AI Evaluation

Build AI You Can Measure, Trust, and Improve

Build AI You Can Measure, Trust, and Improve

Evaluate every AI workflow before and after deployment with simulations, production replay, and customizable quality metrics—all from a single evaluation framework.

Evaluate every AI workflow before and after deployment with simulations, production replay, and customizable quality metrics—all from a single evaluation framework.

Evaluation Framework
Simulation Testing
Validate workflows with realistic user scenarios before deployment
Custom Metrics
Measure quality, latency, safety, cost & business outcomes
Production Replay
Evaluate historical conversations for real-world performance
Continuous Improvement
Turn every evaluation into actionable insights, and optimize over time

Continuous Evaluation

Confidence Comes From Continuous Evaluation

Phinite provides a structured evaluation framework that helps teams validate every change, measure performance consistently, and improve AI with every iteration.

Validate Every Change

Test new prompts, models, and workflows before they reach production.

Measure Consistently

Evaluate quality, latency, cost, safety, and business outcomes using standardized metrics.

Improve Continuously

Turn every evaluation into actionable insights that make your AI more reliable over time.

Platform

Continuous AI Evaluation

Monitor agent quality over time with built-in testing, scorecards, regression analysis, and production insights.

Evaluation Capabilities

Everything You Need to Evaluate AI

Simulation

Generate realistic conversations using configurable personas and scenarios to validate behavior before deployment.

Production Replay

Custom Metrics

Results & Insights

Measure What Matters

Go Beyond Pass or Fail

Effective evaluation isn't just about whether an AI response is correct—it's about understanding how well your workflows perform across quality, efficiency, and business impact.

  • Response Quality

    Evaluate correctness, groundedness, completeness, and consistency.

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  • Performance

    Track latency, execution time, and token usage.

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  • Business Outcomes

    Measure task completion, tool success, and workflow effectiveness.

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  • Cost & Efficiency

    Monitor AI spend and resource utilization across every evaluation.

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  • Response Quality

    Evaluate correctness, groundedness, completeness, and consistency.

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  • Performance

    Track latency, execution time, and token usage.

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  • Business Outcomes

    Measure task completion, tool success, and workflow effectiveness.

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  • Cost & Efficiency

    Monitor AI spend and resource utilization across every evaluation.

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Response Quality

Evaluate correctness, groundedness, completeness, and consistency.

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Performance

Track latency, execution time, and token usage.

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Business Outcomes

Measure task completion, tool success, and workflow effectiveness.

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Cost & Efficiency

Monitor AI spend and resource utilization across every evaluation.

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Evaluation Workflow

Evaluate with a Structured Workflow

Every evaluation follows a consistent process, making it easy to test AI workflows, measure outcomes, and continuously improve performance.

Step 1

Configure

Choose the workflow, datasets, evaluation mode, and success metrics.

Step 2

Run

Execute simulations or replay production conversations with automated evaluation.

Step 3

Analyze

Review results, compare versions, and identify areas for improvement.

Step 4

Optimize

Refine prompts, models, and workflows using measurable insights.

Why Phinite

Enterprise Governance, Built for Agentic AI

Manage AI agents with reusable governance, real-time enforcement, and complete visibility—all from a single platform.

  • Evaluate Before Deployment

    Catch regressions before they reach users with repeatable evaluation workflows.

  • Compare Every Version

    Measure the impact of prompt, model, and workflow changes over time.

  • Scale with Confidence

    Standardize evaluation across teams and environments with a single framework.

  • Replay Real Conversations

    Validate AI using historical production data to understand real-world behavior.

FAQs

Frequently Asked Questions

What is AI Evaluation?

What's the difference between Simulation and Production Replay?

What metrics can I evaluate?

Can I compare different workflow versions?

Can evaluations be automated?

Can I use my own datasets?

Build AI You Can Deploy with Confidence

Every improvement starts with better evaluation. Test workflows, measure performance, and validate every change before it reaches production—all from a single evaluation framework.