Solution · Custom AI
Production-ready AI, built to reuse.
When a productised solution doesn't fit, we build to your specification. Generative AI applications, custom models, AI-embedded product features, and the platform that makes them repeatable. Self-hosted on your infrastructure or managed — your call.
- Platform-thinking
- Self-hosted or managed
- Senior engineers throughout
What we build
Six shapes of work. One principle: production-grade from day one.
Generative AI applications
LLM-powered copilots, knowledge assistants, document processing, chat interfaces. Built on your data, inside your environment.
AI platforms
Reusable platforms where many AI use cases live. Identity, access, content safety, and evaluation all centralised so new assistants take days, not months.
AI-embedded product features
AI features designed directly into your existing software product. Senior engineers throughout. No integration debt handed over.
Workflow automation
End-to-end process automation using AI and integration tooling. Measured by time saved and errors avoided, not by number of automations.
Data engineering
Pipelines, preparation, labelling, and integration with existing systems. The unglamorous work that decides whether AI works at all.
MLOps & Infrastructure
Deployment pipelines, monitoring, model lifecycle management. Production-grade from day one, not retrofitted.
How delivery works
Four phases. Predictable, not theoretical.
- 01
Rapid MVP
Working prototype in 4–8 weeks, designed to prove value before full investment. Scoped tightly, priced fixed, delivered on time.
- 02
Iterative build
Sprint-based cycles with defined milestones and measurable outcomes. You see what we're building as we build it.
- 03
Production delivery
Fully deployed, documented, supportable. Handover runbooks, monitoring dashboards, incident playbooks — the real artefacts of a production system.
- 04
Optional retainer
Ongoing optimisation and governance advisory on a monthly retainer. Or full handover if you prefer self-sufficiency.
How we think about AI platforms
Build once. Reuse across the business.
Most organisations don't need one AI product. They need a platform that can spin up many — securely, in their cloud, with their identity controls. We design for that reuse from day one, so the cost curve flattens as adoption grows.
Frequently asked questions
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How fast is "rapid MVP"?
4–8 weeks end-to-end for a working prototype. Not a Figma file — a deployed application against your data that you can use and evaluate.
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Where do solutions get hosted?
Your choice. Self-hosted on your infrastructure (Azure, AWS, GCP, or on-prem) is our default and our specialism. Managed SaaS is possible where it suits your compliance and data posture.
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Do you integrate with our existing stack?
Yes. We've built against Entra ID / Azure AD, AWS IAM, Okta, SharePoint, Confluence, Salesforce, and a long tail of bespoke internal systems. Integration is a first-class engineering concern, not an afterthought.
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Who owns the IP?
You do. Standard client-owned IP terms. We may retain the right to reuse generic accelerators (document parsers, integration patterns) that aren't specific to your domain.
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Can you work alongside our internal team?
Yes. Many of our engagements are explicitly designed as capability transfer — we lead the first iterations, your team takes over. Measured by how replaceable we become.
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What about post-delivery support?
Monthly retainers cover bug fixes, small enhancements, upgrades, and monitoring oversight. Or full handover to your team with documented runbooks. Both are fine — contact us to scope what suits.
Off-pattern build? That's our day job.
When the productised solutions don't fit, we build to your spec. MVP in 4–8 weeks. Senior engineers throughout.