AI-Native Development · London
We build products where AI is the architecture, not a feature flag. Agentic workflows, retrieval, evals and cost controls, shipped to production for London teams. Not a demo. A system your engineers own.
Trusted by teams across Australia, North America and beyond
Sound familiar?
AI work in London has to satisfy two audiences: a business that wants it live this quarter and a regulator that wants to know exactly how it reaches its decisions. We build for both, with evaluation and audit trails your risk team can read.
London is Europe’s financial capital. Banks, insurers and the Lloyd’s market sit beside one of the deepest fintech scenes in the world, and the FCA sets the bar for all of it.
1"We bolted a chatbot onto our product. It works in the demo and falls over with real users."
2"Everyone says add AI. Nobody can tell us what to build, what it costs to run, or how we would know it works."
3"Our prototype has no evals, no guardrails and no observability. We cannot ship it and sleep."
4"Our token bill keeps climbing and we cannot tell which features or models drive it."
5"We need an agent that does real work across our systems, not a wrapper around one prompt."
What we do
Every engagement starts with a 30-minute call. If we cannot tell you something useful in that window, we do not take the work on.
We design the product around the model: where AI sits, where plain code sits, and where a human stays in the loop.
Agents that take real action across your systems, with safeguards that stop anything expensive or irreversible.
Chunking, hybrid search and re-ranking, plus the evals that prove answers come from your data.
Tracing and quality monitoring, so regressions are caught before your customers find them.
The large model where it earns its keep, smaller ones where it does not, and budgets wired in from day one.
Streaming, citations and graceful failure, so people trust the feature instead of abandoning it.
Outcomes
We measure ourselves on what your team does differently afterwards, not on hours billed.
From idea to an evaluated, working prototype your team can test with real data.
Every AI feature ships with evals and tracing, so quality is a number you watch.
Typical inference cost reduction once model routing and caching are in place.
Code lands in your repository with your engineers, not in a vendor sandbox.
How we engage
Two weeks to a working, evaluated prototype of your highest-value AI feature, with the architecture documented. Fixed scope, fixed fee.
from £10K
Get a proposalSix to ten weeks to a production AI feature or product: agents, retrieval, evals, observability and cost controls, in your repo.
from £50K
Get a proposalA squad that builds alongside your engineers and leaves them able to run it. Two to four days a week, quarterly outcomes.
from £12K/mo
Get a proposalCompliance and data
We design for UK GDPR and the Data Protection Act 2018, FCA and PRA operational resilience rules, the Consumer Duty and ICO guidance on AI, plus the EU AI Act where you sell into Europe.
We are headquartered in Sydney and work with London teams remote-first, with overlapping hours every day and visits for kickoff and key milestones.
Also in London
Questions
Straight answers to what London teams ask before they book.
We are headquartered in Sydney and work with London teams remote-first, with overlapping hours every day and visits for kickoff and key milestones. We work with teams across The City, Canary Wharf, Shoreditch and King’s Cross.
A two-week AI-Native Sprint can start the Monday after the scoping call. Larger engagements usually begin one to two weeks out.
Yes. We contract and price in GBP. We design for UK GDPR and the Data Protection Act 2018, FCA and PRA operational resilience rules, the Consumer Duty and ICO guidance on AI, plus the EU AI Act where you sell into Europe.
We are model-agnostic: Claude, GPT, Llama and open-weight models, routed on cost and capability. We do not resell one vendor's stack.
We hand it over. Code lives in your repo, the architecture is documented, and your team can run and extend it without us.
Yes. Explainable outputs, human review where it matters, evaluation suites and full audit trails, documented for your risk and compliance teams.
Yes. Document and submission agents for underwriting and claims, built around how brokers and syndicates actually work.
Both, and we never advise without being willing to build. If the answer is Apache Superset, we stand it up. If it is a senior hire, we write the spec and sit on the panel.
Start a conversation
Tell us what you are weighing up. We reply within one business day, in London time.
We reply within one business day.