Balto vs Tethr
Side-by-side comparison
| Balto | Tethr | |
|---|---|---|
| Product | Balto | QA Automation |
| Category | Voice & Call Center | Voice & Call Center |
| What it does | Real-time AI guidance for perfect customer conversations. | Automate conversation scoring, reduce manual QA, and gain a complete view of agent performance. |
| Pricing model | Custom enterprise | — |
| Starting price | Custom pricing (enterprise) | — |
| Free trial | No | No |
| Target company size | Enterprise | SMB, Mid-Market, Enterprise |
| Deployment | Cloud/SaaS | SaaS |
| Integrations | Five9, NICE, RingCentral, Avaya, Genesys | — |
| API available | Yes | Yes |
| Certifications | SOC 2 Type II | PCI-DSS Level 1, SOC 2, GDPR, HIPAA |
About Balto
Balto is a real-time AI guidance platform designed for contact center agents. It leverages artificial intelligence to analyze live conversations and provide agents with immediate, on-screen prompts, smart checklists, and coaching alerts. The platform is used by mid-market to enterprise organizations to improve sales, ensure compliance, and enhance customer satisfaction by augmenting human potentia
Use cases: Improving sales conversion rates by guiding agents on objection handling and closing techniques during live calls., Ensuring 100% compliance with regulatory requirements and company policies across all customer interactions., Reducing agent ramp time and improving new hire effectiveness through continuous real-time coaching., Enhancing customer satisfaction (CSAT) by ensuring consistent, empathetic, and effective agent interactions., Automating quality assurance (QA) processes and providing data-backed coaching insights for performance improvement.
About QA Automation
Creovai (formerly Tethr and Awaken Intelligence) offers QA Automation as a key component of its conversation intelligence platform. This solution is engineered to automate the mechanical aspects of the quality assurance process, efficiently scoring customer conversations based on predefined QA criteria. By leveraging advanced AI, it eliminates the need for extensive manual call listening and scor
Use cases: Automate quality assurance for customer support interactions across all channels., Reduce manual effort and time spent on call listening and scoring by QA teams., Ensure consistent application of QA criteria and compliance guidelines across all agent conversations., Identify specific agent coaching opportunities based on objective performance insights., Monitor and enforce compliance with regulatory requirements and internal policies in customer interactions.