AI Applications & Solutions Engineering
AI Architecture & Design
AI architecture & design for robust solutions. Plan, structure and optimise your AI systems for performance and compliance.
Why AI architecture matters
Deploying AI in production requires more than a clever model.
Without an appropriate system architecture, data pipelines break, models become unmaintainable and compliance is jeopardised.
A well‑designed architecture ensures your AI system is scalable, secure and aligned with business goals from day one.
What I offer
I help founders and teams move from early-stage ideas to market-ready AI and Web3 products — combining strategic clarity with hands-on build and launch support.
Architecture planning & design
I map out your AI system’s components, data flows and deployment environments to ensure reliability and scalability.
Framework & tool selection
I help you choose the right ML libraries, orchestration tools and infrastructure for your use case, balancing flexibility and manageability.
Data pipeline & governance
I design secure data pipelines with proper governance, ensuring data quality, privacy and compliance throughout the lifecycle.
My process
A lean, flexible approach built to move fast — from idea to live product.
Assess
Understand your business objectives, data sources and existing systems to identify architectural requirements.
Design
Develop a blueprint covering infrastructure, frameworks, data flows and compliance considerations.
Validate
Review the architecture with stakeholders, iterate based on feedback and prepare for implementation.
Nicola Gunby
Co-founder at CLIQ
Who I work with
Organisations planning to launch or refactor AI solutions who need a solid architectural foundation.
This includes startups seeking scalable designs and established teams migrating to AI‑enabled systems.
Recent blogs
Insights
Stay ahead of the curve with fresh thinking from the field.
Paul Saxton
Co-Founder & CTO at 5Y
Contact
Book a call
Ready to design it right?