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Ship conversational AI agents that don't break at turn 6

Ship conversational AI agents that don't break at turn 6

Turn gut checks into a living regression suite.
Simulate, evaluate & catch failures before your users do.

Turn gut checks into a living regression suite. Simulate, evaluate & catch failures before your users do.

Quraite is a conversational AI agent evaluation platform helping teams ship their agents 10x faster, with confidence.

Quraite is a conversational AI agent evaluation platform helping teams ship their agents 10x faster, with confidence.

Integrates With

Integrates With

"Vibe evals" doesn't scale.
Neither does your patience.

"Vibe evals" doesn't scale.
Neither does your patience.

What Can You Quraite?

What Can You Quraite?

Curate Scenario-Based Test Cases

Curate Scenario-Based Test Cases

Craft individual scenarios. Test like real users behave.

Define persona, context, and expected behavior manually.


Quraite simulates realistic conversations and tests your agent turn by turn, and stops the moment it fails. No wasted time, no wasted tokens.

Define persona, context, and expected behavior manually.


Quraite simulates realistic conversations and tests your agent turn by turn, and stops the moment it fails. No wasted time, no wasted tokens.

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VOICE AGENT EVALUATION

VOICE AGENT EVALUATION

Testing a voice agent? The same scenario-driven approach, built for voice.

Define the scenario. Pick the user personality and environment - gender, pace and background noise.

Quraite runs simulated users that talk, listen, and evaluate - end-to-end.

Define the scenario. Pick the user personality and environment - gender, pace and background noise.

Quraite runs simulated users that talk, listen, and evaluate - end-to-end.

Dataset Generation

Dataset Generation

Describe your agent. Get a full test suite.

Stop manually hunting for edge cases. Just describe your agent and a capability - Quraite bootstraps an entire test suite in minutes.

Unlike other generators, Quraite never hallucinates data - if something isn't in the knowledge base, it hands control back to you.

Stop manually hunting for edge cases. Just describe your agent and a capability - Quraite bootstraps an entire test suite in minutes.

Unlike other generators, Quraite never hallucinates data - if something isn't in the knowledge base, it hands control back to you.

CURATE Script-Based Test Cases

CURATE Script-Based Test Cases

Exact conversations.
Deterministic evaluations.

Want more control? Write the exact user messages and expected behaviour at every turn.

Ideal for regression testing critical conversation flows or reproducing production conversations.

Want more control? Write the exact user messages and expected behaviour at every turn.

Ideal for regression testing critical conversation flows or reproducing production conversations.

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Consistency Testing

Consistency Testing

Same input, 5 runs.
How reliable is your agent?
Same input, 5 runs. How reliable is your agent?

A reliable agent doesn't pass one out of five runs - it passes all five. Consistency is your agent's moat.

Run the same test case multiple times to catch flaky behavior and ensure your agent holds up every time.

A reliable agent doesn't pass one out of five runs - it passes all five. Consistency is your agent's moat.

Run the same test case multiple times to catch flaky behavior and ensure your agent holds up every time.

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Curate Metrics

Curate Metrics

Define "good" once.
Measure it everywhere.
Define "good" once. Measure it everywhere.

Generic metrics test someone else's product. Yours should reflect your users, outcomes, and domain.

Build custom metrics grounded in real business impact and apply them consistently across every test case.

Generic metrics test someone else's product. Yours should reflect your users, outcomes, and domain.

Build custom metrics grounded in real business impact and apply them consistently across every test case.

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Conversational agents make runtime decisions you never programmed. Traditional software testing won't cut it.

Conversational agents make runtime decisions you never programmed. Traditional software testing won't cut it.

Why This Matters Now?

Why This Matters Now?

Better agents are built through iteration, but conversational agents make this painful because
everything around your agent keeps shifting.

Better agents are built through iteration, but conversational agents make this painful because everything around your agent keeps shifting.

Users surprise you.

Users surprise you.

Behaviors shift. Preferences evolve. Every conversation is a potential test case you're missing.

Tech evolves.

Tech evolves

Models, tools, design patterns. Adopt improvements without breaking what works.

Requirements shift.

Requirements shift.

Features get added. Guardrails get tightened. Policies evolve. Compliance gets stricter.

Without systematic evaluation, you're building blind. Every improvement could silently break what already works.
You'll find out when your users do.

Without systematic evaluation, you're building blind. Every improvement could silently break what already works.
You'll find out when your users do.

The Quraite Approach

The Quraite Approach

Show, don't tell

Show, don't tell

Define success through examples.
"It works" only works in demos.

Define success through examples.
"It works" only works in demos.

Start with what matters

Start with what matters

You don't need perfect coverage on day one. Test critical paths first, ship quickly, add tests from real failures.

You don't need perfect coverage on day one. Test critical paths first, ship quickly, add tests from real failures.

Production is your best test case

Production is your best test case

Synthetic datasets alone won't cut it. Continuously feed production traces back into your eval suite.

Synthetic datasets alone won't cut it. Continuously feed production traces back into your eval suite.

Good agent building is an exercise in iteration. You need to iterate fast in both loops: inner loop curation (during development) & outer loop curation (from production).

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Why Choose Quraite?

Works With Any Agent Framework

Evaluation-Ready Agent Trace Capture (Across Every Turn)

Works With Your Observability Stack

Why Choose Quraite?

Works With Any Agent Framework

Quraite works with any agent framework - LangChain, Google ADK, Pydantic AI, Smolagents, and more. We support the most popular frameworks out of the box, with more being added regularly.

Building your own framework? No problem. Use our Agent Adapter Interface to plug in any custom agent implementation. It's a simple abstraction layer that takes minutes to set up, not days.

Evaluation-Ready Agent Trace Capture (Across Every Turn)

Works With Your Observability Stack

Your prompts are developed.

Your tools are connected. Your context is engineered.

Now Quraite the dataset that tests them all.

Now Quraite the dataset that tests them all.

Because without evaluation, you're shipping hope, not confidence.

✓ Repeatable

✓ Automated

✓ Continuous

✓ Actionable

Start Evaluating Now →

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Frequently Asked Question?

Frequently Asked Question?

What is Quraite?

Quraite is a platform where you can simulate, evaluate, and catch failures in conversational AI agents before shipping, ensuring robust multi-turn performance and confidence in production.

Can I explore Quraite before integrating my agent?

Absolutely! Jump right in with our Default Project - it comes with a sample Retail Agent and test scenarios so you can start exploring immediately. Start exploring now at https://app.quraite.ai/

Does Quraite integrate with my existing agent framework?

Quraite integrates seamlessly with leading agent frameworks including LangChain, Google ADK, Agno, Amazon Bedrock, Pydantic AI, Smolagents, n8n, Langflow, and Flowise - or connect your custom framework.

Do I need to replace my current observability tools to use Quraite?

No. Quraite works alongside your existing observability platform, whether you're using Langfuse, Datadog, SigNoz, or others, complementing it with an evaluation layer for your agent's performance.

What is the difference between a trace and a trajectory?

A trajectory captures internal agent steps such as LLM invocations, tool calls, and reasoning. A trace captures tokens and latency along with the trajectory, similar to an OpenTelemetry (OTel) trace.

How is Quraite different from LangWatch's Scenario

Quraite takes an experiments and metrics-driven approach, letting you compare different experiments and define common metrics (like brand tone and politeness) once, then apply them across all test cases. We provide adapters to automatically capture agent trajectories using OpenInference and OpenTelemetry instrumentation (coming soon), eliminating manual agent response conversions and making multi-agent architecture integration seamless.

How is Quraite different from OpenEvals Simulator?

Quraite lets you write custom expected behavior for each test case and includes an automatic fail-fast feature that halts execution when your agent deviates from the expected path. You get script-based test cases for precise control over conversation flow and testing. We offer out-of-the-box integrations with popular agent frameworks and regularly add more, so you can get started quickly.

How is Quraite different from Maxim's Agent Simulation?

You get script-based test cases for precise control over conversation flow and testing. We offer out-of-the-box agent framework integrations that capture your agent's trace and evaluate it at every turn, helping you get started quickly and enabling seamless multi-agent architecture integration. We support widely adopted instrumentation libraries like OpenInference and OpenTelemetry (coming soon) to capture the agent trace at every turn.

What all modailty Quraite supports?

Quraite supports both chat and voice agent evaluation. For voice, you can configure the caller's gender, pace, and background noise, and get a recording of every simulated call alongside the evaluation.

Can I use the same test scenarios for both chat and voice agents?

Yes, if you have the same agent in both modalities. The approach is the same. You define scenarios the same way regardless of modality, and dataset generation, consistency testing, and custom metrics all work across both. The one exception is scripts, which are currently supported for chat only.

"Treat your agent like an untrusted worker.
Curate your confidence, don't assume it."

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