High-level technical analysis of AI systems, research directions, and claims.
This includes assessing feasibility and maturity, identifying technical uncertainty and research risk, and supporting long-term thinking around AI development.
This work does not involve implementation, procurement, or endorsement.
Structured, technically rigorous briefings for angel investors and early-stage decision-makers.
These engagements examine AI claims, assumptions, and limitations, clarify research risk versus engineering risk, and place approaches within the broader AI research landscape.
No deal participation, endorsement, or due-diligence sign-off.
Occasional advisory and discussion-based engagements with universities and research organisations.
These focus on research quality and credibility, long-term capability building in AI, and long-term thinking around AI research directions.
Formats vary depending on audience and context.