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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
Netra serves as a robust platform designed for AI agents to monitor, assess, simulate, and enhance the decisions made by these agents, allowing for confident deployments and proactive identification of regressions prior to user exposure. Built on OpenTelemetry, SOC2 Type II certified, and compliant with GDPR and HIPAA.
Key Features
1. Observability: Comprehensive tracing capabilities that capture every step of multi-agent, multi-step, and multi-tool processes, detailing inputs, outputs, timings, and costs for each reasoning step, LLM invocation, and tool use.
2. Evaluation: Automated quality assessment for each agent decision, utilizing integrated scoring rubrics, custom evaluations with LLMs and code reviewers, online assessments using live traffic, and continuous integration gates to prevent regressions.
3. Simulation: Evaluate agents under the stress of thousands of both real and synthetic scenarios before they go live. This includes using varied personas, conducting A/B tests against baseline performances, and quantifying confidence levels prior to any user interaction.
4. Prompt Management: Each prompt is versioned, compared, tracked for lineage, and safeguarded against rollbacks, ensuring that every production response can be traced back to its precise prompt version, thereby enhancing accountability and control.
Netra is built on OpenTelemetry, making it compatible with any OTLP-compliant backend and ensuring teams can get started with just 2 to 3 lines of code. It integrates with 14+ LLM providers including OpenAI, Anthropic, Google Gemini, and AWS Bedrock, and 12+ AI frameworks including LangChain, LangGraph, CrewAI, and LlamaIndex.
The platform is SOC2 Type II certified and compliant with GDPR and HIPAA, with strict US and EU data residency
API Access
Has API
API Access
Has API
Screenshots View All
No images available
Integrations
CrewAI
LangChain
LlamaIndex
OpenTelemetry
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
$39/month
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Evalgent
Founded
2025
Country
India
Website
www.evalgent.com
Vendor Details
Company Name
Netra
Founded
2025
Website
getnetra.ai/
