Research Initiative — Ongoing

IntelliBot

AI for more traceable engineering research

IntelliBot is an ongoing MindWaves research initiative exploring how AI can help technical teams connect evidence, test hypotheses, and keep engineering knowledge traceable.

Explore the research
Engineering research team reviewing technical data

Why it matters

Engineering knowledge is valuable, when it can be connected and tested.

Technical teams often work across reports, process descriptions, measurements, and expert context that live in separate places. IntelliBot explores how that knowledge can be structured and connected so it becomes easier to investigate, question, and validate.

Technical documentation and engineering collaboration

The research challenge

The challenge is not simply generating an answer.

General-purpose AI can retrieve information and summarise documents. It does not, on its own, connect technical evidence into testable, traceable reasoning, that is the gap this research explores.

Evidence
→
AI-supported hypothesis
→
Technical validation
DocumentsMeasurementsSimulationsExpert context

How IntelliBot is being explored

From evidence to testable research paths

The research combines established AI methods with domain knowledge and technical validation, step by step.

Structure evidence

Organise technical documents, data and results with their relevant context.

Connect domain knowledge

Relate engineering language to parameters, operating states and technical constraints.

Test the hypothesis

Compare potential relationships with references, measurements and simulations.

Research principles

Research that keeps people, evidence and responsibility connected

IntelliBot is guided by a simple principle: a plausible AI response is not enough, it must be traceable and tested.

Traceability

Keep suggestions connected to evidence, assumptions and context.

Validation first

Test proposed relationships against appropriate technical references.

Uncertainty awareness

Make limitations and confidence boundaries visible.

Human expertise

Engineers and researchers remain responsible for interpretation and decisions.

Controlled data use

Design for secure, governed and locally controlled technical environments.

Engineer reviewing data in an industrial setting

Future direction

Research in progress. Built around real technical questions.

If successful, IntelliBot could help technical teams trace evidence more clearly, test hypotheses with more confidence, and keep human expertise at the center of every decision.

Talk to our innovation team

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