9 Best Call Center Speech Analytics Software (2025)

Call center speech analytics software has evolved from basic transcription tools to AI-powered platforms that promise to extract every insight from customer conversations. The surge in Generative AI capabilities has created dozens of new speech analytics software vendors, each claiming their 'AI' can transform your contact center through automated quality scoring, real-time coaching, and predictive analytics.

CX leaders and contact center executives are investing heavily in AI-powered speech analytics platforms, expecting them to uncover hidden patterns, predict customer behavior, and automatically improve agent performance. Modern speech analytics platforms transcribe with 99% accuracy, detect emotions in milliseconds, and flag compliance risks instantly, yet many contact centers still struggle to see meaningful improvement from their speech analytics investments.

Why? Because most call center speech analytics software operates as another data silo.

Valuable insights remain trapped in the platform, unable to trigger quality workflows, unable to inform coaching sessions, unable to update performance scorecards.

The limitation isn't the technology, it's the data foundation powering the AI.

When AI-powered speech analytics software operates without unified data from your CCaaS, CRM, WFM, quality platforms, Excel files, and every other source across your contact center, it works partially blind. AI can surface coaching opportunities but can't trigger coaching workflows. It can detect compliance patterns but can't prevent violations. It can identify top performer behaviors but can't scale them across teams.

With dozens of vendors claiming 99% transcription accuracy and "AI-powered" everything, choosing the right call center speech analytics software means looking beyond just the features to the foundation that powers those features.

Does the speech analytics platform unify all your data into an AI-ready layer that enables action? Or does it create another silo that generates reports? These are the questions you need to be asking as you review vendors.

In this comprehensive software guide, we've compared the 9 best call center speech analytics software platforms for 2025 based on their types, features, and overall evaluation criteria.

Topics covered:

• Compare the 9 Best Call Center Speech Analytics Software
• What is Call Center Speech Analytics Software
• Types of Call Center Speech Analytics Software
• Speech Analytics vs Conversation Intelligence vs Voice Analytics Software
• Hidden Costs of Disconnected Speech Analytics
• Call Center Speech Analytics Software Features
• Call Center Speech Analytics Software Evaluation Criteria
• The Best Call Center Speech Analytics Software Reviews

Editor's Top Pick: AmplifAI ranks #1 for call center speech analytics software in 2025, named a Gartner Cool Vendor and Leading Automated QA/QM provider by the CMP Research Prism Report. AmplifAI unifies all contact center data creating an AI-ready foundation that powers 100% automated quality assurance, next best actions for every role, and complete performance management from a single platform.

Compare the Best Call Center Speech Analytics Software

We've compared the best call center speech analytics software platforms of 2025 based on comprehensive evaluation of features, speech analytics software types, and vendor evaluation criteria.

Each call center speech analytics software vendor is assessed across five speech analytics software types (unified, post-call, real-time, predictive, and conversation intelligence) and nineteen core speech analytics software features including automated QA, sentiment analysis, compliance monitoring, performance management, and coaching integration.

Links in the table below will take you to the full vendor review.

What is Call Center Speech Analytics Software

Call center speech analytics software is technology that analyzes voice conversations to extract insights about agent performance, customer sentiment, and operational trends.

Most modern call center speech analytics software uses AI and natural language processing to understand both what was said and how it was said, identifying emotions, topics, compliance risks, and coaching opportunities across thousands of interactions.

Types of Call Center Speech Analytics Software

Call center speech analytics software operates through five distinct types, each addressing different operational needs and conversation stages. Some speech analytics platforms transcribe and analyze completed interactions to identify coaching opportunities and quality trends while others monitor live conversations to provide real-time agent guidance and prevent compliance violations.

The more advanced platforms connect speech data across multiple systems to enable enterprise-wide action, while predictive speech analytics solutions use historical patterns to forecast future outcomes.

These five types of call center speech analytics software each capture value from customer conversations differently.

Call Center Speech Analytics vs Conversation Intelligence vs Voice Analytics Software

When it comes to extracting insights from conversations using AI, contact center leaders, QA teams, and executives encounter these three terms the most,

1. "Speech Analytics Software"
2. "Conversation Intelligence Software"
3. "Voice Analytics Software"

These terms are used interchangeably by vendors, and essentially mean the same thing with slight differences in the types of insights, and capabilities. 

Understanding the difference between these terms will help your contact center choose the right technology for your specific needs.

Marketing and product terminology for AI-powered call center software evolves faster than the technology does.

Speech Analytics Software

Speech Analytics Software focuses specifically on analyzing voice conversations. Speech analytics software transcribes calls, identifies keywords and phrases, detects emotions through acoustic features, and surfaces patterns across thousands of voice interactions. Speech analytics software specializes in understanding the nuances of spoken communication including tone, pace, silence, and even overtalk.

Conversation Intelligence Software

Conversation Intelligence Software takes a broader approach to analyzing conversation data than speech analytics software, and in many cases is the more modern definition of what some vendors call "speech analytics software". Conversation intelligence software processes voice calls, chat transcripts, emails, social media messages, and SMS conversations through a unified analytics engine. Conversation intelligence software provides a complete view of customer conversations across every touchpoint, making conversation intelligence ideal for omnichannel contact centers.

Voice Analytics Software

Voice Analytics Software is essentially another term for speech analytics software, specifically emphasizing the acoustic and voice-specific aspects of analysis. Voice analytics software focuses on the audio characteristics of conversations like pitch, tone, speaking rate, and emotional indicators derived from voice patterns rather than just words themselves.

Whether SaaS vendors call their call center solution 'speech analytics software', 'conversation intelligence software' or 'voice analytics software', matters less than the capabilities and problems it solves (or creates) for your org.

The Hidden Costs of Disconnected Call Center Speech Analytics Software

Most contact centers that operate with call center speech analytics software leverage it in one of two modes:

1. Siloed point solutions
2. CCaaS platforms

Siloed Speech Analytics Point Solutions

While siloed call center speech analytics software, or conversation intelligence generates millions of insights in most cases it doesn't adequately connect its AI to your other systems. Quality teams discover why interactions fail but can't connect those insights to coaching programs. Compliance teams detect violations after regulatory exposure already exists. Performance managers see dashboards full of metrics without understanding the conversations driving them.

When your speech analytics software operates in isolation, you don't just pay for one platform, you need multiple disconnected solutions attempting to fill the gaps left by the other system. You need a speech analytics platform to identify problems, a separate QA tool to score them, another call center coaching platform to address them, and a different dashboard for performance tracking. Each with its own subscription, its own data silo, its own version of truth.

The Result: Every siloed AI platform becomes a patchwork of AI working in isolation, generating observations within their own system instead of delivering actions to every role across the organization.

Contact centers invest $80,000 to $500,000 annually across these fragmented systems, while the AI in each is operating partially blind to the bigger picture. Without a unified AI-ready data pipeline, AI-generated speech analytics insights lack the context to be accurate or fully actionable to all roles in the organization.

CCaaS-Embedded Speech Analytics Limitations

CCaaS call center speech analytics software platforms come with built-in speech analytics creating a different limitation than the siloed solutions called the 'walled garden'. CCaaS AI powered speech analytics software rarely analyze's data outside of its own ecosystem, or in cases they do, it requires expensive custom data integrations to connect with your existing tech stack, while still not working to its fullest capacity inevitably becoming a patchwork of integrations, data connections, and a maintenance nightmare.

Enterprise CCaaS vendors charge enterprise prices not just for the speech analytics software features and capabilities, but for every integration, every custom field mapping, every API connection to systems outside their walls.

The result: speech analytics data and insights become trapped in a vendor-controlled environment where accessing your own insights costs extra. Need to connect conversation data with your performance dashboards? That's a custom integration project. Want speech insights to auto QA and send next best actions to the roles that need those insights? Expect additional licensing costs (if they can do it at all). Every connection outside the CCaaS 'walled garden' adds complexity, cost, and vendor dependency that exponentially compounds over time.

Call Center Speech Analytics Software Features

Call center speech analytics software features span nineteen core capabilities that determine how conversation data gets processed, analyzed, and distributed across your contact center.

These features range from foundational speech analytics capabilities like transcription and sentiment analysis to advanced functions including predictive analytics, workflow automation, and cross-system data integration. The combination of features in any given call center speech analytics software platform shapes its operational scope from basic call monitoring to comprehensive conversation intelligence.

The following feature comparison table evaluates nineteen standard capabilities found in modern speech analytics platforms, helping you identify which features align with your contact center's requirements.

Call Center Speech Analytics Software Evaluation Criteria

Best Call Center Speech Analytics Software (2025)

All of the best call center speech analytics software platforms of 2025 we've reviewed have impressive AI technology and strong teams backing them. It wasn't easy to decide on the order, but the ones with the most complete speech analytics capabilities balanced with our overall evaluation criteria are closer to the top.

We've included both a speech analytics software types table, and a comprehensive features comparison table in each vendor review as a guide.

1. AmplifAI
2. CallMiner
3. NICE
4. Verint
5. Observe.AI
6. Genesys
7. Cresta
8. Convin
9. LevelAI

Editor's note:This guide provides in-depth analysis of each call center speech analytics software platform, helping you find the right fit for your contact center. But the best choice is the one that aligns with your unique operational needs and performance goals, so explore demos and ask how these solutions can address your specific challenges.

^{Vendor Review Methodology:These evaluations are based on publicly available information, vendor websites, product demonstrations, user reviews, and industry reports. We update our reviews regularly to maintain accuracy. If you're a vendor and see something that needs updating, please reach out, we're committed to keeping these reviews current and accurate.}

Why AmplifAI is ranked the Best Call Center Speech Analytics Software in 2025

AmplifAI call center speech analytics software extends speech analytics into a complete performance management platform by unifying conversation intelligence with every operational data source in your contact center. While other vendors stop at transcription and sentiment analysis, AmplifAI's unified data foundation ingests speech analytics, CCaaS, CRM, WFM, and 150+ sources to empower the entire contact center through: auto QA, automated quality management, AI-driven coaching, role-based dashboards, customer intelligence, and BPO vendor oversight. Speech analytics insights don't sit in reports, they flow directly into AI-driven, role-specific actions for CX leaders, QA teams, team leaders,  executives, and agents.

Standout Features & Unique Capabilities of AmplifAI

• Unified Data Foundation Powers Complete AI Platform: 150+ integrations create an AI-ready data layer that transforms speech analytics into automated QA, coaching workflows, role-specific performance dashboards, and customer intelligence—all from one unified source.
• AI-Driven Next Best Actions for Every Role: Speech insights trigger role-specific actions, coaching recommendations for team leaders, performance alerts for executives, quality priorities for QA teams, and recognition opportunities for agents, not just reports.
• BPO & Multi-Vendor Management: Unify speech analytics across multiple outsourcers and sites, with cross-vendor quality calibration, performance benchmarking, and consolidated dashboards for complete vendor oversight.
• Coaching Effectiveness Measurement with Performance Lift Tracking: The only platform that measures whether coaching actually works—tracking behavior change from speech patterns through coaching delivery to performance improvement, proving ROI.

Best Fit: Who Should Use AmplifAI?

• Mid-sized to enterprise contact centers (50+ agents) seeking unified speech analytics that connects to coaching and performance outcomes
• BPOs and multi-site operations requiring scalable conversation intelligence across clients and locations
• Contact center leaders focused on transforming speech data into measurable agent improvement and customer experience gains

Considerations: What to Keep in Mind Before Choosing AmplifAI

• Smaller teams (<20 agents) may find AmplifAI's unified platform exceeds immediate needs, though fast-growing contact centers will benefit from AmplifAI's scalability
• Best suited for organizations ready to integrate speech analytics with coaching and performance management, not a siloed analytics tool

Final Verdict: Is AmplifAI the Right Call Center Speech Analytics Software for You?

AmplifAI transforms call center speech analytics software from purely an insight generator into a performance enablement engine. By unifying conversation intelligence, sentiment analysis, coaching workflows, and performance metrics in one platform, AmplifAI ensures speech insights drive real behavioral change.

With a 4.8-star customer rating, 200,000+ users, and exclusive capabilities like Ask Your Transcripts, AmplifAI is the clear top choice for contact centers that want speech analytics software to deliver measurable outcomes, not just dashboards.

What makes CallMiner one of the best Call Center Speech Analytics Software of 2025?

CallMiner call center speech analytics software provides transcription and analysis of customer conversations to identify patterns and compliance risks. CallMiner processes voice, chat, and email interactions through AI-powered analytics that surface sentiment, topics, and behavioral trends. CallMiner offers Coach and RealTime modules for agent coaching and real-time agent guidance, while also providing APIs and connectors for integration with third-party systems.

Standout Features & Unique Capabilities of CallMiner

• Conversation Coverage Across Channels: Analyzes voice, chat, email, and social interactions with automated transcription and scoring based on configured rules.
• RealTime Agent Alerts: Provides on-screen notifications during calls for compliance warnings and script adherence reminders.

Best Fit: Who Should Use CallMiner?

• Large contact centers with dedicated analytics teams to manage the platform
• Regulated industries requiring conversation recording and strict compliance monitoring
• Organizations with existing performance management platforms that need conversation data inputs

Considerations: What to Keep in Mind Before Choosing CallMiner

• No integrated performance management - requires separate platforms for coaching and agent development
• Limited predictive capabilities - primarily historical analytics and reporting

Final Verdict: Is CallMiner the Right Call Center Speech Analytics Software for You?

CallMiner works for enterprises that need conversation analytics and already have performance management systems in place. CallMiner requires technical resources and additional tools to connect insights across systems.

What makes NICE one of the best call center speech analytics software of 2025?

NICE call center speech analytics software provides conversation analysis through Nexidia Analytics and CXone platform components that process voice, chat, email, and social interactions. NICE uses AI-powered speech analytics to identify sentiment, compliance risks, and conversation patterns within its CCaaS eco-system. NICE's primary focus is on it's enterprise-grade CCaaS infrastructure.

Standout Features & Unique Capabilities of NICE

• Nexidia Analytics Engine: Phonetic-based speech recognition that analyzes 100% of interactions for sentiment, compliance, and behavioral patterns with deep learning neural networks.
• CXone Mpower Workflow Orchestration: Connects front, middle, and back office workflows with AI-driven automation for customer service processes across departments.

Best Fit: Who Should Use NICE?

• Large enterprises with currently using NICE for their CCaaS infrastructure needing only their add-on analytics capabilities
• Organizations requiring phonetic-based analysis for compliance monitoring in regulated industries
• Contact centers with technical resources to manage complex integrations across multiple platforms

Considerations: What to Keep in Mind Before Choosing NICE

• Complex pricing structure with modules sold separately increasing total cost of ownership
• Analytics insights remain within NICE ecosystem unless integrated with third-party platforms

Final Verdict: Is NICE the Right Call Center Speech Analytics Software for You?

NICE works for enterprises needing CCaaS infrastructure with analytics modules that can integrate with existing systems. NICE Nexidia provides comprehensive conversation analysis but requires additional platforms or integration partners to fully maximize on the speech analytics insights generated.

What makes Verint one of the best call center speech analytics software of 2025?

Verint call center speech analytics software provides conversation analysis through specialized AI "bots" that handle different functions like quality scoring, real-time coaching, and transcription. Verint processes voice, chat, email, and social interactions using separate modules for speech analytics, text analytics, and workforce optimization. Verint focuses on bot-driven automation where each bot performs a specific task, requiring orchestration across multiple bots.

Standout Features & Unique Capabilities of Verint

• AI-Powered Bot Ecosystem: Specialized bots including Coaching Bot, Quality Bot, and Genie Bot that automate specific tasks like real-time guidance, quality evaluations, and data queries.
• Exact Transcription Bot: Speaker-separated transcription with claimed industry-leading accuracy that powers other Verint bots and analytics capabilities.

Best Fit: Who Should Use Verint?

• Large enterprises with workforce optimization focus needing modular analytics capabilities
• Contact centers with existing WFM infrastructure looking to only add speech analytics components
• Companies comfortable managing multiple bot deployments as opposed to a connected unified platform

Considerations: What to Keep in Mind Before Choosing Verint

• Verint requires orchestration across multiple bots to achieve comprehensive analytics coverage
• No unified performance management, instead utilizes separate modules for different functions
• Complex pricing with each bot and module priced separately

Final Verdict: Is Verint the Right Call Center Speech Analytics Software for You?

Verint works for enterprises that need modular analytics capabilities through specialized bots that can integrate with existing workforce management systems. Verint provides comprehensive bot-driven automation but requires managing multiple components.

What makes Observe.AI one of the best call center speech analytics software of 2025?

Observe.AI call center speech analytics software provides AI-powered conversation intelligence focused on automating quality assurance and agent coaching workflows. Observe.AI analyzes voice, chat, and email interactions using ASR and LLM models trained specifically for contact centers. Observe.AI specializes in Auto QA that evaluates 100% of interactions and real-time agent assist.

Standout Features & Unique Capabilities of Observe.AI

• Auto QA with Adaptive Automation: Automation that allows teams to customize QA automation levels from auto-suggest to auto-submit, evaluating 100% of interactions with granular control.
• Real-Time AI Experience Designer: Build personalized agent experiences that combine live guidance with individual QA and coaching insights, delivering targeted prompts based on each agent's specific improvement areas.

Best Fit: Who Should Use Observe.AI?

• Mid-market contact centers focused on modernizing QA and coaching processes
• Teams seeking to automate QA processes while maintaining human oversight capabilities

Considerations: What to Keep in Mind Before Choosing Observe.AI

• Limited to QA and coaching - no unified performance management or predictive analytics
• Reporting capabilities limited compared to enterprise analytics platforms

Final Verdict: Is Observe.AI the Right Call Center Speech Analytics Software for You?

Observe.AI works for contact centers prioritizing automated quality assurance and AI-driven coaching over comprehensive analytics. Observe.AI excels at evaluating 100% of interactions and providing real-time agent guidance but requires additional platform integrations to fully leverage speech analytics for performance management and customer journey analytics.

What makes Genesys one of the best call center speech analytics software of 2025?

Genesys call center speech analytics software delivers AI-powered conversation intelligence within the Genesys Cloud platform, analyzing 100% of voice and digital interactions for sentiment, empathy, and topic detection. Genesys provides native integration between speech analytics and workforce engagement management (WEM) features including quality assurance, coaching, and performance management.

Standout Features & Unique Capabilities of Genesys

• AI-Powered Agent Empathy Analysis: Empathy detection that analyzes both sides of conversations to measure agent emotional intelligence, with over 700 million empathy displays detected annually across customer interactions.
• Topic and Intent Mining: Automated discovery tools that analyze historical transcripts to extract customer intents and emerging topics without predefined categories.
• Native WEM Integration: Seamless connection between speech analytics and quality management, allowing AI to pre-fill evaluation forms and automatically trigger coaching sessions based on interaction insights.

Best Fit: Who Should Use Genesys?

• Enterprise organizations seeking an all-in-one cloud contact center platform with integrated analytics
• Companies prioritizing omnichannel consistency across voice, chat, email, and social interactions
• Organizations already using Genesys Cloud wanting to add speech analytics without third-party integrations

Considerations: What to Keep in Mind Before Choosing Genesys

• Closed ecosystem, speech analytics only works within Genesys Cloud, relies on integration partners with external coaching and performance maangement systems
• Higher total cost of ownership for organizations not already on Genesys Cloud platform

Final Verdict: Is Genesys the Right Call Center Speech Analytics Software for You?

Genesys works best for enterprises committed to the full Genesys Cloud ecosystem seeking comprehensive post-call analytics with strong AI capabilities. Genesys excels at analyzing 100% of interactions across all channels and automating quality management workflows but requires organizations to adopt the entire platform.

What makes Cresta one of the best call center speech analytics software of 2025

Cresta call center speech analytics software delivers real-time AI guidance during live customer conversations, analyzing 100% of interactions to surface behavioral insights and coaching recommendations. Cresta's AI Analyst enables natural language queries of conversation data while providing real-time agent assistance across voice, chat, and email channels. Cresta excels at in-the-moment agent guidance and behavioral discovery operating as a standalone platform.

Standout Features & Unique Capabilities of Cresta

• Real-Time Agent Guidance: Provides live prompts and suggested responses during active calls, differentiating from post-call analytics by intervening in the moment rather than after the fact.
• AI Analyst Natural Language Queries: Allows users to ask questions about conversation data using natural language instead of building reports or filters, returning answers with linked evidence.
• Behavior-to-Outcome Correlation: Analyzes which agent behaviors correlate with specific outcomes like sales or resolution, though correlation doesn't establish causation.

Best Fit: Who Should Use Cresta?

• Contact centers focused on real-time agent intervention rather than post-call coaching
• Sales-focused organizations that believe scripted prompts during calls improve outcomes

Considerations: What to Keep in Mind Before Choosing Cresta?

• Limited data connections restrict AI capabilities, without unified data from multiple systems, AI can only work with speech analytics data alone
• Agent-level improvements without systematic performance management across teams
• Requires additional platforms to connect conversation insights to business outcomes and coaching workflows

Final Verdict: Is Cresta the Right Call Center Speech Analytics Software for You?

Cresta works best for contact centers seeking immediate agent performance gains through real-time guidance and rapid conversation insights via natural language queries. Cresta delivers strong value for sales optimization and agent coaching within calls but lacks the unified data integration and predictive capabilities for enterprise-wide performance transformation.

What makes Convin one of the best call center speech analytics software of 2025?

Convin call center speech analytics software automates quality assurance across 100% of customer interactions using AI-powered conversation intelligence to analyze voice, chat, and email channels. Convin's platform performs automated call auditing, generates coaching recommendations, and provides real-time agent assistance while tracking compliance and sentiment patterns. Convin focuses on automating QA processes and agent development as a standalone conversation intelligence platform.

Standout Features & Unique Capabilities of Convin

• Automated Peer-to-Peer Coaching: Creates personalized training plans based on AI analysis of agent performance, automatically identifying skill gaps and generating targeted coaching sessions without manual intervention.‍

• Real-Time Agent Assist: Provides live monitoring with supervisor alerts, violation detection, and contextual guidance during calls to help agents handle complex queries and maintain compliance.

Best Fit: Who Should Use Convin?

• Mid-size contact centers seeking to scale from manual to automated quality assurance
• Companies focused on reducing manual QA workload while maintaining comprehensive interaction coverage

Considerations: What to Keep in Mind Before Choosing Convin?

• Speech analytics insights remain siloed from other critical data sources, limiting AI's ability to see the complete picture
• Without unified data integration across QA, performance, workforce, and operational systems, insights cannot drive systematic organizational change

Final Verdict: Is Convin the Right Call Center Speech Analytics Software for You?

Convin works best for contact centers seeking to automate quality assurance and coaching processes through AI-powered conversation analysis. Convin delivers value for organizations wanting comprehensive interaction coverage and automated agent development but functions as a point solution rather than an end-to-end fully integrated performance platform.

What makes LevelAI one of the best call center speech analytics software of 2025?

LevelAI call center speech analytics software uses semantic intelligence and natural language understanding to automate quality assurance and analyze customer conversations. LevelAI's platform monitors interactions across voice, chat, and email channels to generate QA scores, identify coaching opportunities, and track agent behaviors. LevelAI focuses on automated conversation analysis and real-time agent assistance as a standalone conversation intelligence platform.

Standout Features & Unique Capabilities of LevelAI

• Semantic Intelligence Engine: Uses natural language understanding to analyze conversation context and intent for sentiment detection and topic categorization rather than relying on keyword matching.‍
• Real-Time Agent Assistance: Displays contextual information and knowledge base articles during live calls based on conversation content to assist agents with customer inquiries.

Best Fit: Who Should Use LevelAI?

• Mid-market contact centers seeking to scale quality assurance beyond manual sampling
• Organizations prioritizing AI-driven automation over human-led coaching approaches

Considerations: What to Keep in Mind Before Choosing LevelAI?

• Conversation analytics remain isolated from broader performance management and workforce optimization systems
• Heavy emphasis on AI automation may not align with organizations preferring human-centric coaching methodologies
• Lacks the AI-Ready layer of unified data to drive actions from analytics

Final Verdict: Is LevelAI the Right Call Center Speech Analytics Software for You?

LevelAI works best for contact centers seeking to automate quality assurance and provide real-time agent support. LevelAI delivers strong value for organizations prioritizing comprehensive interaction coverage but operates within its own ecosystem rather than unifying speech analytics data across the enterprise.

Explore More Call Center Software Solutions

If you're looking for more than call center speech analytics software, we've curated expert-reviewed guides on the best call center software platforms across QA, quality management, performance management, coaching, and gamification and engagement.

👉 Read our guide to the Best Call Center Performance Management Software Platforms, (AmplifAI leads in AI-powered outcomes).

👉 See the Best Call Center Quality Assurance Software Platforms of 2025.

👉 Discover the Best Call Center Coaching Software for scaling personalized development, (AmplifAI ranks #1 for unified coaching and QA workflows).

👉 Explore the Top Call Center Gamification Software Platforms that boost engagement (AmplifAI drives real-time recognition and engagement).