2010
David Robertson creates the McCaigs brand.
About / Scottish technical studio
McCaigs is Scotland's Elite Technical Studio.
We design and build practical AI systems, automation, websites, internal tools and digital products for startups, SMEs and organisations that need useful software built properly.
What McCaigs is
A hands-on studio for practical engineering.
McCaigs works at the point where business operations, software, AI and commercial judgement meet. The studio focuses on systems that help real businesses handle enquiries, reduce administration, organise information, support customers and move faster without adding unnecessary complexity.
The work is deliberately practical: diagnose the awkward part of the operation, design the simplest reliable route, build with modern tools, evaluate against reality, and improve from evidence.
Founder / Scottish roots
Founded by David Robertson.
David Robertson created the McCaigs brand in 2010. The brand has since developed from early digital work into a Scottish technical studio focused on practical engineering, deterministic systems, AI, automation, websites, internal tools and fast MVPs.
McCaigs is based in Edinburgh, Scotland, and works with startups, SMEs, owner-managed businesses and specialist organisations across Scotland and the wider United Kingdom.
Company timeline
A factual record of the brand's development.
2015
David Robertson wins The Pitch UK Digital Marketing Award.
2016
McCaigs trademark registered.
2025
McCaigs successfully completes the TechScaler Catalyst programme.
Today
McCaigs operates as a Scottish technical studio focused on practical engineering, deterministic systems, AI, automation, websites, internal systems and fast MVP delivery.
What we build
Useful systems for ordinary business problems.
Deterministic AI systems
Business automation
Websites and digital platforms
Internal tools
Fast MVPs
SaaS and product foundations
How we work
Diagnose first. Build what earns its place.
McCaigs starts with the business problem, the evidence, and the constraints. The first useful release is shaped around what will make the operation clearer, faster or easier to run.
Why deterministic systems matter
Do not pay for intelligence when logic is enough.
Not every workflow needs AI. If logic, approved knowledge or a clear interface is enough, the system should use that first. AI is added where it creates practical value, such as summarisation, classification, research or language work.
Start a conversation
Bring us the part that should work better.
A useful first conversation can start with a messy workflow, a website that is not pulling its weight, or an AI opportunity that needs a practical route forward.