Mission-critical software. Faster releases. Demonstrable correctness.
AI brings speed. Axini adds demonstrable reliability. We verify that your software behaves exactly as agreed using a clear blueprint of its intended behaviour, which we call a model. Keep the speed of AI, with evidence that your software works as agreed.
Proven where failure is not an option
Complex software, less and less room for error
Teams are under pressure to release faster than ever, especially with AI in the mix. But in mission-critical systems, speed means nothing if you can't prove the software actually works as intended.
Testing slows every release
Manual and scripted testing cannot keep pace with change. Each release waits on regression tests and still leaves doubt.
Complexity nobody fully oversees
Business rules, integrations and edge cases multiply. Specifications are incomplete and the real behaviour lives in people's heads.
AI coding agents need precise input and thorough tests
To be effective and reliable, AI coding agents need precise specifications of the required behaviour and thorough automated tests. Without both, they work on assumptions rather than verified results.
Reliability and speed, without trading one for the other
Reliability
Errors surface while they are still cheap to fix, not once you are live. Fewer incidents, fewer surprises.
Faster delivery
Fully automated testing with every delivery. Know exactly when to release with confidence.
Control over complexity
One executable model of intended behaviour aligns business, development and testing and builds on your existing specifications and systems.

Start from your challenge
Mission-critical systems
Safety and availability are non-negotiable, as in rail, infrastructure and high-tech.
Complex business rules
Pensions, insurance and financial products where every rule and exception must be right.
Complex integrations
Interfaces and APIs between many systems and suppliers, tested on agreed behaviour.
AI and agentic development
Let AI agents build faster while a model proves that what they deliver is correct.
From required behaviour to automated proof
- 1
Capture the behaviour
With Axini AI, we capture the required behaviour from your existing specifications and make it precise and validated in a model, written in the Axini Modeling Language (AML).
- 2
Test automatically
The Axini Modeling Platform (AMP) generates and runs tests from that model, including edge cases and exceptional situations.
- 3
Get demonstrable results
You see exactly what has been covered and where your system deviates, with every release.
Demonstrably correct software, now within reach
Built on twenty years of formal verification, Axini solves the blind spot of AI-driven delivery: AI can generate code and test scripts, but only an explicit model guarantees that what you release is demonstrably correct.
Scripted test automation
- Tests are written by hand, one scenario at a time
- Coverage depends on what someone thought of
- Every change means updating many scripts
- Shows that tests passed
AI test generation
- Tests are generated from ambiguous specifications or prompts
- AI makes assumptions about what matters, edge cases are hit or miss
- Regenerate tests and hope they still mean the same
- Tests can create a false sense of security when based on implicit assumptions or interpretations
Axini model-based testing
- Tests are generated from one model of required behaviour
- Systematic coverage including edge cases
- Change the model once and all tests follow
- Demonstrates that the system behaves as agreed
Explore whether this fits your system
Every system is different. Pick the step that suits you.
Our clients & partners














ProRail, Achmea, TKP Pensioen and Thermo Fisher Scientific among others rely on Axini for model-based testing of their business-critical software. Customer stories



