01
AI Test Generation
Turn requirements and learned behaviour into meaningful tests. Automatically uncover the scenarios you haven’t considered.
AI Orchestrator
Testing that learns
where to look.
Every test campaign has a budget. A fixed test plan spreads it evenly. The Algo Dot Orchestrator learns how your system behaves and spends it where failures are most likely to be.
Same 40 tests. Two strategies.
Each square is one test scenario, a combination of two operating conditions. A hidden region of the space makes the system fail.
Tests run
40 / 40
Failures found
12 / 12
- 1 / EXPLORE
A few tests spread across the whole space, to see how the system behaves.
- 2 / LEARN
A surrogate model learns from the results and predicts where failures are likely.
- 3 / FOCUS
The remaining tests go where the risk is highest, tracing the edge of the failure region.
Not testedPassedFailure foundPredicted risk
Simplified illustration of the idea, not a measured result.
The Algo Dot difference
Beyond automation.
Autonomous intelligence.
We don’t just build test environments. We create autonomous validation ecosystems.
At the centre is the Algo Dot AI Orchestrator. It learns your system, finds what matters most and keeps improving your validation strategy, finding failures before they reach the real world.
- Learns system behaviour with surrogate models
- Generates tests for critical gaps and edge cases
- Injects noise, disturbances and targeted faults
- Prioritises coverage by risk and impact
Built on
Purpose-built intelligence.
Real engineering impact.
02
Surrogate Models
High-fidelity intelligence, without the computational cost. Learn system behaviour and accelerate exploration.
03
Fault Injection
Introduce the unexpected. Systematically test disturbances, sensor noise and failures to expose hidden vulnerabilities.
04
Digital Twins
A dynamic virtual counterpart to your physical system. Connect simulation and reality for deeper insight.
05
Real-Time HIL
Real hardware. Real-time simulation. Validate complex interactions under reproducible, demanding conditions.
06
Coverage Analysis
See beyond test counts. Understand coverage gaps, assess risk and focus effort where it makes the greatest difference.
How it works
Learn. Decide. Validate. Evolve.
01
Learn
Surrogate models learn how your system behaves from models, simulations and early test results.
02
Decide
Scenarios are ranked by risk and by gaps in coverage, so the next test is the most useful one.
03
Validate
Tests are generated, faults and noise injected, and run on MiL, SiL or HiL, on your rigs.
04
Evolve
Every result updates the model. The test strategy improves with each run, for the life of the programme.
You stay in control
The Orchestrator proposes, your engineers decide. Every test is traceable to a requirement, and every result is explained.