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26 Listings in Conversational Intelligence Available
What is Salesloft Conversations? Salesloft Conversations is a sales call insights AI agent offering Salesloft call recording and AI conversation insights inside the sales engagement workflow. Founded in 2011 and based in Atlanta, Georgia, USA, Salesloft Conversations helps sales teams using Salesloft automate sales call insights work and get results faster. Key capabilities of Salesloft Conversations Call recording AI summaries Coaching Cadence integration CRM auto-fill Searchable call library How Salesloft Conversations works Salesloft Conversations takes audio and video as input and produces text and insights. It combines large language models with task-specific AI, with the vendor managing prompts, models and updates. It connects to tools such as Zoom, Google Meet, Microsoft Teams and Salesforce, so the agent works inside existing workflows. Who uses Salesloft Conversations? Salesloft Conversations is built for sales teams using Salesloft. It suits teams that want call recording and AI summaries without adding headcount, while keeping people in control of review and final decisions. Salesloft Conversations vs Outreach Salesloft Conversations is often compared with Outreach. Salesloft Conversations stands out for call recording and coaching. The right choice depends on your workflow, integrations and budget, so compare both on a real task.
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What is Chorus? Chorus is a conversation intelligence AI agent offering ZoomInfo conversation intelligence that records and analyzes sales calls for coaching and deal insight. Founded in 2015 and based in San Francisco, California, USA, Chorus helps sales teams using ZoomInfo automate conversation intelligence work and get results faster. Key capabilities of Chorus Call recording and transcription Deal insights Coaching scorecards ZoomInfo data integration CRM auto-fill Searchable call library How Chorus works Chorus takes audio and video as input and produces text and insights. It combines large language models with task-specific AI, with the vendor managing prompts, models and updates. It connects to tools such as Zoom, Google Meet, Microsoft Teams and Salesforce, so the agent works inside existing workflows. Who uses Chorus? Chorus is built for sales teams using ZoomInfo. It suits teams that want call recording and transcription and deal insights without adding headcount, while keeping people in control of review and final decisions. Chorus vs Gong Chorus is often compared with Gong. Chorus stands out for call recording and transcription and coaching scorecards. The right choice depends on your workflow, integrations and budget, so compare both on a real task.
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Explore how leading Conversational Intelligence solutions compare based on customer satisfaction, market presence, adoption, and buyer feedback. The Market Grid helps you identify category leaders, high-performing solutions, and emerging products within the Conversational Intelligence ecosystem.
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Salesloft Conversations
#1 in Conversational Intelligence
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Fireflies.ai
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What is RingCentral RingSense? RingCentral RingSense is a conversation intelligence AI agent offering RingCentral AI that records, summarizes and scores calls and meetings for sales and support. Founded in 2023 and based in Belmont, California, USA, RingCentral RingSense helps teams on RingCentral automate conversation intelligence work and get results faster. Key capabilities of RingCentral RingSense Call summaries Conversation scoring Coaching insights AI receptionist Real-time agent assist Quality management How RingCentral RingSense works RingCentral RingSense takes audio and video as input and produces text and insights. It combines large language models with task-specific AI, with the vendor managing prompts, models and updates. It connects to tools such as Salesforce, Zendesk, ServiceNow and Microsoft Teams, so the agent works inside existing workflows. Who uses RingCentral RingSense? RingCentral RingSense is built for teams on RingCentral. It suits teams that want call summaries and conversation scoring without adding headcount, while keeping people in control of review and final decisions. RingCentral RingSense vs Gong RingCentral RingSense is often compared with Gong. RingCentral RingSense stands out for call summaries and coaching insights. The right choice depends on your workflow, integrations and budget, so compare both on a real task.
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What is Avoma? Avoma is a meeting and revenue intelligence AI agent offering an AI meeting assistant with note-taking, conversation intelligence and revenue intelligence. Founded in 2017 and based in Palo Alto, California, USA, Avoma helps sales, CS and revenue teams automate meeting and revenue intelligence work and get results faster. Key capabilities of Avoma AI meeting notes Conversation insights Deal and forecast intelligence Scheduling and routing CRM auto-fill Searchable call library How Avoma works Avoma takes audio and video as input and produces text, insights and CRM data. It combines large language models with task-specific AI, with the vendor managing prompts, models and updates. It connects to tools such as Zoom, Google Meet, Microsoft Teams and Salesforce, so the agent works inside existing workflows. Who uses Avoma? Avoma is built for sales, CS and revenue teams. It suits teams that want AI meeting notes and conversation insights without adding headcount, while keeping people in control of review and final decisions. Avoma vs Gong Avoma is often compared with Gong. Avoma stands out for AI meeting notes and deal and forecast intelligence. The right choice depends on your workflow, integrations and budget, so compare both on a real task.
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What is Maqsam? Maqsam is an Arabic contact center AI AI agent offering a cloud contact center with Arabic-first AI for call analytics, agents and quality monitoring. Founded in 2016 and based in Amman, Jordan, Maqsam helps businesses in the Middle East automate Arabic contact center AI work and get results faster. Key capabilities of Maqsam Cloud contact center Arabic speech analytics AI quality monitoring Voice agents Local language support Live agent handoff How Maqsam works Maqsam takes audio as input and produces insights and audio. It combines large language models with task-specific AI, with the vendor managing prompts, models and updates. It connects to tools such as WhatsApp, Instagram, Facebook Messenger and Salesforce, so the agent works inside existing workflows. Who uses Maqsam? Maqsam is built for businesses in the Middle East. It suits teams that want cloud contact center and Arabic speech analytics without adding headcount, while keeping people in control of review and final decisions. Maqsam vs Intella Maqsam is often compared with Intella. Maqsam stands out for cloud contact center and AI quality monitoring. The right choice depends on your workflow, integrations and budget, so compare both on a real task.
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What is CallMiner? CallMiner is a speech analytics AI agent offering conversation analytics that analyzes customer interactions across channels to improve CX and compliance. Founded in 2002 and based in Waltham, Massachusetts, USA, CallMiner helps enterprise contact centers automate speech analytics work and get results faster. Key capabilities of CallMiner Omnichannel speech analytics Automated QA scoring Compliance monitoring Real-time agent assist Automated call scoring Sentiment analysis How CallMiner works CallMiner takes audio and text as input and produces insights and scores. It combines large language models with task-specific AI, with the vendor managing prompts, models and updates. It connects to tools such as Salesforce, HubSpot, Zoom and Genesys, so the agent works inside existing workflows. Who uses CallMiner? CallMiner is built for enterprise contact centers. It suits teams that want omnichannel speech analytics and automated QA scoring without adding headcount, while keeping people in control of review and final decisions. CallMiner vs NICE CallMiner is often compared with NICE. CallMiner stands out for omnichannel speech analytics and compliance monitoring. The right choice depends on your workflow, integrations and budget, so compare both on a real task.
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What is Marchex? Marchex is a conversational analytics AI agent offering AI conversational analytics that analyzes calls and texts to improve marketing and sales outcomes. Founded in 2003 and based in Seattle, Washington, USA, Marchex helps automotive, home services and multi-location businesses automate conversational analytics work and get results faster. Key capabilities of Marchex Call and text analytics Lead scoring from conversations Agent performance Vertical AI solutions Automated call scoring Sentiment analysis How Marchex works Marchex takes audio and text as input and produces insights. It combines large language models with task-specific AI, with the vendor managing prompts, models and updates. It connects to tools such as Salesforce, HubSpot, Zoom and Genesys, so the agent works inside existing workflows. Who uses Marchex? Marchex is built for automotive, home services and multi-location businesses. It suits teams that want call and text analytics and lead scoring from conversations without adding headcount, while keeping people in control of review and final decisions. Marchex vs Invoca Marchex is often compared with Invoca. Marchex stands out for call and text analytics and agent performance. The right choice depends on your workflow, integrations and budget, so compare both on a real task.
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What is Invoca? Invoca is a call tracking and conversation intelligence AI agent offering an AI conversation intelligence platform that attributes phone calls to marketing and analyzes call outcomes. Founded in 2008 and based in Santa Barbara, California, USA, Invoca helps marketers in healthcare, automotive and home services automate call tracking and conversation intelligence work and get results faster. Key capabilities of Invoca Call attribution AI call outcome detection Ad platform integrations Agent coaching Automated call scoring Sentiment analysis How Invoca works Invoca takes audio and call data as input and produces insights and conversions. It combines large language models with task-specific AI, with the vendor managing prompts, models and updates. It connects to tools such as Salesforce, HubSpot, Zoom and Genesys, so the agent works inside existing workflows. Who uses Invoca? Invoca is built for marketers in healthcare, automotive and home services. It suits teams that want call attribution and AI call outcome detection without adding headcount, while keeping people in control of review and final decisions. Invoca vs CallRail Invoca is often compared with CallRail. Invoca stands out for call attribution and ad platform integrations. The right choice depends on your workflow, integrations and budget, so compare both on a real task.
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What is Cogito? Cogito is a real-time emotional intelligence AI agent offering real-time emotional intelligence AI that coaches contact center agents during live calls. Founded in 2007 and based in Boston, Massachusetts, USA, Cogito helps contact centers in insurance and healthcare automate real-time emotional intelligence work and get results faster. Key capabilities of Cogito Live behavioral cues Real-time agent coaching Customer experience scores Supervisor dashboards Automated call scoring Sentiment analysis How Cogito works Cogito takes audio as input and produces alerts and insights. It combines large language models with task-specific AI, with the vendor managing prompts, models and updates. It connects to tools such as Salesforce, HubSpot, Zoom and Genesys, so the agent works inside existing workflows. Who uses Cogito? Cogito is built for contact centers in insurance and healthcare. It suits teams that want live behavioral cues and real-time agent coaching without adding headcount, while keeping people in control of review and final decisions. Cogito vs Balto Cogito is often compared with Balto. Cogito stands out for live behavioral cues and customer experience scores. The right choice depends on your workflow, integrations and budget, so compare both on a real task.
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What is CallRail? CallRail is a call tracking and conversation intelligence AI agent offering call tracking, form tracking and conversation intelligence that attribute leads to marketing. Founded in 2011 and based in Atlanta, Georgia, USA, CallRail helps small businesses and marketing agencies automate call tracking and conversation intelligence work and get results faster. Key capabilities of CallRail Call tracking AI call summaries and scoring Marketing attribution Lead management Coaching scorecards CRM sync How CallRail works CallRail takes audio and call data as input and produces insights and conversions. It combines large language models with task-specific AI, with the vendor managing prompts, models and updates. It connects to tools such as Salesforce, HubSpot, Google Ads and Zapier, so the agent works inside existing workflows. Who uses CallRail? CallRail is built for small businesses and marketing agencies. It suits teams that want call tracking and AI call summaries and scoring without adding headcount, while keeping people in control of review and final decisions. CallRail vs Invoca CallRail is often compared with Invoca. CallRail stands out for call tracking and marketing attribution. The right choice depends on your workflow, integrations and budget, so compare both on a real task.
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What is Modjo? Modjo is a conversation intelligence AI agent offering an AI conversation intelligence platform that records, analyzes and coaches on sales and CS calls. Founded in 2019 and based in Paris, France, Modjo helps European sales teams automate conversation intelligence work and get results faster. Key capabilities of Modjo Call recording and transcription AI deal insights CRM auto-fill Coaching Automated call scoring Sentiment analysis How Modjo works Modjo takes audio and video as input and produces text, insights and CRM data. It combines large language models with task-specific AI, with the vendor managing prompts, models and updates. It connects to tools such as Salesforce, HubSpot, Zoom and Genesys, so the agent works inside existing workflows. Who uses Modjo? Modjo is built for European sales teams. It suits teams that want call recording and transcription and AI deal insights without adding headcount, while keeping people in control of review and final decisions. Modjo vs Gong Modjo is often compared with Gong. Modjo stands out for call recording and transcription and CRM auto-fill. The right choice depends on your workflow, integrations and budget, so compare both on a real task.
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What is Jiminny? Jiminny is a revenue intelligence AI agent offering a conversation and revenue intelligence platform with call recording, coaching and deal insights. Founded in 2016 and based in London, United Kingdom, Jiminny helps mid-market sales teams automate revenue intelligence work and get results faster. Key capabilities of Jiminny Call recording AI summaries and CRM notes Coaching workflows Deal insights CRM auto-fill Searchable call library How Jiminny works Jiminny takes audio and video as input and produces text and insights. It combines large language models with task-specific AI, with the vendor managing prompts, models and updates. It connects to tools such as Zoom, Google Meet, Microsoft Teams and Salesforce, so the agent works inside existing workflows. Who uses Jiminny? Jiminny is built for mid-market sales teams. It suits teams that want call recording and AI summaries and CRM notes without adding headcount, while keeping people in control of review and final decisions. Jiminny vs Gong Jiminny is often compared with Gong. Jiminny stands out for call recording and coaching workflows. The right choice depends on your workflow, integrations and budget, so compare both on a real task.
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Conversational intelligence platforms record, transcribe, and analyze sales and customer conversations, surfacing insights, coaching opportunities, and deal and CX signals from what's actually said. This guide explains what conversational intelligence is, how it works, what matters, and how to choose one.
Conversational intelligence platforms record, transcribe, and analyze sales and customer conversations, surfacing insights, coaching opportunities, and deal and CX signals from what's actually said. This guide explains what conversational intelligence is, how it works, what matters, and how to choose one.
Conversational intelligence (CI) uses speech-to-text and AI to capture and analyze calls and meetings, primarily sales calls and customer interactions, extracting topics, sentiment, talk patterns, action items, and risk and opportunity signals.
It is used to coach reps, improve win rates, surface customer and market insights, ensure compliance, and sync conversation data into the CRM.
The category overlaps with meeting assistants but emphasizes revenue and CX analytics over note-taking. Buyers weigh transcription accuracy, analytics depth and reliability, CRM integration, and consent and compliance.
CI records and transcribes calls and meetings, then analyzes the conversation for topics, sentiment, talk ratios, keywords, objections, and action items, surfacing insights, scorecards, and coaching moments and syncing to the CRM.
Platforms combine speech-to-text and diarization, NLP analytics, and CRM/dialer/conferencing integrations, plus coaching and reporting tools.
Teams configure tracking, scorecards, and consent settings; managers review insights and coach reps, while conversation data flows into CRM and analytics.
Capture and transcribe calls and meetings with speaker identification.
Analyze topics, sentiment, talk ratios, objections, and keywords across calls.
Surface coaching moments and score calls against your methodology.
Flag deal risk, competitor mentions, and next steps from conversations.
Sync recordings, notes, and signals into the CRM and revenue stack.
Recording consent, notifications, and compliance controls for regulated teams.
See what top reps do and coach the rest from real conversation data.
Insights into objections and what works help improve sales execution.
Aggregate conversations reveal needs, objections, and competitive trends.
Auto-synced conversation data keeps the CRM accurate without manual entry.
Call libraries and insights speed ramp for new reps.
| Type | Best for | Ideal size | Pros | Limitations |
|---|---|---|---|---|
| Sales conversation intelligence | Coaching, deal insight, CRM sync | SMB to enterprise | Revenue insight and coaching | Setup and consent |
| Contact-center CI / QA | Support quality and compliance | Mid-market to enterprise | QA and compliance at scale | Volume and integration heavy |
| Meeting-focused CI | Notes plus analytics | Any | Broad team use | Lighter revenue analytics |
| Embedded CI | CI inside CRM/dialer | Any | Unified workflow | Tied to one platform |
Technology: Technology revenue and CX teams use conversational intelligence to coach reps and agents, surface customer and deal insights, ensure compliance, and sync conversation data into the CRM.
Healthcare: Healthcare revenue and CX teams use conversational intelligence to coach reps and agents, surface customer and deal insights, ensure compliance, and sync conversation data into the CRM.
Financial Services: Financial Services revenue and CX teams use conversational intelligence to coach reps and agents, surface customer and deal insights, ensure compliance, and sync conversation data into the CRM.
Retail & E-commerce: Retail & E-commerce revenue and CX teams use conversational intelligence to coach reps and agents, surface customer and deal insights, ensure compliance, and sync conversation data into the CRM.
Education: Education revenue and CX teams use conversational intelligence to coach reps and agents, surface customer and deal insights, ensure compliance, and sync conversation data into the CRM.
Professional Services: Professional Services revenue and CX teams use conversational intelligence to coach reps and agents, surface customer and deal insights, ensure compliance, and sync conversation data into the CRM.
Manufacturing: Manufacturing revenue and CX teams use conversational intelligence to coach reps and agents, surface customer and deal insights, ensure compliance, and sync conversation data into the CRM.
Media: Media revenue and CX teams use conversational intelligence to coach reps and agents, surface customer and deal insights, ensure compliance, and sync conversation data into the CRM.
Test accuracy on your accents, jargon, and call types, it underpins all analytics.
Assess how actionable and reliable the insights, scorecards, and signals are.
Confirm sync with your CRM, dialer, and conferencing tools.
Verify recording consent, notifications, data residency, and compliance for your regions.
Check call libraries, scorecards, and coaching tools fit how managers work.
Understand per-seat pricing and confirm security and data handling.
CI is becoming real-time, surfacing guidance and answers to reps during live calls.
Generative summaries and automated CRM updates are reducing post-call admin.
Aggregate conversation analytics are feeding product, marketing, and strategy beyond sales.
Buyers should prioritize transcription accuracy, analytics reliability, CRM integration, and consent/compliance.
Conversational intelligence (CI) uses speech-to-text and AI to record, transcribe, and analyze sales and customer conversations, extracting topics, sentiment, talk patterns, objections, action items, and deal and CX signals. It's used to coach reps, improve win rates, surface customer and market insights, ensure compliance, and sync conversation data into the CRM.
They overlap, both record, transcribe, and summarize, but conversational intelligence emphasizes revenue and CX analytics: coaching, deal and risk signals, scorecards, and win-rate insight across many calls. Meeting assistants focus more on notes and action items for general meetings. Some tools do both; match the emphasis to your goal.
It can, by revealing what top performers do, surfacing objections and deal risks, and enabling data-driven coaching and onboarding. Impact depends on whether managers act on the insights. Look for analytics reliability and coaching workflows, and measure win-rate or ramp improvements against a baseline.
Recording laws vary by region and may require participant consent. Reputable CI tools provide consent and notification features, but you're responsible for complying with applicable laws and policy. Review consent handling, data residency, and retention before adopting, especially for regulated industries.
Yes, CRM integration is core to sales CI, syncing recordings, notes, and signals so conversation data enriches deals and pipeline without manual entry. Most tools also integrate with dialers and conferencing platforms. Confirm support for your specific CRM and stack before adopting.
Accuracy is high for clear audio in supported languages but varies with accents, jargon, crosstalk, and audio quality, and accuracy underpins all the analytics. Test on your real calls and terminology, and look for speaker identification and the ability to correct transcripts.
Reputable vendors offer encryption, access controls, retention settings, and compliance certifications, and enterprise plans often guarantee your data isn't used to train shared models. Given how sensitive sales and customer conversations are, review data governance carefully before adopting.
Prioritize transcription accuracy on your calls, analytics depth and reliability, CRM and stack integration, consent and compliance, coaching workflows, security, and pricing. Decide whether your emphasis is sales, contact-center QA, or general meetings, and trial on real calls before rolling out.
