I build AI products that are honest about what they are.
By day I lecture in supply chain and project management in Cambridge and Essex. The rest
of the time I build and deploy the tools I wish existed: a digital twin for a brewery, a
coach for dissertations, a mediator that keeps your private life private, and a course
on who to believe.
I've driven electric since 2014 and write about it a lot; my analysis has been cited by
the House of Lords and published by the
World Economic Forum. The rest ends up on the
blog, alongside the odd resurrected PS3.
Funded · Live pilot · Spinout track
BrewAI
Digital twins of working breweries that show brewers where the energy goes, and how to cut it.
What it is
BrewAI turns a working brewery into a live digital twin. Circuit-level sensor and energy data, captured continuously for nearly three years, feeds AI models that let brewers simulate changes, cut energy and carbon, and produce verifiable emissions data they can actually stand behind.
The interesting bit
Most sustainability AI runs on estimates and annual averages. BrewAI has almost three years of continuous, circuit-level energy data from a live brewery, down to individual pieces of equipment. There's no shortcut to data like that, you have to collect it day by day.
Role
Co-founder and Technical Lead. Designed the architecture, data pipeline, models and product from first prototype onward.
Proof points
Backed by Innovate UK's iCURe programme (Stage 3) and EIT
~3 years of continuous circuit-level sensor and energy data
Energy intelligence - the 14-day forecast, warts and all (worst fold: 38.1% MAPE)
Ask BrewAI - natural-language queries over the brewery's real data
MVP · In discussion with HEIs
Ship My Dissertation
Project management built for the one big project most undergraduates have never done before.
What it is
Ship My Dissertation gives students a plan, milestones and AI-guided support for the undergraduate dissertation, a process that usually runs on panic and a January all-nighter. It treats the dissertation as what it is: a real project most students have never been taught to run. It's a working MVP, and I'm now talking to universities about pilots.
The interesting bit
Fifteen years of teaching project management went into this, and I wrote the code as well. I didn't have to describe the tool to a developer and hope, I could just build it.
The AI Transparency Log - the AI helped plan the project, never wrote a word
Weekly Check-in - self reporting that the coaching is built on
Closed Beta · Self-hosted core
Harmony Mediator
A privacy-first AI relationship mediator. The intimate conversations stay on a self-hosted model.
What it is
Each partner talks privately to a neutral AI mediator, which works out what matters to the other person and returns separate guidance to each side. Neither party ever sees the other's raw words, a caucus model borrowed from professional mediation. The mediator core runs on a self-hosted, open-weight LLM so intimate conversations never leave home turf, with frontier models reserved only for specific safety-critical roles.
The interesting bit
Anything intimate stays on a local, open-weight model. Frontier models come in role by role, only where safety genuinely needs them. And the caucus design means there's just no route for one partner's words to reach the other.
Role
Founder and Architect.
Proof points
Caucus model: neither partner ever sees the other's actual words
Mediator core runs on a local, open-weight LLM
Frontier models only for specific safety-critical roles
Encrypted in transit and at rest · single trusted operator · minimal retention
The caucus model - two private conversations, one mediator in the middle
In Delivery (Year 2) · E-learning next
Who Can You Trust?
An interdisciplinary module on working out who to trust, now that deepfakes, scam reviews and AI slop are everywhere.
What it is
An eleven-week online module about deciding what to believe, when a deepfake, a five-star scam review and a friend's hot take can all land in your feed inside five minutes. Fully online, fully interdisciplinary, open to any student on any course, with no exam: students build a real analysis of a manipulation case and reflect on it. Now in its second year at ARU, and being packaged as standalone e-learning.
The interesting bit
Because it's fully online and open to any course, any student at an institution can take it, and there's no exam to timetable: assessment is a real manipulation-case analysis instead. It's been through one full cohort at ARU already, with the student feedback to show for it.
Role
Designer and Lecturer.
Proof points
Eleven-week module, in its second year at ARU
Fully online, interdisciplinary, open to any course
Authentic assessment (manipulation-case analysis plus reflective essay), no exam
E-learning packaging planned
“I went in half-assed, convinced I knew how to sniff out the lie already. I was wrong.”
Week 3 - “Seven levers that open the System 1 doors”
Week 3 - “Trust you don't deserve: the acquisition protocol”
Recognition
Research, policy & public engagement
Alongside the products above, I research and write about supply chains, automotive
manufacturing, sustainable transport, innovation, and how people decide what to trust.
That work has turned up in academic journals, international publications and UK
parliamentary research.
Parliamentary research · July 2023
Cited by the House of Lords Library
My analysis of the UK's electric vehicle manufacturing capability was cited and quoted
in the House of Lords Library briefing Charging ahead? Future of the UK car
industry, in its discussion of international competition and the switch to
electric vehicles.
Two articles I wrote or co-wrote for The Conversation were later published by
the World Economic Forum, covering electric vehicle supply shortages, net zero targets,
and how electric cars could support the grid through vehicle-to-grid charging.
I co-authored a study of electric vehicle adoption across six commercial fleet
operators in the East of England. Published in Transportation Research Part D:
Transport and Environment, it combines cost modelling, interviews and stakeholder
evidence to look at the financial, organisational and practical hurdles of electrifying
a fleet.
Nyame-Asiamah, F., Shaw, B. and Stacey, T. (2025). Cohered model of adopting electric
vehicle fleets in the East of England. Transportation Research Part D, 146,
104897.
I teach supply chain, operations and project management at Anglia Ruskin University,
plus an interdisciplinary module on how people decide what, and whom, to trust. Most of
it draws directly on the industry and technology work elsewhere on this page.
Supply chain, operations and project management
Fifteen years of teaching the things I still do for a living: automotive supply chains,
lean manufacturing, quality management and running real projects. I teach Sustainable
Supply Chains at postgraduate level and supervise postgraduate projects and
dissertations. My ARU profile lists research and supervision expertise in supply chain
management, automotive design and manufacturing, quality management, project management
and information technology.
Sustainable Supply Chains (postgraduate)
Supply Chain Management
Project Management
Operations Management
Sustainable Transportation
Automotive Supply Chains
Lean Manufacturing
Quality Management
Business Process Improvement
Postgraduate Supervision
Who Can You Trust?
I also teach Who Can You Trust?, an interdisciplinary module on how trust is
built, lost and rebuilt: misinformation, technology, privacy and surveillance, and how
people decide which sources, institutions and other people deserve it. It is open to
any student on any course, which is why it also appears as the fourth project above.
My industry-facing work has included lead engineer training, project management
development and Knowledge Transfer Partnership supervision with the automotive
engineering consultancy Bertrandt UK.
Lead Engineer Training
Project Management in Action
Knowledge Transfer Partnership supervision
Bertrandt UK
Academic and innovation panels
Invited to judge as well as teach: assessing student and graduate business ideas at
ARU's AdVantage Pitch, and sitting on the Pitch Day jury for the UCBM Academy
International Bootcamp in Cambridge, evaluating team projects from its intensive
programme in technology, innovation and project-based learning.
ARU AdVantage PitchJudging panel member · Anglia Ruskin University · 15 January 2025
UCBM Academy International BootcampPitch Day jury · CambridgeProgramme details ↗
What students say
“I emailed him the other night with questions about the assignment and he responded within hours, which is really a massive thing at this university. It is often difficult to contact staff for help. This is a massive deal for me personally.”
BSc student, ARU, 2025
“Tom is very engaging and clearly passionate about what he teaches.”
MSc student, ARU, 2025
“Tom has been a great module leader, he makes the classes extremely engaging and actually enjoyable to join.”
BSc student, ARU, 2025
Credibility
A selection of the things I do and who I've worked with…
30+
BBC TV & radio appearances (automotive and EV)
6 yrs
Vice President, Tesla Owners UK
12 yrs
EV driver since 2014
10+ yrs
Senior Lecturer, Anglia Ruskin University
MSc
Computer Science · FHEA · MBCS
2012
STEM Ambassador since · Essex County STEM Award 2013
2022-2026
Speaker: Everything Electric Amsterdam · Supercharged UK
I build AI products, lecture at Anglia Ruskin University, and have spent over a decade
in the EV and automotive world.
All of it is technology that has to work in the real world: a brewery's carbon data, a
student's first big project, the future of electric transport. MSc in Computer Science,
Fellow of the HEA, Member of the BCS.