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Description
Evalgent serves as a platform dedicated to the testing and evaluation of AI voice agents. The common reasons for failures in production are not due to inadequate technology but stem from the fact that demonstrations typically utilize pristine audio and compliant users, which is not reflective of actual user interactions. By identifying potential failures before they can impact production, Evalgent reduces the time needed for iterations and accelerates the path to revenue for voice agents.
THE PROCESS
1. Define: establish authentic scenarios and criteria for success.
2. Run: execute tests that mimic realistic human behavior.
3. Measure: identify successful elements, failures, and operational boundaries.
4. Act: obtain clear, actionable insights for necessary adjustments or deployments.
KEY FEATURES
1. Scenarios: create and define test cases based on agent directives.
2. Caller Profiles: emulate real user behaviors, including variations in accents, speech speed, and interruption styles.
3. Metrics: utilize custom LLM-related and telemetry scoring to evaluate every interaction.
4. Evaluations: conduct structured testing campaigns that yield pass/fail outcomes along with improvement suggestions.
5. Reviews: incorporate human oversight for corrections, complete with a comprehensive audit trail.
This multifaceted approach ensures that voice agents are thoroughly vetted and ready for the complexities of real-world interactions.
Description
Oqoqo serves as a comprehensive platform for creating evaluations and tailored benchmarks for practical tasks requiring agency, enabling teams to conduct large-scale experiments in realistic settings utilizing fully managed cloud services. Users have the flexibility to establish private sets of tasks and criteria, evaluate agents on their ability to interact with various products such as skills, MCP servers, CLIs, SDKs, APIs, documentation, and files, while also facilitating the comparison of agents, models, interventions, and levels of effort under consistent conditions. Each individual task operates in its own separate environment, complete with the necessary project state, context, files, tools, and credentials. Oqoqo meticulously records every aspect of each run, documenting commands, tool interactions, errors, files, and the point at which an agent ceased functioning, ultimately providing metrics such as pass or fail results, pass rates, improvements, token utilization, and areas of friction. With these valuable insights, teams are empowered to pinpoint issues within product interfaces, address token inefficiencies, analyze performance variances, rectify failures, and subsequently re-execute the experiments for further refinement and learning. This iterative process fosters a culture of continuous improvement, ensuring that agents are consistently enhanced for optimal performance.
API Access
Has API
No
API Access
Has API
Yes
Integrations
Claude Code
No
Codex CLI
No
Cursor
No
GitHub Copilot
No
Grok Build
No
Hermes Agent
No
Model Context Protocol (MCP)
No
OpenClaw
No
OpenCode
No
Pi Agent
No
Integrations
Claude Code
Yes
Codex CLI
Yes
Cursor
Yes
GitHub Copilot
Yes
Grok Build
Yes
Hermes Agent
Yes
Model Context Protocol (MCP)
Yes
OpenClaw
Yes
OpenCode
Yes
Pi Agent
Yes
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Pricing Details
$20 per month
Free Trial
No
Free Version
Yes
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
No
Webinars
No
Live Training (Online)
No
In Person
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
Yes
In Person
No
Vendor Details
Company Name
Evalgent
Founded
2025
Country
India
Website
www.evalgent.com
Vendor Details
Company Name
Oqoqo
Founded
2026
Country
United States
Website
oqoqo.ai/