VVEYRA
AI Reliability Infrastructure

Your AI works.
But does it work every time?

Veyra continuously tests AI applications and autonomous agents across thousands of real-world scenarios — detecting hallucinations, regressions and failures before they reach production.

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LLM evaluationsAgent testingContinuous monitoringEnterprise ready
Production overview
LIVE

97.4

/ 100

AI Reliability Score

Illustrative demo data

Accuracy

98.2%

Hallucination

0.8%

Tool Success

99.1%

Safety

100%

P95 Latency

620ms

Cost / Test

$0.0038

Reliability · last 30 daysIllustrative demo data
Regression detected

Model update caused a 12.4% decrease in retrieval accuracy.

The problem

AI is probabilistic.
Production can't be.

Traditional software can be tested with deterministic rules. AI systems behave differently. Small changes to prompts, models, retrieval systems or tools can create unexpected failures.

Hallucinations

Models confidently generate incorrect information.

Agent Failures

Agents can choose incorrect tools or execute unexpected actions.

Model Regressions

A model or prompt change can silently reduce quality.

Unknown Edge Cases

Teams cannot manually test every possible interaction.

The Veyra platform

Test AI like software.

A complete reliability workflow from first connection to every production deployment.

01

Connect

Your AI application

02

Generate

Thousands of test scenarios

03

Simulate

Real-world user behavior

04

Evaluate

Responses and actions

05

Score

Reliability and performance

06

Monitor

Regressions continuously

Automated evaluations

Thousands of tests.
Automatically.

Veyra generates synthetic evaluation datasets and runs large-scale AI testing across the dimensions that matter to your product.

Factual AccuracyHallucination DetectionInstruction FollowingSafetyRetrieval QualityTone ConsistencyTool CallingReasoningPolicy ComplianceLatencyCost

Production suite

5 of 2,495 recent tests

Running
TestAccuracySafetyLatencyTool UseResult
#10482384msPass
#10483421msPass
#10484812msFail
#10485392msPass
#10486406msPass
Agent evaluation

Know what your agents will do
before your customers do.

Autonomous AI agents introduce a new class of software risk. Veyra simulates complex environments to test how agents reason, select tools and complete multi-step tasks.

Explore agent testing

Execution trace

RUN_93F41 · 1.82s

Illustrative demo data
User RequestPASS
Agent ReasoningPASS
Tool SelectionWARNING
CRM APIPASS
DatabasePASS
Payment APIPASS
Final ResponsePASS

Tool Accuracy

98.7%

Completion

96.4%

Unsafe Actions

0

Red teaming

Attack your AI
before someone else does.

Automatically generate adversarial scenarios for prompt injection, jailbreak attempts, data leakage, unsafe tool execution, policy bypass, and sensitive information exposure.

Explore security testing
RED_TEAM_CAMPAIGN_04
COMPLETE

2,842

attacks simulated

Prompt injection1 flagged
Jailbreak attemptsClear
Data leakageClear
Policy bypassClear

2

potential vulnerabilities

0

Critical

0

High

2

Medium

0

Low

Illustrative demo data
Model comparison

Choose models with data,
not intuition.

Compare candidate models against your own workload across accuracy, latency, cost, hallucination rate, tool calling, and overall reliability.

All model names and metrics are illustrative.

Workload comparison

Support agent · production suite

Illustrative demo data
Model A
94.2
Model BBest fit
97.8
Model C
91.6

Accuracy

98%

Latency

610ms

Cost

$0.04

Halluc.

0.7%

Tools

99%

Continuous evaluation

Every deployment.
Automatically tested.

Integrate Veyra into development pipelines to automatically evaluate changes to prompts, models, RAG pipelines, agent tools, and system instructions.

+ Prompts+ Models+ RAG pipelines+ Agent tools+ System instructions
Developer
⌄
Git Push
⌄
AI Build
⌄
VEYRA EVAL
⌄
PASS
⌄
Production
$ veyra eval run \
  --suite production \
  --threshold 95

✓ 2,481 tests passed
✕ 14 tests failed
Reliability Score: 97.8
DEPLOYMENT APPROVED
Observability

Understand why your AI failed.

Trace every request through model calls, retrieval, tools, agent steps, and final responses—with latency, tokens, cost, and evaluation scores attached.

See the platform
Request trace
Request18ms1.0
Model Call482ms98.4
Retriever121ms62.0

Expected document not retrieved. Retrieval score: 62%

Tool Call204ms97.1
Agent Step312ms96.8
Response31ms97.8
Developer experience

Built for AI engineers.

Run evaluations from code, continuous integration, or the command line. Build quality gates with composable evaluation APIs.

Python SDKREST APICLICI/CDWebhooksEvaluation APIs
evaluate.py
from veyra import Veyra

client = Veyra()

evaluation = client.evaluate(
    application="support-agent",
    suite="production"
)

print(evaluation.reliability_score)

97.8
Illustrative demo data
Synthetic test data

Never run out of edge cases.

Veyra generates diverse synthetic evaluation scenarios based on application behavior and domain requirements.

Normal users
Ambiguous requests
Adversarial users
Rare edge cases
Long conversations
Multilingual interactions
Complex agent workflows
scenario_generatorGENERATING
Locale variance1240 ready
Adversarial intent684 ready
Context mutation3821 ready
Multi-step workflow946 ready
Built for scale

Millions of AI interactions.
Measured automatically.

Veyra orchestrates distributed evaluation workloads across scalable cloud infrastructure for thousands or millions of model interactions in parallel.

Customer AI app
Veyra evaluation engine
Scenario generator
Distributed workers
Models / agents
Evaluation models
Results database
Analytics dashboard
Illustrative demo data
Cloud & GPU compute

Massively parallel AI evaluation.

Evaluation campaigns can generate thousands of concurrent inference workloads for scenario generation, evaluation models, inference, embeddings, batch evaluations, and agent simulations.

10,000 tests
Evaluation queue
GPU worker 01
GPU worker 02
GPU worker 03
GPU worker 04
Results
Illustrative demo data
Enterprise

Built for production AI teams.

Designed around enterprise security principles—without making claims about certifications not yet obtained.

Private evaluation datasets
Encrypted data
Role-based access
Audit logs
Private networking
Data retention controls
SSO-ready architecture
Use cases

Every AI product needs testing.

01

AI Customer Support

Test answer quality and hallucination rates.

02

Financial AI

Validate accuracy and policy compliance.

03

Healthcare AI

Evaluate reliability and response consistency.

04

AI Agents

Test multi-step autonomous workflows.

05

Enterprise RAG

Measure retrieval and answer quality.

06

Developer Tools

Continuously evaluate AI coding systems.

Pricing

Start testing at your scale.

Simple evaluation tiers for prototypes, production teams, and enterprise environments.

Developer

Placeholder

For teams building their first AI application.

  • 5,000 evaluations / month
  • Basic dashboards
  • API access
  • CI/CD integration
Start Testing

Pricing shown as placeholder

Team

Most popular

Placeholder

For production AI teams.

  • 100,000 evaluations / month
  • Agent testing
  • Advanced analytics
  • Continuous monitoring
Start Testing

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Enterprise

Custom

For high-scale and regulated workloads.

  • Custom evaluation volume
  • Private deployments
  • Advanced security
  • Priority support
  • Custom frameworks
Contact Sales

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Build with confidence

Don't deploy AI
you haven't tested.

Build reliable AI applications with automated evaluation, agent testing and continuous monitoring.

Start Testing Talk to an Engineer