Services

Independent high-level technical analysis of AI systems, research directions.  

This includes assessing feasibility and maturity, identifying technical uncertainty and research risk, and supporting long-term thinking around AI development. Technical risk assesment involves identifying failure modes in generative and causal AI. Reproducibility checks to assess if a startup's demo can be scaled. Alignment of R&D goals with realistic timelines and strategy. 

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.

Provide technical assessment to support investment committees.  No deal participation, endorsement, or legal or financial due-diligence sign-off.

Technical expertise in legal disputes involving Artificial Intelligence, Machine Learning, and Computer Vision.  

Support solicitors and patent attorneys in navigating complex technical questions regarding IP validity and infringement. Specialising in articulating the distinction between abstract mathematical methods and technical contributions

Technical assessment of novelty and inventive step in AI systems for patent validity and prior art determination.  Algorithmic forensics to determine system overlaps for infringement analysis.  Technical explanations with clear, authoritative reports for courts and tribunals on how specific AI architectures function.

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.