real-world systems
for high-stakes environments
Capabilities
Capabilities cover full-stack software engineering and applied AI in production environments.
- Applied AI and machine learning
- Optimisation and simulation
- Full-stack software development
- Backend services and APIs
- Cloud-native architecture
- UI and UX for complex tools
How we work
Senior-led engineering across systems architecture and platform development, from feasibility to deployment. Optimised for performance, security and scale.
- def choose_action(state, candidates, constraints, score):
- feasible = []
- for a in candidates:
- if all(c.ok(state, a) for c in constraints):
- feasible.append(a)
- if not feasible:
- return {“type”: “WAIT”, “reason”: “no_feasible_action”}
- ranked = sorted(
- feasible,
- key=lambda a: score(state, a),
- reverse=True,
- )
- return ranked[0]
- def run_pipeline(run_id, steps, store, log):
- ctx = {“run_id”: run_id}
- for step in steps:
- log.info(“step.start”, step=step.name, **ctx)
- out = step.execute(ctx)
- store.put(run_id, step.name, out)
- ctx[step.name] = out
- log.info(“step.ok”, step=step.name, **ctx)
- return {“run_id”: run_id, “status”: “ok”}
- export const load = async () => {
- const res = await fetch(“/api/scenarios”);
- return { scenarios: await res.json() };
- };
- export const actions = {
- create: async ({ request }) => {
- const data = Object.fromEntries(await request.formData());
- await fetch(“/api/scenarios”, {
- method: “POST”,
- headers: { “content-type”: “application/json” },
- body: JSON.stringify(data),
- });
- }
- };
What we deliver
Engineering delivered across platforms, systems, and applied AI.
Enterprise systems and workflow
Complex internal tools, automation, integrations, and data-rich workflows
Core systems and architecture
System architecture, data models, APIs, storage, and performance-critical components
Complex systems with applied AI
Optimisation, prediction, and constraint-aware AI embedded within production systems
R&D and innovation
Feasibility studies, prototypes, and research-led engineering for real-world environments
Platforms and products
Full-stack software engineering for platforms and products, from early prototypes through to production systems
Enterprise platform adopted by leading AI research laboratoryEngineered a production enterprise platform adopted by a leading AI research laboratory as a reference for enterprise-class system architecture and engineering patterns.
1
AI standards
Contributed applied engineering expertise to AI standards work with the British Standards Institution (BSI), informing best practice for applied AI systems.
2
UK Government innovation delivery
Delivery of real-world innovation projects for the UK Government’s national innovation agency, spanning applied AI, optimisation, and complex system design.
3
National award recognition
Independent national recognition for innovation and system design through highly competitive evaluation.
4
Complex operational environments
Systems engineering across complex commercial, public, and research-led operational environments, with emphasis on performance, security, and scale.
5
Experience
Experience includes engineering a production enterprise platform adopted by a leading AI research laboratory as a reference for enterprise-class system architecture, contributing applied engineering expertise to AI assurance with the British Standards Institution (BSI), and delivering real-world innovation projects for the UK Government’s national innovation agency.
Work has received national recognition for innovation and system design and extends across commercial, public, and research-led environments.
