Now accepting early access applications

AI-Native Software Quality
for Complex Systems

Generate cross-service tests, observe execution, trace failures, and continuously improve software quality as your system evolves.

Request Early Access See How It Works
Customer-controlled execution — no direct CratonAI runtime access required
CratonAI — AI-Native Quality Lifecycle
01
Understand
Business Flow
"Customer completes checkout → order confirmed → fulfilment begins"
System Context
Connected services
Expected states
Business rules
Quality Scope
Interactions States Events
02
Generate & Validate
AI-generated coverage for complete business outcomes
Complete business flow CONFIRM
Expected state changes CONFIRM
Failure and recovery REVIEW
Downstream outcomes REVIEW
Your team confirms what correct behaviour means
03
Run & Improve
CUSTOMER-CONTROLLED EXECUTION
Deploy inside your environment
Observe, trace, and improve
Keep access under your control
 
✓ customer-approved AI feedback
✓ Runs inside your infrastructure
✓ Observe and trace tested flows
✓ No direct CratonAI runtime access

Integrates with your existing CI/CD stack

GitHub Actions Jenkins GitLab CI CircleCI Docker Kubernetes Azure DevOps
How It Works

From business intent
to continuous software quality

One workflow from test generation to execution insight and improvement.

01

Understand the flow

Define the business outcome and system context.

business flow · system context
02

Generate & validate

AI generates cross-service test scenarios and executable validation.

AI generation · team approval
03

Run & improve

Observe outcomes, trace failures, and use approved feedback to improve future testing.

observability · traceability · adaptive improvement
Features
Customer-Controlled

Built for the full
software quality lifecycle

Testing, observability, traceability and adaptive improvement in one workflow.

⚡

AI-native test generation

Generate executable validation from complete business flows across distributed systems.

BUSINESS FLOW COVERAGE
Trigger → services → state changes → outcome
Expected outcomes, failure paths, and recovery stay under your control
🔗

Observability & traceability

Follow tested flows across services and identify where expected and actual behaviour diverge.

🏗️

Customer-controlled execution

Run inside your environment with permissions, execution, and results under your control.

🔄

Adaptive improvement

Use customer-approved execution feedback to improve future test planning and coverage.

🛡️

Distributed-system coverage

Validate APIs, events, state changes, and downstream outcomes as one business flow.

Deployment

Your environment.
Your control.

You control deployment, access, execution, results, and what feedback is shared.

Customer-controlled
from deployment to improvement

CratonAI generates the test framework. Your team controls where it runs, what it can access, and whether execution feedback is shared for AI-driven improvement.

1

Generate your framework

Created from your business and system inputs.

2

Deploy in your environment

Run only where and against what your team chooses.

3

Review & improve

Keep results local or share approved feedback for further improvement.

customer environment · quality lifecycle
CUSTOMER ENVIRONMENT
 
Access: configured by your team
Execution: scheduled by your team
Results: retained under your control
 
Framework: customer-deployed
Permissions: customer-managed
AI feedback: customer-approved
 
✓ Customer-owned results
✓ Customer-controlled execution
✓ No direct CratonAI runtime access
Comparison

A different model for AI-native software quality

Built around complete business flows and customer-controlled execution.

Capability
Typical Platform Model
CratonAI
Test generation
~ Platform-driven authoring
✓ Generated from business flows and system information
Quality lifecycle
~ Testing and debugging often remain separate
✓ Testing, observation, traceability, and improvement
Execution control
~ Cloud, agent, or platform-managed options
✓ Customer-deployed and customer-controlled
Test asset ownership
~ Varies by product and licence model
✓ Independent framework controlled by the customer
Vendor runtime access
~ May use a connected agent or managed runtime
✓ No direct CratonAI runtime access required
Ongoing improvement
~ Manual or platform-specific maintenance
✓ Customer-approved feedback improves future generation
Early Access

Shape the next generation
of software quality

We're onboarding engineering teams building complex distributed systems. Join free and help shape CratonAI.

Request Early Access

No commitment · Free during early access · Your feedback shapes the product