Hear
AI contact center intelligence capturing 100% of conversations for compliance, QA, and coaching.
Hear is a solid choice for compliance-heavy contact centers needing 100% interaction coverage and automated QA. The 'Ask anything' query interface and recent chat-based automations cut manual work dramatically. However, there's no transparent pricing, so budget-conscious smaller teams may struggle to justify the investment. If you need enterprise-grade monitoring with real-time alerts and coaching across every channel, Hear delivers—if you're sales-only, stick with Gong.
Verified 4d ago · liveness 77/100 · cite: rightaichoice.com/tools/hear
- Contact centers needing 100% compliance monitoring on every interaction
- CX leaders wanting proactive insights beyond passive dashboards
- Operations managers automating QA to cut manual audits (94% reduction)
- Enterprises with high call volumes and strict risk requirements
- Small businesses with low call volumes and tight budgets
- Teams preferring granular customizable dashboards over chat
- Sales-only teams needing Gong-style deal-level analytics
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Skip Hear if you're a sales-only team needing deal-level analytics, or a small business with low call volumes and tight budgets where enterprise pricing and a voice-centric focus may not fit.
Pricing is not public—contact sales only, so you won't know costs until you talk to a rep, and there may be minimum commitments.
Hear's pricing is contact-based, targeting mid-to-large contact centers with compliance needs. Compared to Gong's public per-seat pricing, Hear may be costlier for smaller teams. It offers more value for high-volume, regulated environments.
In short
Hear — AI contact center intelligence capturing 100% of conversations for compliance, QA, and coaching. Best for Contact centers needing 100% compliance monitoring on every interaction, CX leaders wanting proactive insights beyond passive dashboards, Operations managers automating QA to cut manual audits (94% reduction). Contact Sales pricing.
What's new in Hear
Checked 4 days agoAcross the latest 5 updates: 5 feature updates.
Automate recurring agent tasks through chat
Hear v2.49.0 lets you schedule and manage recurring agent tasks via dashboard chat, and merges calls with the same offer ID.
Automate routine contact center tasks through chat
A blog post details Hear's new chat-based automation for recurring contact center tasks, aligning with v2.49.0.
Webhook integration page for external tools
v2.48.0 adds a dedicated webhook integration page and lets users provide text feedback on alerts to improve accuracy.
Improve alert accuracy with detailed feedback
Hear v2.48.0 lets users classify alerts as confirmed or modified, and gives text feedback to refine future alerts.
Download and share call recordings
v2.47.0 adds download and shareable links for call recordings, plus faster call processing.
What people actually say about Hear — is it worth it?
We ran a structured research pass across product reviews, community discussions, and post-purchase forum threads to surface the patterns vendors won't publish themselves. Below: the recurring strengths, the hidden costs people mention most, and the cohort that consistently regrets adopting this tool.
110 mentions across 8 sources (Hacker News, YouTube, Product Hunt, App Store, Stack Overflow, GitHub, Lemmy, Tech Press) · researched Aug 14, 2026.
- +Captures 100% of calls, chats, and tickets for complete interaction visibility.
- +Automated compliance monitoring with real-time alerts reduces manual audit work.
- +AI-driven performance reviews and coaching help scale QA across large teams.
- +Natural-language 'Ask anything' interface eliminates complex dashboard configurations.
- +Integrates with major platforms like Salesforce, Zendesk, Twilio, and Genesys.
- −Almost no community discussion or reviews exist for this actual product.
- −Name collision with earplug and chat apps makes finding real feedback hard.
- −No independent validation of claimed AI accuracy or reliability.
- −Pricing is contact-only, so cost transparency is low for buyers.
- −App Store reviews for similarly named app show billing issues.
- • No public pricing information; likely enterprise-level contracts.
- • Potential onboarding or implementation fees not disclosed.
Viability Score
How well maintained and how widely used is Hear? Built from what the vendor actually publishes (docs, changelog, tutorials, integrations, pricing), whether the site is live, and how much real users discuss it. How we calculate this
Last calculated: September 2026
How we score →Key Features
- 100% conversation capture across calls, chats, and tickets
- Real-time AI agent monitoring with quality drop alerts
- Automated compliance monitoring with real-time alerts
- AI-driven performance reviews and personalized coaching
- Natural-language 'Ask anything' query interface
- Chat-based scheduling and management of recurring tasks (v2.49.0)
- Merge calls by offer ID (v2.49.0)
- Webhook integration page for external tools (v2.48.0)
- Alert feedback—confirm or modify alerts to improve accuracy
- Download and share call recordings via links (v2.47.0)
- Faster call processing (v2.47.0)
- Flow views to visualize conversation trends
- Bulk assign workflows to customers from Customers tab
- Platform MCP integration for AI assistant access to data
- Azure AD SCIM directory sync
About Hear
Hear is an AI contact center intelligence platform that captures 100% of calls, chats, and tickets, giving CX leaders, compliance managers, and operations heads complete visibility without manual audits. Built for teams that need proactive, autonomous insights—not just dashboards—Hear transforms every interaction into a living source of truth. In regulated industries where missing a single conversation isn't an option, Hear automatically monitors agent quality in real time, flags compliance risks across all channels, and delivers personalized coaching agents can act on immediately. The platform's natural-language 'Ask anything' interface lets you query your data conversationally, skipping complex dashboard configurations. Recent updates through v2.49.0 add practical workflow tools: scheduling and managing recurring agent tasks via dashboard chat, merging calls by offer ID, webhook integrations for external tools, and alert feedback to refine accuracy. You can now download and share call recordings via links, visualize conversation trends with flow views, and bulk-assign workflows to customers. A Platform MCP integration is open to all customers, enabling AI assistants to connect directly to Hear data, while Azure AD SCIM sync simplifies user management for enterprises. Hear integrates with tools your team already uses—Salesforce, Zendesk, Intercom, Twilio, Five9, Genesys, Slack, Microsoft Teams, Zoom, Google Cloud Contact Center AI, and Amazon Connect—so there are no new tabs or messy handoffs. Security and privacy are built in as the foundation, not bolted on, with role-based views for CX, compliance, ops, and sales, making it easy to scale QA and compliance across large teams. Compared to Gong or Chorus, which focus on sales call recording, Hear positions itself as a unified contact center OS that handles every customer conversation—not just sales calls. Customers report 100% call coverage, a 94% reduction in QA time, and 8x faster agent coaching. If you need enterprise-grade monitoring with real-time alerts and coaching across every channel, Hear delivers—if you're sales-only, stick with Gong.
Behind the Verdict
Hear's core value proposition is its autonomous, AI-native approach to contact center intelligence. Unlike traditional QA dashboards, Hear captures every interaction and automatically monitors for compliance risks, quality drops, and revenue signals in real time. The 'Ask anything' interface is a standout—you can query your conversation data in plain language and trigger actions directly, without navigating complex dashboards. Recent updates reinforce this proactive stance. v2.49.0 introduced chat-based scheduling of recurring agent tasks, so routine follow-ups happen automatically. v2.48.0 added a webhook integration page and richer alert feedback—you can confirm or modify alerts to improve future accuracy. v2.47.0 lets you download or share call recordings via links. These features show Hear is actively building workflow automation, not just passive analytics. The platform also supports a wide range of integrations (Salesforce, Zendesk, Intercom, Twilio, Five9, Genesys, Slack, Microsoft Teams, Zoom, Google Cloud CC AI, Amazon Connect), making it easy to fit into existing stacks. Security is emphasized with role-based views and Azure AD SCIM sync for enterprise user management. Weaknesses: pricing is opaque (contact sales only), which can be a barrier for smaller teams. The platform is voice-centric; text-only channels may not get full value. The third-party ecosystem is thinner than Gong's or CallRail's. Occasional bugs in the changelog—around data filtering, report accuracy, and PII redaction—could be a concern in compliance-critical environments, though the team is actively fixing them. Ultimately, Hear is best for compliance-driven contact centers with high call volumes. Sales-only teams would be better served by Gong's deal-level analytics. Small businesses with low budgets and simple needs will probably find more cost-effective options.
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Real-world workflow fit
Concrete scenarios for the personas Hear actually fits — and what changes day-one when you adopt it.
Wants to ensure 100% of calls are monitored for regulatory adherence without manual audits.
Outcome: Automated real-time alerts on compliance risks across all channels, reducing QA time by up to 94%.
Needs to quickly understand customer pain points and coach agents efficiently.
Outcome: Uses 'Ask anything' to get instant insights, plus personalized coaching recommendations, improving agent performance dramatically.
Wants to streamline workflow assignments and reduce operational costs.
Outcome: Bulk assigns workflows to customers, schedules recurring tasks via chat, and leverages webhooks to connect external tools, cutting manual work.
Use Cases
- Automating compliance monitoring for a financial services contact center
- Identifying upsell opportunities from customer service calls in a SaaS company
- Reducing churn by surfacing dissatisfaction signals in real-time
- Streamlining QA processes for a large healthcare provider
- Enabling CX leaders to ask ad-hoc questions about customer interactions without BI tools
- Managing workflows by assigning them to multiple customers in bulk
- Connecting AI assistants to Hear data for analysis
Limitations
- Hear is an AI contact center intelligence platform that captures 100% of conversations for compliance, QA, and coaching.
- The platform is primarily focused on voice intelligence, which may be less effective for text-only channels.
- It offers webhook integrations and MCP integration for external tools, but direct evidence of a public API is not provided.
- Recent changelog fixes indicate occasional bugs in data filtering, report accuracy, and transcription quality, which could be a concern for compliance-critical environments.
as of 2026-08-29
Verification history
We have re-verified Hear 20 times since . Each pass re-reads the vendor's own pages and re-checks every listed field against that evidence; passes where nothing had changed are marked as such.
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
Showing the 6 most recent of 20 verification passes.
Free to cite with attribution — this page re-verifies continuously.
Where the pricing makes sense
The company stage and team size where Hear's pricing actually pencils out — and where peers do it cheaper.
Hear's pricing is contact-based, targeting mid-to-large contact centers with compliance needs. Compared to Gong's public per-seat pricing, Hear may be costlier for smaller teams. It offers more value for high-volume, regulated environments.
Setup time & first value
How long it actually takes to get something useful out of Hear — broken out by persona, not the marketing-page minute.
Most teams get value within the first week: connect your telephony and CRM integrations, and Hear starts capturing conversations. Full rollout, including workflow customization and team training, typically takes a few weeks.
Switching to or from Hear
How to bring data in from common predecessors and how to get it back out — written for the switcher, not the buyer.
- →From manual QA processes: Import call recordings and transcripts into Hear to get immediate coverage and automated insights.
- →From Salesforce Service Cloud or Zendesk: Use built-in integrations to pull customer data and sync interactions.
Integrations
Resources & Guides
Tutorials & Learning
Official links
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Common stack mates teams adopt alongside Hear, with the specific reason each pairing earns its keep.
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Frequently Asked Questions
Best-of guides
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