// AI FOR
Enterprise AI Consultancy & Agentic AI Engineering — London
We help enterprises pick the few
AI bets that matter — and get them
into production, not stuck in pilots.
Applied AI Engineering · London · Est. 2022
OUR
WORK
[ CLICK LOGO FOR CASE_STUDY ]
// TESTIMONIAL
PARTNERSHIP
3+ years
Dr Oliver Bogler
Director, NCI's Center for Cancer Training
“I have worked with Barnacle Labs for more than 3 years on a project at the National Cancer Institute (NCI)... they treated the work like a collaboration... if you are looking for a partner in AI, I couldn't recommend them more.”
WHO
WE ARE
// BACKGROUND
Our founders have been building with modern AI for over a decade — from leading AI at IBM Watson to securing early GPT-3 access in 2020.
// THE MISSION
We build production AI systems for high-stakes environments—including the US Federal Government, financial services, global enterprises, and biotech firms. We specialise in the hard parts that quietly derail AI projects, bringing creative problem-solving rooted in experience, not guesswork.
WHAT
WE DO
We help enterprises pick the right AI bets and build the next breakthroughs.
// OUR_OFFERINGS
Your AI Opportunity
You've got a problem that AI could solve. We'll figure out how — or help you find it.
We've built AI systems for telecoms, cancer research, student housing, healthcare, and private equity. We start with your problem and prototype fast — working software in 2 weeks, not slides.
[ LEARN_MORE → ]AI Agents for Your Team
Every person gets an OpenClaw agent. The agents talk to each other.
If your team spends half its day on coordination — emails, handoffs, follow-ups — we can deploy managed AI agents that handle it. Built on OpenClaw, hardened for enterprise, governed from day one.
[ LEARN_MORE → ]The Institutional Context Graph
Your organisation makes thousands of decisions. It remembers almost none of the reasoning.
If your team keeps revisiting old decisions because nobody remembers why they were made, we can build a context graph that captures the reasoning — so anyone can ask and get the full picture.
[ LEARN_MORE → ]The Sovereign Agent Stack
Production AI agents with real memory, running on infrastructure you control.
If your AI ambitions are constrained by data sovereignty or compliance requirements, we can deploy the full agent stack on UK/EU infrastructure — with the same capabilities, none of the jurisdictional risk.
[ LEARN_MORE → ]Executive AI Workshop
Not ready for a build? Start with a conversation.
If your board needs to get aligned on what AI actually means for your business before committing to anything, we run a half-day working session. Live demos, real conversation, prioritised roadmap.
[ LEARN_MORE → ]// OUR_APPROACH
Across every engagement, we work the same way:
Figure It Out
Workshops, straight talk, AI Action Plan + working prototype in 2 weeks.
Build It
Prototype first, lock the design with working code, then ship.
Train Your Team
Leadership, developers, and business teams — hands-on, not lectures.
Guide You Through It
Architecture, models, deployment — we help you avoid the traps.
READ
OUR THOUGHTS
Featured blog posts
BLOG POST
NEWBuilding a Production Multi-Agent System for Document Writing
by Thibault Boutet
Architecture of a briefing generation system using 15 specialized AI agents to transform PDFs into structured documents.
BLOG POST
Building a Reproducible Multimodal Pipeline
by Kevish Napal
Part-1 in a series of posts about proteomics, cancer biology, and AI-driven solutions for oncology.
BLOG POST
Understanding Cancer and Telomerase: From Biology to New Treatments
by Kevish Napal
Part-2 in a series of posts about proteomics, cancer biology, and AI-driven solutions for oncology.
BLOG POST
Mean Pooling Beats Attention: Predicting Telomerase Activity from Whole-Slide Images
by Kevish Napal
Part-3 in a series of posts about proteomics, cancer biology, and AI-driven solutions for oncology.
BLOG POST
Understanding and Processing CT Imaging for Stroke Detection
by William Auroux
A practical guide to turning raw brain CT into training-ready data.
BLOG POST
The Dimension Dilemma: Why 2.5D Models Outperform 3D CNNs for Stroke Classification
by William Auroux
Lessons & Experiments on training deep learning models on 3D medical data.
AI FROM THE
TRENCHES
Conversations with leaders who've actually led AI initiatives
Can a Foundation Model Read the Human Brain?
with Kris Pahuja from Piramidal
Can AI Save Scientists From Information Overload?
with Dr Oliver Bogler
From IBM Watson to Barnacle Labs: Lessons From Building AI Too Early
with Duncan Anderson and JD Wuarin
Inside Shopify’s Scout: The scrappy AI tool that went all the way to the boardroom
with Rich Brown from Shopify