Understand
Define the operating question before choosing the technology.
- People, evidence and constraints
- What success would actually mean
- What must remain under human authority
How we work
Start with the problem. Prove what works.
IQAI begins with the operating problem, the available evidence and the people who carry responsibility. The context determines the choice of models and tools.
The method
Three stages. One continuous learning loop.
The method is deliberately simple: understand the real situation, build and test a bounded capability, then deploy only what earns its place.
Build & test
Compose the capabilities the problem requires and test them against reality.
- AI, software, rules and specialist methods
- Evidence before confidence
- Limits and uncertainty made visible
Deploy & learn
Put bounded capability into context, observe what happens and preserve what proves useful.
- Human review where consequences matter
- Measured outcomes and feedback
- Reusable knowledge without locking to one model
Working principleEvidence before confidence · review before reliance · human authority before consequential action.
Artificial Brain
The intelligence approach behind IQAI.
Artificial Brain (AB) is IQAI’s name for its approach to applied intelligence: reasoning in context, examining conclusions, retaining useful knowledge and keeping human judgment explicit.
Explore Artificial BrainBring us the problem before prescribing the AI.
The first useful conversation is usually about the operating problem, the evidence, the constraints and what a successful outcome would actually look like.