OUR
WORK
// Sport & Events
AELTC (Wimbledon)
Board AI Strategy
The AELTC Board needed a rigorous understanding of AI capabilities and practical implications for operations, fan experience, and organisational strategy at Wimbledon.
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// Telecommunications
BT
AI Product Engineering
BT required a production-grade Generative AI ecosystem capable of handling millions of customer interactions while maintaining strict brand safety protocols and 99.9% accuracy.
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// Government / Cancer Research
National Cancer Institute
AI Product Build (NanCI)
NCI envisioned an AI-driven application that would give scientists personalised literature recommendations alongside social networking and collaboration features. The cancer research community faces two compounding problems: information overload from the volume of published literature—over 500 new cancer research articles every day—and insufficient tooling for researchers to find and connect with peers in their field.
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// Student Housing
iQ Student Accommodation
Conversational AI Product
iQ operates ~80 buildings across UK university cities. Quality student accommodation goes beyond physical space—iQ needed to deliver a more confident student journey from the very first click, supporting students, residents, and parents with seamless digital experiences.
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// Technology / AI Infrastructure
NanCI Partnership
Deliver the NanCI platform for the National Cancer Institute on Google infrastructure, combining Gemini AI with our production ML systems to serve the global cancer research community.
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// Fashion / E-commerce
Circler Fashion
AI Product Engineering
Circler needed to automatically tag thousands of pre-loved fashion items from photographs and match them to individual user preferences without manual curation.
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// Private Equity
Vespa Capital
Portfolio AI Strategy + Implementation
Vespa needed their portfolio companies to identify concrete AI opportunities and threats, then move from strategy to working software.
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// Genomics / Health Tech
Genomics plc
AI Strategy + Agent Engineering
Genomics plc uses polygenic risk score data to predict disease risk. They needed to automate a painful manual data processing pipeline and solve a long-standing biomedical ontology mapping problem.
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// Healthcare
Acacium Group
AI Privacy Engineering
A major UK healthcare provider needed to use AI services but could not send personally identifiable information to external APIs. They required a reliable anonymisation layer.
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// Media / Broadcasting
Channel 4
Documentary Feature
In 2017, Co-Founder Duncan Anderson was interviewed by Gemma Chan for the Channel 4 documentary "How to Make a Human"—explaining machine learning concepts to a mainstream television audience.
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// Insurance / Financial Services
Phoenix Group
AI Agent Engineering
Phoenix Group needed to improve the speed, quality, and consistency of group risk documentation across multiple business units — a process that was manual, time-intensive, and vulnerable to inconsistency.
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