Hear
AI-native contact center intelligence for 100% voice coverage.
Hear's promise of 100% conversation coverage and automated QA delivers serious efficiency gains for compliance-heavy contact centers. But pricing opacity and the requirement for full voice coverage may deter smaller teams. It's a strong choice for enterprises needing end-to-end visibility.
- Contact centers needing 100% compliance monitoring on all calls
- CX leaders seeking proactive insights beyond traditional dashboards
- Operations managers wanting to automate QA and reduce manual audits
- Sales teams identifying upsell opportunities and reducing churn
- Small businesses or startups with limited call volumes and budget
- Teams preferring granular customizable dashboards over conversational querying
- Sales-only use cases where Gong-style deal-level analytics are needed
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Skip Hear if you run a small contact center with under 50 agents or prefer text-only analytics, as its full voice coverage and enterprise pricing may not fit.
Hear's contact-only pricing is opaque, making it hard to compare. It likely targets mid-to-large enterprises, while competitors like Gong offer more transparent, sales-focused tiers. Smaller teams may find it expensive.
In short
Hear — AI-native contact center intelligence for 100% voice coverage. Best for Contact centers needing 100% compliance monitoring on all calls, CX leaders seeking proactive insights beyond traditional dashboards, Operations managers wanting to automate QA and reduce manual audits. Contact Sales pricing.
Viability Score
How likely is Hear to still be operational in 12 months? Based on 4 signals — momentum (how recently it shipped), wrapper dependency, revenue model, and web presence.
Last calculated: July 2026
How we score →Key Features
- 100% conversation capture across calls, chats, tickets
- Automated compliance monitoring with real-time alerts
- AI-driven performance reviews and agent coaching
- Natural language query interface ('Ask anything')
- Proactive alerts for issues and opportunities
- Automated QA with 94% time reduction
- Conversational analytics without dashboards
- Transparent and traceable AI insights
- Role-based views for CX, compliance, ops, sales
- Agent coaching efficiency (8x improvement)
- Live source of truth from all customer signals
- Predictive analytics with 100% voice coverage
- Copilot and predictive analytics support
- Advanced conversation filters for granular analysis
- Real-time QA capabilities
About Hear
Hear is an AI-native contact center intelligence platform that captures 100% of calls, chats, and tickets, providing complete visibility without manual dashboards. It automates compliance monitoring, delivers AI-driven performance reviews and coaching, and offers a natural-language query interface for instant insights. Designed for CX leaders, compliance managers, operations heads, and sales teams, Hear integrates with Salesforce, Zendesk, Twilio, Five9, Genesys, Slack, Microsoft Teams, Zoom, Google Cloud Contact Center AI, and Amazon Connect. Recently, it added advanced conversation filters for granular analysis. Its key differentiator is full voice coverage, which it argues is essential for accurate analytics. Unlike Gong or Chorus, which focus on sales call recording, Hear provides enterprise-grade interaction intelligence for all customer conversations, positioning itself as a unified contact center OS.
Behind the Verdict
Hear stakes its reputation on the idea that partial analytics are misleading — that you can't improve what you don't see. The 100% coverage argument is compelling for regulated industries. In practice, the natural-language query interface saves manual dashboard building, but the tool requires committing to full capture, which raises privacy considerations. Compared to Gong, which is sales-call-centric, Hear covers chats and tickets too. Where it bites: no public pricing, and the platform demands a shift in how teams think about monitoring (no dashboards). We'd reach for this when compliance mandates or when you need a single pane across all channels.
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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.
Automate detection of non-compliant phrases across all calls and chats in a financial contact center.
Outcome: Hear flags violations in real-time, reducing manual audit time by 94% and ensuring regulatory adherence.
Use natural-language queries to ask 'Which calls this week had long hold times and negative sentiment?'
Outcome: Instant answer without building dashboards, enabling quick action to improve customer experience.
Identify upsell opportunities by reviewing calls where competitors were mentioned but no offer was made.
Outcome: Proactive alerts help sales teams follow up, increasing conversion rates and revenue.
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
Limitations
- Enterprise pricing details and small team suitability are not specified.
- The platform's reliance on voice intelligence may be suboptimal for text-only channels.
- Limited third-party ecosystem integration compared to mature competitors like Gong or CallRail.
as of 2026-06-29
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 contact-only pricing is opaque, making it hard to compare. It likely targets mid-to-large enterprises, while competitors like Gong offer more transparent, sales-focused tiers. Smaller teams may find it expensive.
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.
For a mid-size contact center (50–200 agents), Hear can be set up in 1–2 weeks, including integration with telephony and CRM systems. Real-time analytics and coaching features activate within days of data ingestion.
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Tools that pair well with Hear
Common stack mates teams adopt alongside Hear, with the specific reason each pairing earns its keep.
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