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26 Listings in Conversational Intelligence Available
What is Salesloft Conversations? Salesloft Conversations is the conversation intelligence product in the Salesloft revenue platform. It records sales calls and surfaces buyer and seller insights, alongside Cadence for engagement and Deals for opportunity management. Key capabilities of Salesloft Conversations Call recording: Capture buyer and seller conversations. Conversation insights: Buyer and seller insights from call content. Sales engagement link: Works with Cadence for pipeline building. Deal context: Connects with Deals for opportunity management. Forecast connection: Sits alongside Clari Forecast. How Salesloft Conversations works Calls are captured and analyzed so reps and managers can review what buyers said. Insights sit next to Cadence, Deals, Inspect and Clari Forecast inside the Salesloft platform. The vendor's login page lists Conversations via Clari's copilot platform, so access follows the Clari integration. Who uses Salesloft Conversations? Revenue teams that already use Salesloft for sales engagement and forecasting use Conversations to review calls. Managers use the insights to inspect pipeline. Salesloft Conversations pricing The vendor homepage does not publish pricing for Conversations, so cost is quote-based. Salesloft Conversations alternatives Invoca specializes in call tracking and analytics, Modjo provides conversation intelligence for sales teams, and tl;dv records and summarizes meetings. Salesloft Conversations is tied to the Salesloft engagement platform.
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Salesloft Conversations
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What is Chorus? Chorus is ZoomInfo's conversation intelligence platform that captures and analyzes customer calls, meetings and emails. It gives sales teams transcripts, deal visibility and coaching insight, and combines them with ZoomInfo B2B contact and company data. Key capabilities of Chorus Call and meeting analysis: automatic transcription and insights from customer interactions Sales coaching: identifies winning behaviors and shortens new-hire ramp time Methodology adherence: tracks whether reps follow the sales process Deal intelligence: shows account relationships and deal momentum CRM sync: automatically logs contacts and communications Churn-risk visibility: flags accounts at risk How Chorus works Chorus records customer calls and meetings, transcribes them, and applies machine learning (ZoomInfo cites 14 patents) to surface behaviors, topics and deal signals. Contacts and communications sync to the CRM automatically. Managers review insights and coach reps, while ZoomInfo data adds company context to each relationship. Who uses Chorus? Sales leaders, enablement teams and revenue operations at B2B companies use it to coach reps, shorten ramp time and monitor deal risk. ZoomInfo cites G2 awards including Easiest Admin SMB and Best Results Mid-Market. Chorus pricing ZoomInfo does not publish Chorus prices. Third-party estimates put it around $1,000 to $1,800 per seat a year on annual contracts with seat minimums; these are not vendor prices. A free trial and demo are available through the website. Chorus alternatives Alternatives include Fireflies.ai for general meeting transcription, Avoma for meeting notes and coaching, Clari Copilot for revenue conversations, Jiminny for sales coaching, and Observe.AI for contact center analytics.
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What is RingCentral RingSense? RingCentral RingSense is the conversation intelligence layer of RingCentral's AI offering. It transcribes and analyzes calls and meetings for sales and support teams and surfaces summaries and coaching insights. Key capabilities of RingCentral RingSense Call transcription: Transcribes recorded calls and meetings Summaries: Produces call and meeting summaries Sales coaching: Analyzes sales calls and provides coaching insights Conversation scoring: Scores conversations for sales and support quality Support insights: Applies analysis to customer service calls How RingCentral RingSense works RingSense works on conversations captured by RingCentral's communications platform. It transcribes the audio, then analyzes it to summarize the discussion and highlight coaching moments for managers and reps. Who uses RingCentral RingSense? Sales and support teams already running voice or video on RingCentral, and the managers who coach them. RingCentral RingSense pricing RingCentral does not list a fixed RingSense price on the pages reviewed, and pricing is handled through RingCentral sales and plan packaging. RingCentral RingSense alternatives Alternatives include Gong for revenue conversation intelligence, Jiminny for sales call coaching, and Observe.AI for contact center analytics.
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What is Avoma? Avoma is an AI meeting assistant that records and transcribes meetings, writes notes and offers conversation intelligence and revenue intelligence as add-ons. Only users who record need paid seats, since viewers and collaborators are free. Key capabilities of Avoma AI meeting assistant: Records and transcribes meetings with notes. Unlimited transcription: Included on every plan. Scheduling: 1:1 scheduling on all plans and group scheduling on Organization. Conversation Intelligence: AI coaching, call scoring and custom scorecards (add-on). Revenue Intelligence: Deal risk alerts, pipeline forecasting and win-loss analysis (add-on). How Avoma works Avoma joins meetings on Zoom, Google Meet or Microsoft Teams, produces a transcript and notes from templates and smart topics, and syncs outputs to the CRM. Teams add conversation or revenue intelligence modules to score calls and flag deal risk. Who uses Avoma? Sales, customer success and revenue teams use Avoma. Startups use the lowest tier, and enterprises add SSO and HIPAA compliance. Avoma pricing Annual billing: Startup $19, Organization $24 and Enterprise $39 per recorder seat per month. Monthly billing is $29, $39 and $39. Conversation Intelligence and Revenue Intelligence add-ons are $29 per seat annually, and Lead Router is $19. Avoma alternatives Otter.ai focuses on transcription and notes, Gong is a revenue intelligence suite, and Fireflies.ai records and summarizes meetings. Avoma is distinguished by combining notes with modular revenue intelligence.
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What is Maqsam? Maqsam is an Arabic-first customer service platform that combines cloud call center infrastructure with AI automation. It serves businesses in the Middle East and North Africa and automates support and sales conversations while keeping human oversight. Key capabilities of Maqsam Arabic AI agent: listens, understands and responds to callers Dialect handling: multiple Arabic dialects and mixed-language queries Speech recognition: 99.1% Arabic accuracy claimed by the vendor Smart escalation: hands conversations to human agents Performance dashboards: real-time metrics and sentiment analysis IVR routing: customizable call routing Local numbers: phone numbers in hundreds of cities How Maqsam works Customers call or chat, and the AI agent transcribes Arabic speech, understands the request and responds, escalating to a human agent when needed. Supervisors monitor dashboards and sentiment. Teams can bring their own bot (BYOB), connect their own SIP or PRI carrier (BYOC) or map existing toll-free numbers. Who uses Maqsam? Maqsam serves retail, logistics, education, banking, real estate, healthcare, hospitality and government organizations, primarily in MENA, that need Arabic-native support. Maqsam pricing Pricing is usage-based with no setup fees and a prepaid balance. The 7-day free trial needs no credit card and includes 60 minutes. Agent seats, outbound minutes, phone numbers and WhatsApp messages are billed by use. Maqsam alternatives Alternatives include Genesys Cloud and Talkdesk for global contact centers, Aircall for cloud phone, and Zendesk for support ticketing with voice.
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What is CallMiner? CallMiner is a conversation intelligence and CX automation platform for contact centers. Its Eureka platform captures calls, emails, texts, surveys and screen recordings, analyzes 100% of interactions with AI, coaches agents and automates self-service. Key capabilities of CallMiner Capture: Record, Screen Record and Redact Analyze: Analyze and Visualize intelligence from all interactions Augment: Coach and RealTime guidance for agents Automate: Outreach and OmniAgent virtual agent Quality and compliance: quality management, compliance and fraud detection Experience analytics: customer, product and brand experience insights How CallMiner works Eureka ingests omnichannel interactions, redacts sensitive data, applies AI analysis to every conversation, and feeds results to dashboards, agent coaching and real-time guidance. The OmniAgent virtual agent automates voice and chat self-service. Who uses CallMiner? Contact centers in healthcare, banking, retail, insurance, energy, collections and BPO. Named clients include Sirius XM, Dell, Santander, British Gas and AbbVie. CallMiner pricing CallMiner does not publish pricing and sells through the vendor. CallMiner alternatives Cogito and Tethr analyze conversations, Revenue.io and Clari Copilot target sales teams, and Avoma is a meeting assistant. CallMiner is centered on contact center operations.
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What is Marchex? Marchex is a conversation intelligence platform that uses proprietary AI to analyze customer phone calls, text messages and chat conversations. It turns those conversations into insights for marketing, sales and customer experience teams. The vendor serves automotive, home services, healthcare, real estate and advertising companies, and lists Ford and Healthgrades among its customers. Key capabilities of Marchex Conversation Intelligence: analyzes calls and agent performance with sentiment analysis Missed opportunity alerts: flags sales conversations that did not convert so teams can follow up CSAT scoring: scores customer satisfaction directly from conversations Call tracking and attribution: links calls and leads back to specific marketing campaigns Business text messaging: runs SMS campaigns for customer engagement at scale Bring Your Own Conversations: analyzes conversation data from outside sources via API or integrations How Marchex works Marchex captures calls and messages from tracked numbers and connected sources, then runs its AI models over the conversations. Output includes real-time performance insights, recommendations and automated alerts. Data can be pushed to CRM platforms, ad networks and customer data platforms, and the API and webhooks accept outside conversation data. Who uses Marchex? Marketing, sales and customer experience teams at dealerships, home service companies, healthcare providers and agencies use Marchex. Testimonials on the site come from McCluskey Chevrolet, Abell Pest Control and PDS Health. Marchex pricing Marchex does not publish prices on its homepage. Contact the vendor for a quote based on call volume and modules. Marchex alternatives Marchex is compared with CallMiner, Invoca and Tethr. CallMiner targets contact center analytics, Invoca centers on call tracking for marketers, and Tethr focuses on customer effort analytics.
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What is Invoca? Invoca is a data and AI platform that helps marketing, sales and contact center teams convert inbound leads into revenue by connecting online and offline customer touchpoints. It combines call tracking and attribution with conversation intelligence and AI agents. Key capabilities of Invoca Nico: AI revenue conversion agent that engages and qualifies leads over SMS and voice around the clock and books appointments AI Voice Agent: answers, qualifies and routes callers AI Messaging Agent: converts web and phone leads through SMS Call tracking and attribution: ties campaigns to revenue outcomes Context Engine: real-time buyer context for agents and teams Conversation intelligence: quality management, dashboards, reports and smart alerts How Invoca works Invoca tracks calls and interactions across channels and attributes them to campaigns. AI agents then answer or follow up with leads by voice or SMS, qualify them, and route or book them, while the Context Engine passes buyer context to human agents. Dashboards and alerts report performance per location. Who uses Invoca? Marketers and contact center and multi-location sales teams. Integrations include more than 200 apps through the Invoca Exchange. Invoca pricing Invoca does not publish prices. The vendor directs visitors to book a demo or pricing consultation. Invoca alternatives Marchex and Tethr also analyze calls, Modjo and Gong focus on sales conversation intelligence, and Chorus is a call recording tool. Invoca is distinct in tying calls to marketing attribution.
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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 platform that attributes calls, texts and form submissions to marketing sources. Higher plans add AI call summaries and sentiment analysis. A Voice Assist add-on provides an AI voice assistant, and HIPAA-compliant healthcare options are available. Key capabilities of CallRail Call and text tracking: tracks and attributes calls and texts Call recording and routing: records and directs inbound calls Transcription and analysis: transcribes calls for review Conversation intelligence: summaries and sentiment analysis on Lead Conversion plans Form tracking: attribution for form submissions on Complete plans Voice Assist: AI voice assistant add-on How CallRail works Customers use tracking numbers on campaigns and websites. CallRail records and transcribes calls, matches them to source data, and on higher plans generates AI summaries and sentiment so teams see which leads converted. Automation rules route and tag calls, and managers review the transcripts. Who uses CallRail? Marketing agencies and small and midsize businesses use CallRail to prove which campaigns drive calls, and healthcare organizations use its HIPAA-compliant options. CallRail pricing Lead Tracking is $50 per month, Lead Tracking Complete is $95, Lead Conversion is $150 and Lead Conversion Complete is $195, with yearly plans saving up to 10%. Usage fees apply beyond included allowances. Voice Assist starts at $95 per month. A 14-day free trial needs no credit card. CallRail alternatives CallRail is compared with Fireflies.ai, Avoma, Jiminny, Siro and Clari Copilot. Most of those analyze sales meetings, whereas CallRail focuses on inbound call attribution.
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What is Modjo? Modjo is an AI revenue intelligence platform that captures business conversations, transcribes calls, updates CRM records automatically and surfaces signals across the sales cycle. The vendor says more than 600 B2B revenue teams use it. Key capabilities of Modjo Call transcription: supports 100+ languages CRM auto-update: summarizes calls and fills CRM fields AI sales agents: ready-made or customizable agents for coaching and deal management Ask Modjo AI: instant answers about deals, prospects and conversations Signal detection: flags expansion opportunities, churn risks and competitor mentions Modjo MCP: brings revenue intelligence into other AI tools How Modjo works Modjo connects to phone and video tools, email and calendars to capture conversations, then transcribes and analyzes them. It writes summaries and field updates to Salesforce or HubSpot, and a Chrome extension exposes data inside the CRM. An open API and MCP server let other tools query it. Who uses Modjo? B2B sales, customer success and revenue operations teams, especially European ones. The vendor names Qonto, Spendesk, Doctolib and Pennylane among customers. Modjo pricing Pricing is based on recording licenses for users whose calls are recorded and analyzed. Listener licenses for managers and leaders are unlimited and included at no extra cost, and all subscriptions get full feature access. The vendor does not publish a price per seat. Modjo alternatives Gong is the best known conversation intelligence platform, Revenue.io adds real-time guidance, Invoca focuses on call tracking, and Marchex analyzes calls for marketers.
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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.