act on. Without AI-ready data, even the most advanced systems deliver poor results, hallucinate, or fail to gain business traction.

Business Impacts of AI-Ready Data: 

  • Faster AI deployment and ROI
  • More accurate and reliable model performance
  • Reduced manual effort in data cleansing and integration
  • Improved visibility into customer behavior, compliance, and operations

Characteristics of AI-Ready Data

AI-ready data is not just well-organized—it is accessible, contextualized, and governed with enterprise rigor. Key characteristics include: 

High Quality and Cleanliness

Data must be deduplicated, de-noised, and error-free. Uniphore automates cleansing at scale with built-in profiling, validation, and transformation pipelines.

Properly Labeled and Annotated

For AI to understand and process enterprise interactions, data must be clearly labeled—by intent, role, emotion, or topic. Uniphore’s platform uses multimodal AI to enrich and label data from voice, text, and screen interactions in real time.

Scalable and Extensible

AI-ready data must scale with business growth. Uniphore’s hybrid, composable data fabric ensures data can be queried directly—without the need for duplication, migration, or vendor lock-in.

Timely and Up to Date

Uniphore delivers real-time access to AI-ready data, keeping models trained on current information and enabling up-to-the-moment decisioning.

Comprehensive and Complete

Data silos create blind spots. Uniphore integrates across systems and clouds—CRMs, CX platforms, enterprise apps—ensuring AI has a 360-degree view of enterprise interactions.

Secure and Compliant

Uniphore supports enterprise-grade governance, access controls, anonymization, and compliance with GDPR, HIPAA, SOC 2, and other data privacy regulations.

The Data Bottleneck: Why Most AI Projects Stall

Legacy recording systems weren’t built for AI. They capture call data for human review—not for transcription, annotation, or real-time AI ingestion. Most enterprises today are sitting on petabytes of interaction data that’s not AI-ready—scattered across formats, systems, and teams.

The result: Delayed AI adoption. Poor model performance. Incomplete insights. Regulatory risk. 

The Big Book of Data Readiness for AI

Your definitive guide to AI-ready data architecture, governance, and culture.

Download the guide

AI-Ready Data Starts Here: Inside Uniphore’s Four-Layer AI Architecture 

How Uniphore’s enterprise AI platform transforms raw data into AI-ready intelligence—and real business outcomes

To succeed with AI, enterprises need more than just a powerful model. They need AI-ready data: structured, enriched, contextual, and instantly accessible. But most enterprise data is scattered, siloed, and locked inside systems not built for AI.

That’s why Uniphore built a full-stack, composable AI platform around one core principle: AI readiness starts with data—but doesn’t stop there.

Introducing the Four-Layer Cake—Uniphore’s enterprise AI architecture that transforms complex data into actionable intelligence through a secure, open, and model-agnostic platform.

Uniphore’s Four-Layer Cake is a composable, secure AI architecture designed to make enterprise data AI-ready and action-ready—without requiring data migrations, reengineering, or lock-in.

Each layer addresses a different challenge in transforming enterprise data into AI outcomes:

Data Layer: The Foundation of AI-Ready Data

The Problem

Enterprise data is fragmented—scattered across clouds, legacy systems, and formats. Getting it AI-ready typically means expensive migrations and endless cleansing.

The Uniphore Solution

Uniphore’s Data Layer makes AI-ready data possible at scale through a zero-copy, hybrid-composable fabric that connects and transforms data where it resides. 

  • Captures structured and unstructured data (voice, screen, text, metadata)
  • Automates cleansing, transformation, and enrichment
  • Supports data privacy, governance, and regulatory compliance
  • Semantic layer turns business language into model-readable queries

Why it matters: AI starts with clean, contextual data. This layer prepares it—without disrupting your existing stack. 

Knowledge Layer: Structuring Data into Actionable Intelligence

The Problem

Even after capture and cleansing, data is still unstructured. Traditional RAG pipelines produce hallucinations and miss critical context. 

The Uniphore Solution

The Knowledge Layer turns AI-ready data into structured, retrievable, explainable knowledge. It goes beyond basic retrieval to deliver: 

  • Enterprise-grade RAG with guardrails and evidence management
  • Knowledge graphs and entity extraction
  • Domain-specific tuning for policy-heavy, regulated, or high-stakes content
  • Support for voice, video, and document-based knowledge creation

Why it matters: Normalized and contextualized knowledge is essential for LLMs and agents to give accurate, trusted answers. 

Model Layer: Operationalizing AI-Ready Data Across Models

The Problem

Enterprises don’t want to bet on one model—but integrating and updating models is often expensive and time-consuming.

The Uniphore Solution

The Model Layer enables model interoperability, orchestration, and performance optimization—while feeding each model with AI-ready data from upstream layers. 

  • Works with GPT, Claude, Gemini, LLaMA, Mistral, and more
  • Supports training and fine-tuning of SLMs using proprietary data
  • Built-in model abstraction and orchestration
  • High-performance serving infrastructure for efficiency at scale

Why it matters: AI-ready data only delivers value if it flows seamlessly into the right models—and can evolve with them.

Agentic Layer: Turning AI-Ready Data into Action

The Problem

Most AI tools provide insights—but few integrate those insights into workflows or actions. Business users can’t leverage AI without help from IT. 

The Uniphore Solution

The Agentic Layer deploys pre-built and custom AI agents that turn enterprise knowledge into decisions, automations, and frontline impact. 

  • Ready-to-use agents for CX, sales, HR, marketing
  • No-code/low-code builder for rapid custom agent creation
  • Orchestration across multi-agent systems and third-party AI tools
  • Natural language interfaces for agent instruction and refinement

Why it matters: The final step in the AI lifecycle is activation—AI-ready data must fuel agents that can automate, assist, and deliver real business value.

The Business Value of AI-Ready Data—Delivered by Design

With Uniphore’s Four-Layer architecture, enterprises can: 

Goal How Uniphore Enables It
Accelerate AI adoption Use data where it lives, no migration required
Ensure AI accuracy Contextualize and structure enterprise knowledge
Future-proof model strategy Support any model, with no lock-in
Empower business teams Deploy usable, customizable AI agents fast
Maintain control and compliance Meet data sovereignty, privacy, and audit requirements

Why Businesses Choose Uniphore for AI-Readiness

Composable Architecture

Uniphore is built for flexibility. Deploy across any cloud, use any AI model, and integrate with existing systems—without lock-in or reengineering.

Enterprise-Grade Security & Compliance

Zero-copy data access, role-based controls, governance, and compliance baked into every layer—ensuring full data sovereignty.

Multimodal Intelligence

Voice, text, screen, sentiment, emotion—Uniphore understands and processes all forms of enterprise interaction data in real time.

Built for Business and IT

Business users can build agents through natural language interfaces. IT teams retain control through governance, integration, and model management.

AI That Works Across the Stack

From data ingestion to model orchestration to agent deployment—Uniphore provides an end-to-end platform, not just a point solution.

Once data is AI-ready, it becomes fuel for enterprise innovation and automation.

Conclusion: From Data to Deployment—Make AI Readiness a Reality

AI-ready data is not just a technical milestone—it’s the foundation of meaningful enterprise AI. Without it, models falter, hallucinate, or stall. With it, enterprises unlock automation, personalization, insight, and growth.

Uniphore’s Four-Layer AI architecture is the fastest, most secure path to preparing and activating AI-ready data—turning complexity into capability, and data into action. 

Search