A focused team of practitioners: platform, advisory, and delivery.
Independent specialists working on one platform.
Building operational AI that runs in production.
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Odokai Ltd is a small group of people who have built and run
software businesses before, working across AI, engineering, and
consulting. We build the governed platform your teams run on, and
we work alongside you when the job is discovery, implementation,
or both.
We operate out of England. The people below shape the company
and do the work.
The leadership and delivery leads you work with on engagements and
product direction.
Lewis Barclay
AI Engineering Leader
Lewis is a London-based software engineer with more than
twenty years of hands-on delivery and leadership experience.
In the last ten years Lewis has helped organisations
including M&S, Gousto, Barclays, and Fidelity
Investments shape and run strong agile software engineering
teams. For the last three years Lewis has been an AI
engineering advocate working to integrate AI and use it as
core part of engineering practice.
Lewis is a London-based software engineer with more than
twenty years of hands-on delivery and leadership experience.
In the last ten years Lewis has helped organisations
including M&S, Gousto, Barclays, and Fidelity
Investments shape and run strong agile software engineering
teams. For the last three years Lewis has been an AI
engineering advocate working to integrate AI and use it as
core part of engineering practice.
Most recently he has focused on innovation and AI
integration with clients such as WPP, Peabody, and Unitary.
A lean and agile practitioner (XP, Scrum, and Kanban), he is
product- and delivery-led, brings a DevOps mindset, and
combines sharp engineering judgement with confident
client-facing communication, lean thinking, and design
awareness.
At Odokai he works on the platform and gives clients
hands-on support and guidance.
David Ivy
Fractional CTO, CEO, CIO
David Ivy is a board-level technology and digital
transformation leader with extensive experience delivering
large-scale SaaS platforms, operational transformation
programmes, and AI-enabled business initiatives across
growth-stage and enterprise environments.
David Ivy is a board-level technology and digital
transformation leader with extensive experience delivering
large-scale SaaS platforms, operational transformation
programmes, and AI-enabled business initiatives across
growth-stage and enterprise environments.
As a fractional executive and adviser, David has operated
across CEO / CTO / COO / CMO and board advisory / NED roles,
helping organisations modernise operations, commercialise
technology platforms, improve governance, and scale digital
capability. As one of the Founders of dotDigital Group PLC,
his background balances commercial views as well as growth
and implementation knowledge.
David specialises in translating complex technology into
commercially valuable, operational outcomes. He works with
organisations moving from fragmented tooling and manual
processes toward governed, scalable AI systems, across
Start-ups, Scale-ups, and Enterprise PLCs.
With experience supporting businesses through turnaround,
optimisation, growth, and exit preparation phases, David
brings a commercially grounded perspective to AI adoption,
operational efficiency, and platform strategy. He is
particularly focused on helping organisations implement AI
safely, pragmatically, and with strong governance and
infrastructure control.
Areas of expertise include:
AI strategy & operational AI transformation
SaaS platforms & product development
Digital transformation & automation
Enterprise architecture & governance
Fractional technology leadership
Board advisory & growth mentoring
Commercial technology strategy
Team building, restructuring & scale-up operations
You can also connect with David via LinkedIn.
Simon Bird
Partner, Advisory
Simon Bird built his first neural network in 1998 while
studying Computer Science at Royal Holloway, University of
London. Written in C++, it attempted to solve a frequency
allocation problem using backpropagation and stochastic
gradient descent. It showed a marginal improvement over
brute-force algorithms, but it was extremely slow to train.
At the time, computers simply did not have the power to run
artificial intelligence at a reasonable speed.
Simon Bird built his first neural network in 1998 while
studying Computer Science at Royal Holloway, University of
London. Written in C++, it attempted to solve a frequency
allocation problem using backpropagation and stochastic
gradient descent. It showed a marginal improvement over
brute-force algorithms, but it was extremely slow to train.
At the time, computers simply did not have the power to run
artificial intelligence at a reasonable speed.
Fast forward 28 years, and things have changed dramatically.
Like many observing the rapid progress of large language
models (LLMs) such as those powering ChatGPT and Gemini,
Simon has been struck by their capabilities. Over the past
18 months, he has focused on bringing himself up to speed
with how and why these systems work and, most importantly,
how they can be used to benefit businesses.
Prior to this, Simon co-founded dotDigital, a marketing
automation and customer data platform. He focused on
technology and served on the board in an advisory capacity
before retraining as a commercial pilot.
After being introduced to Odokai, Simon asked to join the
company in an advisory capacity. He believes the AI landscape today is similar to
the internet in 1999: companies recognised its importance
and knew they needed to get involved, but lacked the skills
and frameworks to use it effectively.
Adrian James
AI Engineering Leader
AJ James, FBCS, is an award-winning technologist, author,
and strategic leader with nearly 30 years of experience
spanning cloud architecture, digital transformation, and
agentic AI. A Fellow of the British Computer Society and
winner of DevOps Leader of the Year at the Computing Digital
Technology Leaders Awards 2019, he has a track record of
leading complex modernisation programmes across highly
regulated and public-sector environments, delivering
measurable reductions in cost and time-to-value.
AJ James, FBCS, is an award-winning technologist, author,
and strategic leader with nearly 30 years of experience
spanning cloud architecture, digital transformation, and
agentic AI. A Fellow of the British Computer Society and
winner of DevOps Leader of the Year at the Computing Digital
Technology Leaders Awards 2019, he has a track record of
leading complex modernisation programmes across highly
regulated and public-sector environments, delivering
measurable reductions in cost and time-to-value. He is the
author of Designed4Devops, a practical framework for digital
transformation at scale, and today focuses on designing and
delivering AI-first platforms and production agentic
workflows that create real business value.
Cliff Wright
CSO
Cliff came into the industry when protecting enterprise data
meant tape libraries and a recovery plan nobody had tested.
Over two decades he watched the problem change shape without
getting easier: virtualisation, cloud, SaaS applications
holding data nobody had thought to back up, and eventually
ransomware, which turned recovery time into an existential
metric. His work centred on cyber resilience: Zero Trust
security, layered protection against attack and insider
threat, and orchestrated recovery for workloads a business
cannot operate without.
Cliff came into the industry when protecting enterprise data
meant tape libraries and a recovery plan nobody had tested.
Over two decades he watched the problem change shape without
getting easier: virtualisation, cloud, SaaS applications
holding data nobody had thought to back up, and eventually
ransomware, which turned recovery time into an existential
metric. His work centred on cyber resilience: Zero Trust
security, layered protection against attack and insider
threat, and orchestrated recovery for workloads a business
cannot operate without.
AI followed a familiar path. Strong demonstrations and
enthusiastic pilots stalled because nobody could answer the
operational questions underneath them: where the data goes,
who can reach which model, what is auditable, and what
happens when an automated process does the wrong thing at
scale. Cliff had spent his career on those questions.
He now advises leadership teams at the decision stage of
evaluating Odokai. He covers what a single governed platform
consolidates, what central control of an approved model
catalogue means in practice, and which process to point it
at first.
Interested in Joining?
Investors & Partners
Odokai is seeking investors and strategic partners as it
brings governed operational AI to organisations worldwide.
If you want to collaborate with Odokai or explore a
partnership, talk to us.
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