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Average price: 26 products listed
26 Listings in Conversational Intelligence Available
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,
Price range
$10–$50/mo
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12 tools
New this quarter
15 added
What is Fireflies.ai? Fireflies.ai is an AI meeting assistant that records, transcribes and summarizes calls across Zoom, Google Meet, Microsoft Teams and 10+ other platforms. It adds a searchable call library, analytics and CRM and app integrations. Key capabilities of Fireflies.ai Meeting transcription: real-time transcription in 100+ languages AI summaries: automatic notes and action items Conversation analytics: meeting and conversation insights Searchable call library: search within meetings and across the workspace CRM auto-fill: updates CRM records Video recording: available on Pro and Business How Fireflies.ai works Fireflies joins calls on Zoom, Google Meet, Microsoft Teams and other platforms, records and transcribes them, then generates summaries and analytics. Transcripts become searchable across the workspace. According to third-party pricing guides, plans meter storage and AI credits rather than transcription minutes. Who uses Fireflies.ai? Sales, recruiting, customer success and operations teams use it. The vendor offers volume discounts for teams above 50 members and dedicated support on Enterprise. Fireflies.ai pricing The vendor page we read did not list prices. Third-party guides report Free at $0, Pro at $10 per user a month, Business $19 and Enterprise $39 billed annually, with monthly billing of about $18 for Pro and $29 for Business. Verify on the vendor site. Fireflies.ai alternatives Alternatives include tl;dv for meeting recording and clips, Jiminny for sales call coaching, Observe.AI for contact center analytics, Salesloft Conversations for revenue calls, and ExecVision for conversation intelligence.
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What is Tethr? Tethr is a customer effort analytics AI agent offering AI that analyzes customer conversations to measure effort, predict outcomes and improve CX. Founded in 2016 and based in Austin, Texas, USA, Tethr helps contact centers and CX leaders automate customer effort analytics work and get results faster. Key capabilities of Tethr Customer effort scoring Predictive outcomes Agent behavior insights CX dashboards Automated call scoring Sentiment analysis How Tethr works Tethr 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 Tethr? Tethr is built for contact centers and CX leaders. It suits teams that want customer effort scoring and predictive outcomes without adding headcount, while keeping people in control of review and final decisions. Tethr vs CallMiner Tethr is often compared with CallMiner. Tethr stands out for customer effort scoring and agent behavior insights. The right choice depends on your workflow, integrations and budget, so compare both on a real task.
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What is Intella? Intella is an Arabic speech analytics AI agent offering Arabic speech recognition and conversation analytics for contact centers. Founded in 2020 and based in Cairo, Egypt, Intella helps contact centers in MENA automate Arabic speech analytics work and get results faster. Key capabilities of Intella Arabic dialect speech-to-text Call analytics Agent quality scoring Voice AI APIs Local language support Live agent handoff How Intella works Intella takes audio as input and produces text and insights. It is powered by Intella (in-house models) models, 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 Intella? Intella is built for contact centers in MENA. It suits teams that want Arabic dialect speech-to-text and call analytics without adding headcount, while keeping people in control of review and final decisions. Intella vs Maqsam Intella is often compared with Maqsam. Intella stands out for Arabic dialect speech-to-text and agent quality scoring. The right choice depends on your workflow, integrations and budget, so compare both on a real task.
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What is CallRevu? CallRevu is a communication intelligence platform for automotive dealerships that unifies calls, leads and customer interactions in one system. Key capabilities of CallRevu Connect: Hosted phone system that captures inbound dealership calls. Convert: Lead management and automated response tools. Optimize: Analytics, conversation intelligence and marketing attribution. Develop: AI-powered coaching and employee training. OEM and system integrations: CRM, CDP and DMS connections. How CallRevu works Calls and customer interactions flow into a single platform, where conversation intelligence and analytics measure response times, conversion rates and team performance. Coaching and training tools use those insights to develop staff. The platform connects with dealership CRM, CDP and DMS systems. Who uses CallRevu? Automotive dealerships and dealer groups worldwide. The vendor lists partnerships with OEMs including GM, Honda, Acura, Volvo, Stellantis and Subaru, is headquartered in Towson, Maryland, and appointed Neil Moses as CEO in September 2026. CallRevu pricing CallRevu does not publish prices on its homepage. Dealerships contact the vendor for a quote. CallRevu alternatives Marchex, CallMiner and Invoca offer call analytics for broader industries, while CallRevu is specific to dealership phone, lead and coaching workflows.
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What is Siro? Siro is an in-person sales coaching AI agent offering an AI coaching platform that records and analyzes in-person sales conversations for field teams. Founded in 2021 and based in New York, New York, USA, Siro helps door-to-door and field sales teams automate in-person sales coaching work and get results faster. Key capabilities of Siro In-person conversation recording AI coaching insights Rep performance analytics CRM sync Coaching scorecards How Siro works Siro takes audio 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, Google Ads and Zapier, so the agent works inside existing workflows. Who uses Siro? Siro is built for door-to-door and field sales teams. It suits teams that want in-person conversation recording and AI coaching insights without adding headcount, while keeping people in control of review and final decisions. Siro vs Gong Siro is often compared with Gong. Siro stands out for in-person conversation recording and rep performance analytics. The right choice depends on your workflow, integrations and budget, so compare both on a real task.
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What is Wonderway Coach? Wonderway Coach is a sales call scoring AI agent offering an AI sales coach that scores calls and gives reps targeted feedback. Wonderway Coach helps SDR and AE teams automate sales call scoring work and get results faster. Key capabilities of Wonderway Coach Call scoring Skill-level feedback Coaching plans Team analytics CRM auto-fill Searchable call library How Wonderway Coach works Wonderway Coach takes audio as input and produces scores 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 Wonderway Coach? Wonderway Coach is built for SDR and AE teams. It suits teams that want call scoring and skill-level feedback without adding headcount, while keeping people in control of review and final decisions. Wonderway Coach vs Hyperbound Wonderway Coach is often compared with Hyperbound. Wonderway Coach stands out for call scoring and coaching plans. The right choice depends on your workflow, integrations and budget, so compare both on a real task.
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What is tl;dv? tl;dv is an AI meeting recorder for Zoom, Google Meet and Microsoft Teams that produces transcripts, notes, shareable clips and CRM sync. It has a free plan with unlimited recordings and transcription. Key capabilities of tl;dv Meeting recording: Zoom, Google Meet and Microsoft Teams Transcription: unlimited on the free plan AI notes: summaries and highlights Clips: shareable moments from calls CRM sync: sends notes to sales tools Meeting insights: advanced intelligence on paid plans How tl;dv works tl;dv joins your meeting as a recorder, transcribes the conversation and produces notes and timestamped highlights. You can cut clips to share a key moment and push summaries into a CRM. Paid plans unlock more AI notes and deeper intelligence features beyond the free tier. Who uses tl;dv? Sales, product, recruiting and customer success teams use it. Teams that want a recorder without a per-minute cap start on the free plan, while revenue teams add CRM sync and reports on paid tiers. tl;dv pricing The vendor pricing page did not load for us. Third-party sources list Free at $0, Pro at $18 per seat a month billed annually ($29 monthly), Business at $29 annually ($39 monthly) and custom Enterprise. Verify with the vendor. tl;dv alternatives Alternatives include Fireflies.ai for transcription and analytics, Fathom for free recording, Read AI for meeting analytics, Modjo for sales call intelligence, and ExecVision for coaching.
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What is Observe.AI? Observe.AI is a customer experience platform built around purpose-made AI agents that automate and improve contact center interactions across voice, chat and operations. It combines automation, live agent assistance and interaction analytics in one product. Key capabilities of Observe.AI Voice AI and Chat AI: autonomous agents that resolve customer requests end to end Companion Agent: real-time assistance for live agents during calls Insight Agent: evaluates interactions and generates coaching Performance Agent: coaching programs tied to measurable outcomes Customer authentication: agents verify callers before acting Action and Integration Fabric: reads and writes data in connected systems How Observe.AI works Agents authenticate the customer, adapt to the conversation in real time rather than following a rigid script, and execute transactions through the Action and Integration Fabric, which connects to CRMs, contact center platforms, knowledge bases and backend systems. The vendor highlights policy enforcement and audit trails for regulated use. Who uses Observe.AI? Contact center operators in banking, healthcare, insurance and hospitality use it. The vendor names DoorDash, SoFi, Verida, Asurion and Woodforest National Bank as customers, and cites SOC 2 and HIPAA capabilities for regulated industries. Observe.AI pricing Observe.AI does not publish pricing on its website. Deployments are scoped with the vendor, so request a quote based on agent seats and the products you need. Observe.AI alternatives Alternatives include Modjo for sales call analysis, Salesloft Conversations for revenue teams, tl;dv for meeting recording, ExecVision for call coaching, and Wonderway Coach for call scoring.
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What is ExecVision? ExecVision is a conversation intelligence platform that records and analyzes calls to drive behavior change and improve sales performance. The vendor site states the company was acquired by Mediafly. Key capabilities of ExecVision Conversation intelligence: records and analyzes calls for insights Smart alerts: notifies managers of coaching opportunities Performance dashboards: real-time metrics and tracking Coaching at scale: structured feedback from recorded calls Conversation libraries: searchable call recordings QA and compliance: reviews calls against standards How ExecVision works ExecVision captures recorded conversations and analyzes them for topics and behaviors. Smart alerts point managers to calls worth reviewing, and dashboards track performance over time. Teams organize calls into libraries so coaching examples can be shared and searched. Who uses ExecVision? Sales enablement, customer experience, QA and compliance teams use it. ExecVision lists customers including Madison Square Garden, Avalara, TransUnion, Intuit and QGenda, and one customer cites a 31% increase in closed-won opportunities. ExecVision pricing ExecVision does not publish pricing on its site. Contact the vendor sales team for a quote, since packaging after the Mediafly acquisition is not listed publicly. ExecVision alternatives Alternatives include Avoma for meeting notes and coaching, Clari Copilot for revenue conversations, Jiminny for sales coaching, Observe.AI for contact center analytics, and Salesloft Conversations for call recording.
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What is Clari Copilot? Clari Copilot is a conversation intelligence AI agent offering Clari conversation intelligence (formerly Wingman) with live call coaching and deal insights. Founded in 2018 and based in Sunnyvale, California, USA, Clari Copilot helps sales teams using Clari automate conversation intelligence work and get results faster. Key capabilities of Clari Copilot Live battlecards Call recording and summaries Deal risk insights Clari forecast integration CRM auto-fill Searchable call library How Clari Copilot works Clari Copilot 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 Clari Copilot? Clari Copilot is built for sales teams using Clari. It suits teams that want live battlecards and call recording and summaries without adding headcount, while keeping people in control of review and final decisions. Clari Copilot vs Gong Clari Copilot is often compared with Gong. Clari Copilot stands out for live battlecards and deal risk insights. The right choice depends on your workflow, integrations and budget, so compare both on a real task.
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What is Aircall AI? Aircall AI is the AI layer of Aircall, a customer communications platform. It combines a team-based phone system, AI assistance for live calls and autonomous AI voice agents that handle routine requests around the clock. Key capabilities of Aircall AI Cloud phone system: calls, SMS and messaging with a shared inbox AI Assist: real-time coaching, live transcription and sentiment analysis Automated follow-ups: reduces manual after-call work AI Voice Agents: autonomous agents for FAQs and scheduling Context handoff: transfers to human reps with full context 250+ integrations: Salesforce, HubSpot, Zendesk and Shopify How Aircall AI works Teams make and receive calls through Aircall with native CRM integrations. AI Assist transcribes calls live and coaches reps, and AI Voice Agents answer calls on their own, schedule appointments and transfer to a person with context. Aircall states SOC 2 Type II, GDPR and HIPAA compliance. Who uses Aircall AI? Aircall says 23,000+ companies use it. Support and sales teams use the phone system, and the voice agents suit teams that need 24/7 coverage. Aircall AI pricing Essentials is $30 per user per month annual ($40 monthly) and Professional is $50 ($67 monthly), both with 3-user minimums. AI Voice Agents are $0.49 per minute or in bundles. A free trial includes 100 agent minutes. Aircall AI alternatives Alternatives include RingCentral RingSense, Observe.AI for contact center conversation intelligence, and Jiminny for sales call analysis.
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What is Revenue.io? Revenue.io is a sales engagement and conversation AI AI agent offering a Salesforce-native platform for dialing, conversation AI and real-time guidance for sales reps. Founded in 2012 and based in Los Angeles, California, USA, Revenue.io helps Salesforce-based sales teams automate sales engagement and conversation AI work and get results faster. Key capabilities of Revenue.io Salesforce-native dialer Real-time call guidance Conversation AI Sales engagement Automated call scoring Sentiment analysis How Revenue.io works Revenue.io takes audio and CRM data as input and produces 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 Revenue.io? Revenue.io is built for Salesforce-based sales teams. It suits teams that want Salesforce-native dialer and real-time call guidance without adding headcount, while keeping people in control of review and final decisions. Revenue.io vs Gong Revenue.io is often compared with Gong. Revenue.io stands out for Salesforce-native dialer and conversation AI. 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.
Tech stacks
See where conversational intelligence fits in a complete stack, with the other software, AI agents and services each business needs.
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.