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net2phoneScattered conversations cost businesses time, money, and customers. When voice, chat, video, and support tickets live in different systems, teams lose context, customers repeat themselves, and problems take longer to solve. net2phone fixes this. For 30+ years, net2phone has built AI-powered communication technology for businesses that treat customer experience as a competitive advantage. Today more than 500,000 users rely on net2phone to turn everyday conversations into retention and growth, backed by expert guidance at every step of implementation and beyond. Unite brings voice, messaging, video, and chat together in one workspace. Calls and video are recorded and transcribed automatically, sentiment analysis flags how conversations are actually going, action items get tracked without manual entry, and AI drafts the follow-up emails, so teams stop switching tabs to get work done. AI Agent takes routine work off your team's plate entirely. It answers customer questions, resolves support cases, books appointments, and processes returns across phone and chat, in more than 30 languages, and hands off to a human the moment a conversation needs one. Coach AI reviews every single voice, video, and text interaction, not a sample, so managers can see exactly how each rep and department are performing, spot coaching opportunities, and act on real call summaries and sentiment data instead of guesswork. uContact powers high-volume sales and support operations with intelligent routing, omnichannel automation, and live dashboards, keeping customer experience consistent no matter how much volume comes in. net2phone integrates with the systems you already run, includes a no-code workflow builder, and is protected by enterprise-grade security throughout, so the technology keeps delivering measurable results long after go-live.
What is Evalgent?
Evalgent operates as a specialized platform focused on assessing and testing AI voice agents. Failures in production are often not the result of poor technology; rather, they arise because demonstrations usually feature flawless audio and compliant users, which do not accurately represent real user experiences. By proactively identifying potential issues before they affect production, Evalgent streamlines the iterative process and fosters a quicker route to generating revenue for voice agents.
THE PROCESS
1. Define: establish real-world scenarios and success criteria.
2. Run: perform tests that replicate genuine human behavior.
3. Measure: pinpoint successful aspects, failures, and operational limits.
4. Act: extract clear, actionable insights for necessary modifications or rollouts.
KEY FEATURES
1. Scenarios: design and specify test cases according to agent directives.
2. Caller Profiles: simulate authentic user behaviors, accounting for variations in accents, speech tempo, and interruption patterns.
3. Metrics: employ custom LLM-related and telemetry scoring systems to assess every interaction's performance.
4. Evaluations: implement organized testing campaigns that produce pass/fail results alongside recommendations for enhancement.
5. Reviews: integrate human oversight for corrections, accompanied by a detailed audit trail.
This comprehensive strategy guarantees that voice agents are thoroughly examined and prepared to handle the intricacies of real-world interactions, ultimately contributing to their success in diverse environments. Each step of the process reinforces the reliability and effectiveness of these AI systems.
What is Agent Assurance by TestMu AI?
Agent Assurance offers engineering teams a comprehensive solution to evaluate AI agents that perform actions using various tools, files, and APIs. This innovative product measures an agent's effectiveness by utilizing criteria based on real-world workflows, ensuring it achieves the intended tasks and produces expected results. Teams can utilize the Rook command-line interface to target an agent project, design both functional and adversarial testing scenarios, execute the agent, and subsequently assess the outcomes against predefined tools and actual results, including modified files, generated artifacts, and executed commands. Each evaluation criterion receives a status of Pass, Fail, or Unable to Verify, which helps teams pinpoint any criteria that have not been successfully validated. In addition, teams have the flexibility to run tests directly from a terminal or incorporate them into headless continuous integration workflows, allowing them to catch any behavioral discrepancies before deploying changes to the agents. This tool proves especially advantageous for developers dedicated to building coding, workflow, and back-office agents that effectively respond to user requests, thus enhancing the overall reliability and performance of AI solutions. Furthermore, by utilizing Agent Assurance, teams can ensure their AI agent development process adheres to the highest standards, ultimately leading to improved user satisfaction and operational efficiency.
Integrations Supported
Integrations Supported
Agent Testing by TestMu AI
Kane CLI
KaneAI
LT Browser
SmartUI
TestMu AI
API Availability
API Availability
Pricing Information
Pricing not provided
Pricing Information
$44/month
Starter costs $44 per unit per month with annual billing, or $49 per unit per month with monthly billing. Each unit includes 4,000 monthly credits and one concurrent scenario. The 14-day free trial includes 4,000 credits and up to four concurrent scenarios.
Free Trial Offered?
Supported Platforms
SaaS
Supported Platforms
SaaS
Windows
Mac
Linux
Customer Service / Support
Standard Support
Web-Based Support
Customer Service / Support
24 Hour Support
Web-Based Support
Training Options
On-Site Training
Training Options
Documentation Hub
Company Facts
Organization Name
Evalgent
Date Founded
2025
Company Location
India
Company Website
www.evalgent.com
Company Facts
Organization Name
TestMu AI
Date Founded
2017
Company Location
United States
Company Website
www.testmuai.com/agent-assurance/
Categories and Features
AI Testing Tools
Not specified
Categories and Features
AI Testing Tools
Not specified