AI that helps people
ask better questions.
We are developing a practical AI direction rooted in IT operations and cybersecurity: workflows that organise evidence, surface inconsistencies and keep human expertise in control.
The answer matters. So does the evidence behind it.
Our proposed AI direction brings operational events, supporting context and human decisions into one understandable investigation workflow. Each step requires validation against real user needs and appropriate safeguards.
Focused workflows.
Measurable value.
AI-assisted IT workflows
Explore how AI can structure service information, summarise incidents, prepare documentation and support repeatable IT workflows.
Investigation decision support
Explore cross-checking security events against available context, mapping alternative explanations and producing traceable review notes.
Cyber-physical evidence analysis
Study how digital, contextual and physical evidence can be assessed together when investigating distributed energy systems.
Human judgement stays
in the loop.
Useful AI for important systems must be explicit about what it knows, what it infers and what remains unresolved.
Distinguish observed facts from interpretations and hypotheses.
Preserve links between source material and investigation conclusions.
Test interpretations against external context and physical plausibility.
Prioritise privacy, access control and human review.
Discover. Validate. Then scale.
Customer discovery
Interview operators and technical teams, prioritise problems and identify viable paid use cases.
Scoped pilots
Prototype a limited workflow using authorised data; measure usefulness and limitations.
Repeatable services
Offer implementation and investigation support for validated requirements.
Potential product
Assess whether demand supports a subscription model or sector-specific platform.
Have a process where better evidence would help?
We’re interested in discussing real investigation challenges and carefully scoped pilot opportunities.