Overview
Hear is an enterprise conversation-intelligence platform built for contact centers. The platform focuses on real-time transcription, NLP-driven summarization, automated QA, compliance monitoring, routing/operational insights and predictive analytics, which Hear describe as an "intelligence fabric" spanning training, live operations and reporting. Differentiators called out on the site include dual-model verification to improve output accuracy, multi-speaker handling, customizable summary formats, privacy-first automatic redaction, the ability to analyze 100% of interactions, and prebuilt integrations with major contact-center and CRM platforms. The Trust Center and privacy policy describe a formal security program (Secure SDLC, annual/third-party penetration testing, vulnerability scanning, monitoring/logging, RBAC with centralized identity provider, MFA, privileged access controls, production segregation, BC/DR tests and backups) and encryption (TLS 1.2+ in transit and AES-256 at rest). The site references a Data Processing Addendum (DPA) and GDPR-ready language. Major gaps on the public site: no published pricing plans or public free-trial information (pricing page exists but no published plans), no publicly linked technical API reference/SDK/webhook specs, and no publicly downloadable SOC2/ISO certificates (Trust Center lists controls and testing but formal audit reports should be requested). The site includes pages for product overview, conversation intelligence, automated QA, predictive analytics, case studies, partner integrations, blog/insights, and a primary "Get a demo" CTA. Recommended next steps from the collected notes: request a personalized demo and live walkthrough of required modules; request pricing/commercial tiers, sample contract and DPA; request technical documentation (API reference, connector list, data flow and webhook details); request SOC2/ISO or equivalent evidence and pen test reports; confirm data residency, retention and deletion policies and on-prem/private-cloud options if required; define pilot scope, KPIs and SLAs with Hear.
Key Features
Real-time transcription and NLP summarization
Platform emphasizes real-time transcription plus NLP-driven configurable summaries for calls, chats and emails.
Automated QA and 100% conversation coverage
Automated quality assurance at scale with the ability to analyze 100% of interactions for QA, compliance and coaching.
Dual-model verification for accuracy
Dual-model verification is promoted to improve output accuracy and trust in AI-generated results.
Multi-speaker handling and configurable summaries
Handles multiple speakers and supports customizable summary templates and formats.
Privacy-first auto-redaction
Product pages describe automatic redaction capabilities and privacy-focused controls; DPA referenced in privacy policy.
Prebuilt contact center and CRM integrations
Site references prebuilt connectors for major platforms (examples called out include Genesys Cloud, Zendesk and Salesforce) and connector/API options for custom integrations.



Who Can Use This Tool?
- Contact centers:Customer experience, QA, compliance and operational insights for enterprise contact centers.
- Enterprises:Regulated or privacy-sensitive organizations needing scalable transcription, redaction and security controls.
Pricing Plans
No public pricing plans published on the pricing page; commercial terms and demos provided via sales.
- ✓No public pricing or trial information on site
- ✓Pricing and packaging available via sales contact/demo
Pros & Cons
✓ Pros
- ✓Enterprise-focused conversation-intelligence built for contact centers (transcription, summarization, QA, compliance, routing/insights).
- ✓Differentiators include dual-model verification, multi-speaker handling, configurable summary templates, and privacy-first auto-redaction.
- ✓Prebuilt integrations with major contact center and CRM platforms referenced (Genesys Cloud, Zendesk, Salesforce).
- ✓Trust Center describes a formal security program and strong encryption (TLS 1.2+, AES-256 at rest).
- ✓Claims ability to analyze 100% of interactions and includes predictive analytics and operational insights.
✗ Cons
- ✗No public pricing plans or free-trial information available on the pricing page.
- ✗No publicly linked technical documentation (API reference, SDKs, webhook specs) on product pages.
- ✗No publicly downloadable SOC2/ISO certificates or formal audit reports available in the Trust Center (site lists controls; audit artifacts should be requested).
- ✗No public details about deployment options or data-residency (on-prem vs private-cloud not detailed).
Compare with Alternatives
| Feature | Hear.ai | Observe.AI | Loris |
|---|---|---|---|
| Pricing | N/A | N/A | N/A |
| Rating | 8.2/10 | 8.5/10 | 8.1/10 |
| Real-time Assist | Yes | Yes | No |
| QA Coverage | Yes | Partial | Yes |
| Accuracy Verification | Yes | No | No |
| Privacy Redaction | Yes | No | Partial |
| Integrations & Routing | Yes | Partial | Partial |
| Analytics & Insights | Yes | Yes | Yes |
| Enterprise Governance | Yes | Yes | Partial |

