Capabilities
We design and deliver production-ready systems, integrating applied AI with full-stack software engineering.
- 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
AI
API
UI
AI
- 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]
API
- 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”}
UI
- 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
Transferable engineering capability across products, platforms, and applied AI.
Address
167–169 Great Portland Street5th Floor, London W1W 5PF