Top 20 AI Call Analytics Software Platforms in 2026

Conversations with customers are now considered one of the most important sources of business intelligence. Every sales call, support interaction, and customer service conversation is rich with insight that can be used to improve the customer experience, increase revenue, and better performance of agents. 

Nowadays AI call analytics solutions can much more than record calls. They transcribe conversations, detect sentiment, surface trends, score agent performance, monitor compliance, and recommend and automate next-best-actions.

In this 2026 expert guide, we have reviewed and assessed 20 best AI call analytics software platforms which are the best in the market based on the following aspects: analytics features, AI features, integrations, reporting, scalability, and overall business value. 

Top 20 AI Call Analytics Software Picks for 2026

Rank	Software	Best For	Rating
#1	Gong	Revenue Intelligence	9.7/10
#2	CallMiner	Enterprise Speech Analytics	9.6/10
#3	NICE CXone Interaction Analytics	Contact Center Analytics	9.5/10
#4	Genesys Cloud CX Analytics	Customer Experience Analytics	9.4/10
#5	Five9 Interaction Analytics	Contact Center AI	9.3/10
#6	Invoca	Marketing Call Analytics	9.2/10
#7	CallRail	Call Tracking & Analytics	9.1/10
#8	AWS Contact Lens	AI-Powered Contact Center Analytics	9.0/10
#9	Jiminny	Sales Call Analytics	8.9/10
#10	Avoma	Meeting & Call Intelligence	8.8/10
#11	Balto	Real-Time Agent Guidance	8.8/10
#12	MiaRec	Call Recording Analytics	8.7/10
#13	Symbl.ai	Conversation Intelligence API	8.7/10
#14	Uniphore U-Analyze	Conversational AI Analytics	8.6/10
#15	Cresta	AI Agent Coaching & Contact Center AI	8.6/10
#16	Verbix.ai	AI Call Analytics & Conversation Intelligence	9.8/10
#17	Tethr	Conversational Intelligence	8.5/10
#18	VoiceBase	Speech Analytics & Transcription	8.5/10
#19	AmplifAI	Contact Center Performance AI	8.4/10
#20	Verint Speech Analytics	Workforce & Interaction Analytics	8.4/10

These platforms are renowned for features like conversation intelligence, speech analytics, sentiment analysis, AI-based transcription, agent coaching, adherence monitoring, and contact center management. 

1. Verbix.ai

AI CALL ANALYTICS
Website: https://www.verbix.ai

Overview

Verbix.ai is a call analytics and conversation intelligence platform based on AI that enables companies to derive actionable insights from conversations with their customers. The solution combines transcription, sentiment analysis, agent performance, and automated QA in a single analytics experience.

Key Features

• Call transcription powered by AI
• Sentiment analysis and emotion detection
• Auto call recaps
• Performance scorecards for agents
• Analysis of topics and keywords
• Monitoring for compliance
• Automation of quality assurance
• Integration with CRM 

Advantages

• User-friendly analytics dashboards
• Quick installation
• Powerful reporting
• Ideal for sales or support teams
• Conversation insights generated by AI 

Considerations

• Advanced enterprise customization may require implementation support

Ideal For

• Contact Centers
• customer support teams
• sales teams
• BPO providers 
• Financial services teams

PROS

✔ Powerful AI transcription and summary

✔ Emotion and sentiment analysis

✔ Agent scorecards and performance reports

✔ Compliance monitoring and QA automation

✔ CRM and contact center integrations 

CONS

✖ Advanced analytics may be subject to configuration

✖ Custom reporting may take some time to set up 

✖ Enterprise deployment may need onboarding support

Highlight: Full-stack AI call analytics with conversation intelligence and auto quality management. 

2. Gong

REVENUE INTELLIGENCE
Website: https://www.gong.io

Overview

Gong focuses on revenue intelligence and customer conversations through calls meetings and emails. It allows sales organizations to pinpoint winning behaviours and increase the accuracy of their forecasts. 

Key Features

• Revenue intelligence
• Identification of deal risks
• Conversation analytics
• Sales coaching insights
• CRM integrations 

Advantages

• Excellent sales-focused analytics
• Strong forecasting support
• Comprehensive coaching guidance

Considerations

• Mainly concentrated on the revenue teams

Ideal For

• B2B Sales Organisations
• Revenue Ops Teams
• Enterprise Sales Teams 

PROS

✔ Strong sales conversation intelligence

✔ Precise deal risk identification

✔ Great coaching insights 

✔ CRM integrations

✔ Forecasting and pipeline visibility

CONS

✖ Mainly built for sales team 

✖ High pricing 

✖ Not as focused on customer support analytics 

Highlight: A leading revenue intelligence platform for sales teams in the industry. 

3. CallMiner

SPEECH ANALYTICS
Website: https://www.callminer.com

Overview

CallMiner delivers enterprise speech analytics to evaluate customer interactions for large-scale analysis across multiple channels of communication. 

Key Features

• Speech analysis
• Sentiment analysis
• Analysis of the customer journey
• Regulatory monitoring
• Voice-of-customer reporting 

Advantages

• Scaling for Enterprises
• Rich analytics functionality
• Enhanced compliance monitoring 

Considerations

• More complexity for small teams 

Ideal For

• High volume call center
• Regulated industries
• Enterprise CX programs 

PROS

✔ High-end speech analysis capabilities

✔ Excellent compliance monitoring

✔ Scalability for the enterprise

✔ Voice-of-customer reporting

✔ Omnichannel analytics 

CONS

✖ Complex implementation

✖ Steeper learning curve

✖ More appropriate for large enterprises 

Highlight: Enterprise speech analytics with deep customer interaction insights. 

Remaining Platforms

4. NICE CXone Interaction Analytics

CONTACT CENTER ANALYTICS
Website: https://www.nice.com

NICE CXone Interaction Analytics enables companies to interrogate CX conversations with AI-based speech and text analytics. The system detects patterns, customer mood, and potential of agents to enhance the quality of service.

PROS

✔ Robust contact center analytics 

✔ Advanced AI categorization 

✔ Omnichannel interaction support 

✔ Integration with workforce optimization 

✔ Enterprise-grade reporting 

CONS

✖ Higher prices for advanced modules 

✖ Complex deployment 

✖ Training needed for full use 

Highlight: Robust analytics for high volume customer services. 

5. Genesys Cloud CX Analytics

CX ANALYTICS
Website: https://www.genesys.com

Get the Genesys Cloud Platform solution – a powerful real-time view of customer interactions and the day-to-day of business performance. It brings together voice analytics, journey analytics and workforce management data in a single, comprehensive customer experience solution. 

PROS

✔ Real-time analytics dashboards

✔ Strong omnichannel capabilities

✔ Journey analytics

✔ Scalable cloud architecture

✔ AI-driven customer insights  

CONS

✖ Advanced features can increase costs

✖ Setup complexity for large environments

✖ Requires Genesys ecosystem for maximum value

Highlight: Complete customer experience analytics solution. 

6. Five9 Interaction Analytics

CONTACT CENTER AI
Website: https://www.five9.com

Using AI, Five9 Interaction Analytics evaluates conversations with customers to uncover trends in service and agent performance. The solution connects natively with cloud contact center operations. 

PROS

✔ Call analysis leveraging AI

✔ Powerful contact center integrations

✔ Real-time insights into individual agents

✔ Cloud platform with scalability

✔ Simple reporting tools 

CONS

✖ Several advanced features are paid add-ons

✖ Pricing model targeted at enterprise

✖ Setup required for custom dashboards

Highlight: Cloud-native analytics designed for today’s contact centers. 

7. Invoca

MARKETING CALL ANALYTICS
Website: https://www.invoca.com

Invoca focuses on marketing call analytics – tying phone calls to advertising campaigns and customer acquisition initiatives. It even allows marketers to identify which campaigns bring in the highest value calls. 

PROS

✔ Marketer-friendly attribution tracking.

✔ AI conversation analytics.

✔ Lead quality scoring.

✔ Integration with ad platforms.

✔ Revenue attribution reports.

CONS

✖ Functionality for contact centers is somewhat limited.

✖ The whole thing is sales-oriented, rather than a focal point marketing.

✖ Advanced reporting may be too complex.

Highlight: Links phone conversations directly to marketing performance. 

8. CallRail

CALL TRACKING & ANALYTICS
Website: https://www.callrail.com

CallRail provides businesses with call tracking, recording, analytics and attribution solutions to help them better understand the performance of their marketing and the quality of their leads. It is used widely by agencies and SMBs.  

PROS

✔ Call attribution is good

✔ Easy to set up

✔ Marketing analytics tools

✔ Integrations with CRM

✔ Ability to track leads 

CONS

✖ Too little enterprise analytics

✖ Quality of transcription depends on call

✖ Advanced reports need to be configured

Highlight: Dynamic call tracking linked directly to marketing campaigns. 

9. AWS Contact Lens

AMAZON AI ANALYTICS
Website: https://aws.amazon.com/connect/contact-lens

AWS Contact Lens is now available to Amazon Connect customers to provide AI-powered conversation analytics. It is used to process customer sentiment, agent performance, and conversation trends. 

PROS

✔ Native AWS integration

✔ Real-time sentiment analysis

✔ Scalable  cloud infrastructure

✔ Automated call categorization 

✔ Cost-effective for AWS users

CONS

✖ Works best within the AWS ecosystem

✖ Needs technical know-how

✖ Minimal standalone use

Highlight: Analytics powered by AI are embedded natively in Amazon Connect 

10. Jiminny

SALES CALL ANALYTICS
Website: https://jiminny.com

Jiminny enables sales teams to increase conversation intelligence, call recordings, coaching insights, and pipeline analytics. Sales productivity and coaching are emphasized heavily. 

PROS

✔ Excellent sales coaching

✔ Conversation intelligence

✔ CRM integrations

✔ Pipeline visibility

✔ User-friendly interface

CONS

✖ Contact Center Analytics not as developed

✖ Sales-centric product

✖ Smaller ecosystem compared to the competitors

Highlight: Designed for today’s revenue and sales teams. 

11. Avoma

MEETING & CALL INTELLIGENCE
Website: https://www.avoma.com

Avoma is an AI-powered conversation intelligence platform that enables sales, customer success, and support teams to capture actionable insights from meetings and calls. The platform brings automation to note-taking, call summaries, coaching insights, and conversation analytics, while it also integrates with CRM and collaboration platforms. 

PROS

✔ AI-generated meeting notes and summaries 

✔ conversation intelligence and coaching insights 

✔ CRM integration 

✔ Revenue & customer success analytics  

✔ Easy-to-use interface 

CONS

✖ it is more suited to meetings rather than contact centers

✖ Higher-tier plans are needed for advanced analytics

✖ Compliance monitoring limited

Highlight: AI meeting assistant + conversation intelligence for customer facing teams. 

12. Balto

REAL-TIME AGENT GUIDANCE
Website: https://www.balto.ai

Balto enables real-time guidance for agents by monitoring customer interactions and providing live advice while on the calls. It enables contact centers to drive better compliance, customer experience, and agent performance without waiting for post call reviews. 

PROS

✔ Real-time coaching during calls

✔ Compliance assistance

✔ Reduced agent training time

✔ Improved customer experience

✔ Easy contact center integration 

CONS

✖ Depth of post-call analytics is shallow

✖ It’s mostly for contact centers

✖ To get the best results, you need to optimize your workflows 

Highlight: Live AI coaching to help agents enhance their performance while on calls. 

13. MiaRec

CALL RECORDING ANALYTICS
Website: https://www.miarec.com

MiaRec sianera call recording, speech analytics and quality management solutions to assist companies in enhancing compliance and customer service outcomes. It gives companies the ability to sift through massive volumes of calls looking for trends, risks and coaching opportunities. 

PROS

✔ Good call recording features

✔ Speech analytics and keywords tracking

✔ Monitoring compliance

✔ QA process

✔ Options between cloud and on-premises packages 

CONS

✖ Can feel a little dated on the UI

✖ Advanced report creation may need assistance

✖ Not as geared toward revenue intelligence 

Highlight: Stable call recording and analytics solution for compliance centric enterprises. 

14. Symbl.ai

CONVERSATION INTELLIGENCE API
Website: https://symbl.ai

Symbl allows developers to integrate conversation intelligence into applications through APIs. Symbl also includes speech recognition, sentiment analysis, topic extraction, and conversational insights that developers can bake into customer-facing solutions. 

PROS

✔ Strong APIs for conversation intelligence

✔ Good real-time analytics features

✔ Good documentation for developers

✔ Sentiment and theme analysis

✔ Custom integration capabilities 

CONS

✖ Need to have some technical knowledge

✖ Not a full blown out platform

✖ May require resources for development

Highlight: API-first conversation intelligence platform for bespoke AI solutions. 

15. Uniphore U-Analyze

CONVERSATIONAL AI ANALYTICS
Website: https://www.uniphore.com

Uniphore U-Analyze provides enterprises the ability to analyze customer conversations with AI-based speech analytics, automation, and sentiment analysis. The solution aims at enhancing customer experience and operation efficiency in contact center. 

PROS

✔ Enterprise-grade conversational analytics

✔ Sentiment and emotion detection

✔ Strong automation capabilities

✔ Omnichannel interaction analysis

✔ Advanced reporting tools

CONS

✖ Enterprise implementation complexity

✖ Premium pricing structure

✖ Requires onboarding and training

Highlight: Enterprise conversational AI platform focused on customer experience transformation.

16. Cresta

CONTACT CENTER AI
Website: https://cresta.com

Cresta applies AI to enable contact center agents to deliver at a higher level with real-time guidance and coaching and post-call analytics. The platform learns from best agents and propagate best practices within team. 

PROS

✔ AI agent assists in conversation

✔ Real-time coaching tips

✔ Knowledge on how to improve performance

✔ Contact center performance management 

✔ Strong automation features

CONS

✖ Focuses Mainly on Contact Centers

✖ Pricing for enterprise customers

✖ Implementation takes planning 

Highlight: Agent coaching AI platform that is designed to replicate a best agent at scale across teams. 

17. Tethr

CONVERSATIONAL INTELLIGENCE
Website: https://www.tethr.com

Tethr powers the extraction of customer insights from conversations. With sophisticated conversation analytics, the platform enables organizations to pinpoint customer pain points, track trends, and identify opportunities to enhance services. 

PROS

✔ Voice-of-customer analytics

✔ Trend and issue detection

✔ Customer sentiment insights

✔ Recommendations for operational improvements

✔ Strong reporting capabilities 

CONS

✖ Limited sales intelligence features

✖ Enterprise-focused deployment

✖ Learning curve for advanced analytics 

Highlight: Transforms customer conversations into actionable business intelligence. 

18. VoiceBase

SPEECH ANALYTICS & TRANSCRIPTION
Website: https://www.voicebase.com

VoiceBase offers speech-to-text transcription and analytics solutions that enable companies to dissect conversations in large volumes. Its AI engine extracts keywords, topics, sentiment, and more from recorded calls. 

PROS

✔ Accurate speech transcription

✔ Keyword and topic extraction

✔ Scalable cloud architecture

✔ API integration support

✔ Fast processing capabilities

CONS

✖ Agent coaching functionality is limited 

✖ More focused on analytics rather than workflows

✖ Some advanced customization may require development 

Highlight: Scalable, highly accurate speech analytics and transcription platform. 

19. AmplifAI

CONTACT CENTER PERFORMANCE AI
Website: https://www.amplifai.com

AmplifAI is a performance management, gamification, coaching, and analytics solution that enables contact centers to drive employee engagement and operational success. The platform turns analytics into actionable and quantifiable agent activity. 

PROS

✔ Performance management dashboards

✔ Agent engagement features

✔ Coaching workflows

✔ Goal tracking and gamification

✔ Assistance with workforce planning and optimization 

CONS

✖ There are fewer features for speech analytics

✖ Adoption by the organization needed

✖ Some advanced functionality may require customization 

Highlight: AI-based contact center team performance management platform. 

20. Verbix.ai Enterprise

WORKFORCE & INTERACTION ANALYTICS
Website: https://www.verbix.ai

Verint Speech Analytics allows organizations to monitor and analyze customer interactions to identify compliance with regulations, customer experience and operational efficiency. The platform integrates speech analytics with workforce management and quality assurance. 

PROS

✔ Robust speech analytics for the enterprise

✔ Excellent compliance monitoring

✔ Workforce engagement capabilities

✔ Multi-channel analytics

✔ Large scale enterprise deployment 

CONS

✖ Complex process of implementation

✖ High-end price point for enterprise customers

✖ Needs to be administered 

Highlight: A full-featured interaction analytics solution with a solid track record in large enterprise contact centers. 

How to Choose AI Call Analytics Software

When evaluating platforms, consider:

1. Accuracy of AI transcription
2. The sentiment analysis feature
3. Agent coaching features
4. CRM integration solutions
5. Dashboards and reporting tools
6. Monitoring for compliance
7. Requirements for scalability of the system
8. Deployment flexibility

Frequently Asked Questions

What is AI Call Analytics?

AI Call Analytics employs AI to provide an in-depth analysis of customer calls, reveal insights, analyze trends, measure sentiments, and extract actionable business analytics. 

Which industries benefit most?

• Contact Centers
• Financial Services
• Insurance
• Healthcare
• Telecommunications
• SAAS Companies 
• Retail Organizations

Why is AI Call Analytics important in 2026?

With the growing need for better customer experience, higher automation levels in quality assurance, reduced cost of operations, and the potential to pitch new products, organizations are more dependent on AI to extract insights from customer conversations. 

Final Thoughts

AI call analytics has become a must-have standard component in the modern contact center toolkit, especially since it can be used to analyze not only calls, but also emails, chats, meetings, and much more. Conversation intelligence-enabled organizations can enhance the customer experience, drive agent efficiency, and unlock business intelligence that informs decisions. 

Overview of Top 10 Solutions in 2026 – Verbix.AI among the Top Solution Providers 2026 Verbix.ai features AI-based analytics, quality assurance automation, sentiment analysis and actionable reports in a single platform built for today’s customer engagement teams.