About Sidekraft
We build AI that works in production. Not slideware.
Sidekraft exists because most enterprise AI never makes it out of the pilot. The technology is ready. What is usually missing is the engineering discipline to ship it, the governance to own it, and the enablement to spread it across the business. That is the work we do, end to end, model-agnostic.
Background
Built in regulated environments. Shipped to production.
Platform Engineer
University of Manchester
Built and governed an enterprise AI platform supporting 300+ use cases across departments. Designed adoption frameworks, data pipelines, content filtering, adversarial testing, and compliance aligned to the EU AI Act and NIST AI RMF. The foundation for understanding what it takes to make AI work at scale inside a real organisation.
DevSecOps Engineer
NatWest
DevSecOps in regulated financial services. Infrastructure as code, CI/CD pipelines, security automation, and compliance tooling across the cloud. In banking, every system must be auditable, every data flow governed, every access control documented. That discipline applies to everything we build.
Our approach
Build things that work.
We start with production, not proofs of concept. We build AI like software: version-controlled, tested, monitored, and governed. We deploy it in your environment, on your data, with the model that fits the job, and we make sure your own teams can build on it long after we are gone. Engineering-first. Ownership-focused. Model-agnostic.
Expertise
Start here
Book a call. We will show you what production AI looks like for your business.
Tell us where you are: stalled pilots, a platform you are evaluating, or teams you want building. We will map the highest-value use cases and show you a realistic path to production. No obligation, no slides.