U-Analyze efficiently analyzes 100% of all customer interactions across voice, chat and email for a deeper understanding of customer needs, preferences and behaviors.
Enhance contact center performance, boost agent effectiveness, and ensure service quality with AI-powered conversational analytics and actionable insights. Gain deep, actionable insights from customer interactions AI-powered conversational analytics solutions. Improve decision-making today.
Highlights
100% of interactions analyzed across voice, chat and email
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Pricing is based on the duration and terms of your contract with the vendor. This entitles you to a specified quantity of use for the contract duration. If you choose not to renew or replace your contract before it ends, access to these entitlements will expire.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
U-Analyze uses a single pricing dimension called U-Analyze Max (Users). You pay per named agent, meaning each individual user assigned to the platform counts toward your cost. Your total scales directly with the number of named agents you enroll. There are no separate tiers, instance sizes, or usage-based add-ons to choose from. This is a contract-based purchase, so pricing applies over your committed term. To adjust cost, you increase or decrease the count of named agents covered under the agreement.
Top-of-mind questions for buyers
What counts as one named agent for billing under U-Analyze Max (Users)?
A named agent is an individual user account assigned to the platform. Each person you enroll counts as one, regardless of how many conversations they handle. Billing follows the number of assigned accounts, not activity level or call volume analyzed.
Does the number of conversations analyzed affect what I pay?
No. Cost is driven by named agent count, not conversation volume. The platform can analyze every customer interaction without adding per-conversation charges. To change cost, you adjust how many named agents are covered under your agreement.
What happens to my cost if I add more agents mid-term?
Because billing is per named agent, adding agents increases your covered count and your cost scales with that number. Reducing enrolled agents lowers it. The exact quantity is set under your contract term, so changes apply to the agreement's agent count.
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Analyzes 100% of customer interactions across voice, chat, and email channels
Multilingual Language Support
Multilingual language identification capabilities for diverse customer interactions
AI-Powered Conversational Analytics
AI-powered conversational analytics engine for extracting actionable insights from customer interactions
Custom Reporting
Customized business-driven reports generation based on analyzed interaction data
Agent Performance Monitoring
Contact center performance monitoring and agent effectiveness evaluation through interaction analysis
Real-time Monitoring and Dashboards
Second-by-second monitoring of contact center metrics across all channels with customizable dashboard displaying call volumes, wait times, and agent activity
Historical Analytics and Reporting
Contact center metrics available by day, week, month, and year with instant access to activity and performance data for identifying trends and concerns
Contact Flow Visualization
Visual cradle-to-grave representation of customer journey through contact center with ability to review hold times, transfer times, and diagnose routing problems
Lexical Bot Analysis
Evaluation of Amazon Lex bot effectiveness including analysis of word usage, expression matching against configured intents, and slot-filling success rates
Contact Search and Filtering
Complex contact record search functionality with filtering capabilities based on sentiment and transcript analysis for identifying and improving customer service interactions
Omnichannel Communication
Support across multiple channels including web, social, mobile, voice, messaging, live chat, and email with seamless conversational experiences
Knowledge Management
Comprehensive knowledge graph and knowledge management system integrated with AI agents for enhanced resolution capabilities
Pre-built and Custom Integrations
Over 1,200+ pre-built integrations available on the Zendesk App Marketplace with tools to create and configure custom experiences
Real-time Reporting and Analytics
Real-time reporting and analytics capabilities with measurement and insights for monitoring service performance and outcomes
Time-Saving Automation That Uncovers Key Trends and Customer Needs
Reviewed on Oct 15, 2026
Review provided by G2
What do you like best about the product?
helps identify important trends, understand customer needs, and improve decision-making. The automation saves time
What do you dislike about the product?
accuracy of insights depends on the quality of the conversation data. Sometimes, it may miss important context or misunderstand complex conversations.
What problems is the product solving and how is that benefiting you?
helps solve the problem of manually reviewing large numbers of conversations to identify customer needs, recurring issues, and important trends. It saves time by automatically analyzing conversations and highlighting useful insights.
Anonymous
Fast Summaries Turn Conversations Into Actionable Insights
Reviewed on Oct 13, 2026
Review provided by G2
What do you like best about the product?
I like how Conversation Insights Agent quickly turns conversations into action items, identifies recurring issues and customer sentiment, and gives me quick summaries and trends. It saves me time by highlighting key customer concerns and recurring patterns, making it easy to identify issues. It also reduces the time I spend manually reviewing conversations, and the initial setup was very easy.
What do you dislike about the product?
no
What problems is the product solving and how is that benefiting you?
I use Conversation Insights Agent to analyze customer conversations, identify common questions and pain points, and turn conversations into action items quickly. Its quick summaries highlight trends, recurring issues, and customer sentiment, saving me time I’d otherwise spend reviewing each conversation manually.
Retail
Makes It Easier to Understand Customer Conversations
Reviewed on Oct 13, 2026
Review provided by G2
What do you like best about the product?
What I like most about Conversation Insights Agent is that it makes it much easier to understand what’s really happening across customer conversations. Rather than having to review interactions manually, it helps surface common issues, customer sentiment, and recurring patterns that might otherwise be missed. I also appreciate how it can take a large amount of conversation data and turn it into useful, actionable insights, so teams can more quickly spot problems, better understand customer needs, and decide where to focus their efforts.
What do you dislike about the product?
One area that could be improved is the accuracy and consistency of the insights, particularly when conversations cover complex topics or shift across different contexts. At times, the AI-generated insights can overlook small but important details, which means manual validation is still necessary. I also feel the reporting and customization options could be more flexible, so users can prioritize the metrics that matter most to them. Overall, making the insights easier to interpret and turn into action would significantly improve the experience.
What problems is the product solving and how is that benefiting you?
Conversation Insights Agent addresses the challenge of manually combing through large volumes of customer conversations to figure out what’s working and what needs improvement. It makes it much easier to spot recurring issues, gauge customer sentiment, and identify patterns that could otherwise be missed. For me, the biggest benefit is the time saved when analyzing conversations and extracting useful information. Rather than spending hours reviewing individual interactions, teams can focus on the insights and act on them sooner. It also supports decisions grounded in real conversation data instead of assumptions, which helps improve the customer experience and boosts overall team efficiency.
Kodam S.
Quickly Highlights Key Conversation Points
Reviewed on Oct 11, 2026
Review provided by G2
What do you like best about the product?
What I like best about Conversation Insights Agent is that it helps me quickly understand conversations and identify the most important points, without having to manually go through everything.
What do you dislike about the product?
One thing I dislike is that the insights can sometimes feel a little too general and may miss the context behind a conversation. I would like it to provide more specific observations and practical suggestions, so I can understand not just what happened but also what could be improved.
What problems is the product solving and how is that benefiting you?
Conversation Insights Agent helps me avoid spending too much time manually reviewing conversations. It pulls together important details, recurring issues, and useful patterns in one place, which makes it easier for me to understand what’s going on and decide what needs attention.
Aranab R.
Turns Customer Calls and Chats into Actionable Insights—Fast
Reviewed on Oct 09, 2026
Review provided by G2
What do you like best about the product?
What I like best is how quickly it turns raw customer calls and chats into clear, actionable insights without manual review. It automatically surfaces summaries, sentiment, recurring pain points, and performance gaps. That makes it much easier for CX and operations teams to spot issues early and act on them.
What do you dislike about the product?
What I dislike is that its real-time entity recognition can sometimes produce false positives in noisy, high-volume, or multi-party audio. It also needs considerable manual tuning of domain-specific intents and confidence thresholds before the insights become reliable
What problems is the product solving and how is that benefiting you?
It solves the problem of manually reviewing large volumes of customer calls and chats to find issues, trends, and quality gaps. This benefits me by saving time, surfacing recurring customer pain points and compliance risks faster, and enabling quicker, evidence-based decisions.