Hear
AI contact center intelligence that captures and audits 100% of calls, chats, and tickets.
Hear is worth a serious look when your problem is coverage, not reporting — 100% of interactions monitored automatically, with compliance alerts and coaching that don't wait on a QA reviewer. The Slack delivery in v2.54.0 and prompt-built data reports in v2.53.0 close the two gaps that usually kill adoption: nobody wants another tab, and nobody wants to write queries. The catch is scope — this is built for high-volume, regulated contact centers, so leaner teams should look at lighter QA tools
Verified 18h ago · liveness 77/100 · cite: rightaichoice.com/tools/hear
- Contact centers that need 100% interaction coverage for compliance and QA
- Compliance managers replacing manual audits with automated monitoring
- CX and operations leaders who want alerts pushed into Slack rather than a dashboard
- Enterprises with high call volume and strict regulatory requirements
- Small businesses with low interaction volumes and tight budgets
- Sales-only teams chasing Gong- or Chorus-style deal analytics
- Analysts who want to build and customize granular dashboards themselves
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Skip Hear if your team runs low interaction volume or you need sales-deal analytics rather than cross-channel CX coverage — this is built for high-volume, compliance-driven contact centers.
Hear is voice-first, so if a meaningful share of your volume is text-only chat and ticket handling, you're paying for coverage the platform handles less effectively.
Hear is sized for mid-to-large contact centers with high interaction volume and compliance obligations — the kind of team that replaces manual QA auditing rather than a small shop that samples a few calls a week. It competes with sales-call intelligence tools like Gong or Chorus, but targets CX, compliance, and ops coverage instead of deal analytics. Smaller teams with low volume will find lighter alternatives cheaper.
In short
Hear — AI contact center intelligence that captures and audits 100% of calls, chats, and tickets. Best for Contact centers that need 100% interaction coverage for compliance and QA, Compliance managers replacing manual audits with automated monitoring, CX and operations leaders who want alerts pushed into Slack rather than a dashboard. Contact Sales pricing.
No head-to-head comparison for Hear yet — the alternatives below are the closest matches we list.
What's new in Hear
Checked todayAcross the latest 3 updates: 2 feature updates and 1 changelog entry.
Hear v2.55.0 adds expanded reporting options
Hear v2.55.0 adds new reporting options for org performance, faster data page loads, and fixes for scheduled, trend and sales bonus reports.
Hear v2.54.0 ships Slack integration and custom folders
Hear v2.54.0 adds a Slack integration for real-time conversation updates, custom folders across tabs, session inactivity timeouts and tighter API token controls.
Hear v2.53.0 adds prompt-built custom data reports
Hear v2.53.0 lets users build and filter reports by describing them in plain language, and improves Arabic transcription accuracy and report load times.
What people actually say about Hear — is it worth it?
We scanned public community sources for Hear on Aug 14, 2026 and could not establish that the discussion we found is about this tool rather than something else sharing its name. Our own analysis of that scan says the posts were off-subject. Rather than publish a sentiment score built on the wrong subject, we publish nothing here and re-run the scan.
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: October 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 across every interaction
- AI-generated performance reviews and personalized agent coaching
- Natural-language 'Ask anything' query interface for conversation data
- Build custom data reports from plain-language prompts (v2.53.0)
- Compliance reports tracking reviewer performance (v2.52.0)
- Slack integration delivering insights and alerts to team channels (v2.54.0)
- Custom folders across tabs and named agents in compliance headlines (v2.54.0)
- Synchronized transcripts that highlight text as you listen (v2.50.0)
- Audio Boost for clearer playback of call recordings (v2.50.0)
- Flow views to visualize conversation trends
- Scheduled recurring tasks managed from dashboard chat
- Alert feedback: mark alerts confirmed or modified to improve accuracy
- Platform MCP integration for AI assistant access to Hear data
About Hear
Hear is an AI contact center intelligence platform aimed at CX, compliance, and operations teams who need proof of coverage rather than a sample. It captures every call, chat, and ticket, then turns those interactions into a living source of truth you can query in plain language and act on from the same interface. The vendor's framing is deliberately anti-dashboard: no manual audits, no report building, autonomy over configuration. Three roles get their own lane. Customer Experience teams use it to see what customers are actually calling about and fix issues before they escalate; Compliance managers automate monitoring across 100% of interactions to reduce risk and retire manual audits; Operations leaders use AI-driven insights to cut manual process cost. A Sales & Marketing lane exists too, oriented around spotting revenue and churn signals inside existing conversations. The mechanics that matter are real-time AI agent monitoring with quality alerts, automated compliance checks with reviewer-performance tracking, and AI-generated performance reviews paired with personalized agent coaching. Recent releases keep widening the surface: v2.54.0 (Oct 5, 2026) pushes insights and critical conversation alerts into Slack, v2.53.0 (Sep 21, 2026) added custom data reports built from plain-language prompts, and v2.52.0 (Sep 14, 2026) shipped compliance reporting that tracks reviewer performance. Playback and analysis get practical touches too — synchronized transcripts, Audio Boost, flow views, and downloadable recording links. The positioning is enterprise-shaped and vendor-agnostic: one trusted view across every agent, human or AI, from any vendor, with integrations into Salesforce, Zendesk, Intercom, Twilio, Five9, Genesys, Amazon Connect, and Google Cloud Contact Center AI. That's a heavier footprint than QA point tools. If your problem is coverage and audit defensibility, the fit is obvious; if you're a small team chasing deal analytics, it isn't.
Behind the Verdict
We'd reach for Hear when the audit question is 'prove you monitored everything,' not 'show me a dashboard.' Sampling a few calls a week doesn't survive a regulator, and that's the gap this platform is built around: capture across calls, chats, and tickets, then automated compliance monitoring with real-time detection and alerts. The Slack integration in v2.54.0 is the release that changes daily behavior. Insights and critical conversation alerts landing in team channels means supervisors see a quality drop where they already work, instead of logging into a console they open once a month. Combined with v2.53.0's prompt-based custom data reports, the platform now assumes a manager can describe what they want in English rather than configure it. Where it bites: this is an enterprise platform, and the work starts before you buy. You need consent, recording, and data-retention policies in place, plus a clean integration path from your telephony stack. If Five9, Genesys, or Amazon Connect isn't already in your world, expect implementation overhead. Pass on Hear if you're a sales team hunting Gong-style deal analytics — the Sales & Marketing lane here is about signals inside customer conversations, not pipeline forecasting. Pass too if you want to hand-build granular dashboards; the product's whole argument is that you shouldn't have to. The closest comparison is the QA-and-conversation-analytics tier: Observe.AI, MaestroQA, and similar. Hear's differentiation is the independence pitch — one view across human and AI agents from any vendor — plus the compliance reporting depth added in v2.52.0.
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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.
You connect Hear to your existing telephony and CRM, let it capture every call, and set up automated compliance checks. Alerts fire in real time when an agent misses a required disclosure.
Outcome: Adherence issues surface the same day instead of in a quarterly sample audit, and you can point to 100% interaction coverage rather than a handful of reviewed calls.
You ask Hear in plain English what customers have been calling about this week, then build a custom report by describing it instead of writing a query (v2.53.0).
Outcome: You get an answer and can trigger a follow-up action from the same chat, without opening a BI tool or filing a data request.
Hear generates AI performance reviews and personalized coaching per agent, and v2.52.0 compliance reports let you track reviewer performance across the team.
Outcome: Coaching runs continuously off AI-generated reviews rather than waiting on manual call sampling, and you can see which reviewers are keeping pace.
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
- Building a custom report by describing the query in plain language
- Tracking QA reviewer performance against compliance standards
- Connecting AI assistants to Hear data for external analysis
Limitations
- Hear captures and audits 100% of interactions across calls, chats, and tickets, but the site does not name any underlying AI model, so model-level details cannot be verified.
- It is a web-based contact center intelligence platform with a Slack integration (v2.54.0) and a Platform MCP integration, and it offers a demo-based sales process rather than published pricing tiers.
- The changelog through v2.55.0 lists an ongoing stream of fixes — report generation/delivery, special-character email sync, call indexing/search, chat response accuracy, and team-settings conflicts — so compliance-critical teams should validate accuracy against their own data before relying on it for audit.
as of 2026-09-30
Verification history
We have re-verified Hear 23 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-checked, vendor evidence unchanged
- — 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 23 verification passes.
Free to cite with attribution — this page re-verifies continuously.
12-month cost
Project the real annual outlay, including the implied monthly cost when only an annual tier is published.
Vendor list price only. Add-on usage, seat overages, and contract minimums are surfaced under Hidden costs & gotchas.
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 is sized for mid-to-large contact centers with high interaction volume and compliance obligations — the kind of team that replaces manual QA auditing rather than a small shop that samples a few calls a week. It competes with sales-call intelligence tools like Gong or Chorus, but targets CX, compliance, and ops coverage instead of deal analytics. Smaller teams with low volume will find lighter alternatives cheaper.
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 compliance manager: expect meaningful setup before first value, since you need consent and recording policies, telephony/CRM connections, and compliance checks defined. For a CX leader: the 'Ask anything' interface is usable soon after conversations start flowing in. For a QA lead: coaching reviews need a baseline of captured calls, so first value scales with how quickly your volume comes
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 sampling: connect your telephony stack so Hear captures 100% of calls, then define compliance checks to replace the sampled review process.
- →From Gong or Chorus: point Hear at your support and CX conversations rather than sales calls, and rebuild deck-focused reports as prompt-driven reports instead.
- →From spreadsheet-based QA: move reviewer tracking into Hear's compliance reports (v2.52.0) so reviewer performance and workflow data live in one place.
- ↗To Gong or Chorus: if your primary need shifts to sales-deal intelligence, you'll lose cross-channel CX coverage and need to rebuild deal analytics there.
- ↗To a DIY BI stack: export or query conversation data, but you take on dashboard building and ongoing maintenance that Hear's prompt-driven reports currently handle.
Integrations
Resources & Guides
Tutorials & Learning
YouTube returned 6 videos for “Hear”, and we withheld 6: 6 could not be judged, because “Hear” is a single word that other videos use for other things. We are showing none, because we could not prove any of them are about Hear.
Official links
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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Alternatives to Hear
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Frequently Asked Questions
Best-of guides
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