// 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 · Founded by the former European CTO of IBM Watson
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.
// ENTERPRISE_AI
HOW
WE HELP ENTERPRISES PUT AI TO WORK
We help organisations move from AI ambition to production — especially where workflows are complex, context matters, and control is non-negotiable.
// OUR_APPROACH
Find the opportunity
Identify the AI bets worth making, where value will come from, and what it will take to deploy responsibly.
Build the system
Design and ship production AI systems that work inside real business processes, not just demos.
Make it stick
Equip your team to govern, own, and evolve what gets built so capability lasts beyond the initial engagement.
// OUR_SPECIALISMS
Where Barnacle goes deep
We start with your workflows, constraints and priorities, then shape the right solution for your environment.
01Human-agent collaboration systems
02Autonomous agents
03Agent memory systems & context graphs
04Sovereign AI deployments
Using our proprietary research assets Minerva and Alexandria to move from prototype to production faster.
[ EXPLORE_OUR_SERVICES → ]// DEFINE THE PROBLEM BEFORE YOU COMMIT THE CODE
Executive AI Workshop
01Shared view of AI across your leadership team
023–5 prioritised opportunities ranked by impact and feasibility
03Clear criteria for where to start — and where not to
Not a briefing, not a pitch, not death-by-slides. Live demos, real conversation, and a roadmap you can actually act on.
[ LEARN_MORE → ]// GET_STARTED
Not sure where to start?
Talk to an engineer about your workflows, constraints, and opportunities — and we'll show you where we'd focus first.
WHY
ENTERPRISE TEAMS CHOOSE US
Production-First
Working software early, not slides.
High-Stakes Experience
Government, financial services, telecoms, healthcare, biotech.
Built for Handover
Your team can own and evolve what we build.
Technical Depth
Agentic systems, memory, orchestration, guardrails.
Beyond the Brief
Creative problem-solving, not order-taking.
READ
OUR THOUGHTS
Thought leadership & research
GUIDE
AI Agents for Enterprise
A strategic guide for enterprise leaders on building AI agents at scale.
[ READ → ]
GUIDE
Agent Memory Systems
Giving agents real memory — beyond context windows and vector databases.
[ READ → ]
GUIDE
The OpenClaw Ecosystem
Inside the fastest-growing open-source agent framework and what it means for enterprise.
[ READ → ]
GUIDE
Sovereign AI & Data Privacy
AI privacy, compliance, and data sovereignty for regulated environments.
[ READ → ]
// FROM_THE_BLOG
The Missing Piece of the Claude Code Workflow: Isolated Worktree Databases
JD Wuarin
OpenClaw and the Programmable Soul
Duncan Anderson
Building AI products means managing API costs. Here's what actually worked
Thibault Boutet
Building a Production Multi-Agent System for Document Writing
Thibault Boutet
Mean Pooling Beats Attention: Predicting Telomerase Activity from Whole-Slide Images
Kevish Napal
The Dimension Dilemma: Why 2.5D Models Outperform 3D CNNs for Stroke Classification
William Auroux
Understanding and Processing CT Imaging for Stroke Detection
William Auroux
Building a Reproducible Multimodal Pipeline
Kevish Napal
Understanding Cancer and Telomerase: From Biology to New Treatments
Kevish Napal
The 4 Levels of AI Agents: When to Use Workflows vs Autonomous Systems
Duncan Anderson
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