UK fintech AI development for London neobanks, lenders, and insurtechs.

No, and we would not pretend to be. Aiinfox is an AI development company; we are not authorised under the FCA's Part 4A permissions regime and we do not provide regulated financial services. What we do is build AI systems for FCA-authorised firms in a way that respects the firm's own regulatory perimeter — SM&CR-aware audit logs so the Senior Manager accountable for the system has the evidence trail they need, deterministic-output mode for regulator-facing decisions, refusal layers on out-of-scope queries that could constitute regulated advice, and DPIAs run for any processing that triggers Article 35. We work alongside your compliance function, your DPO, and your MLRO; we do not replace any of them. Any AI vendor that claims an FCA certification on a marketing page is hoping you do not read the FCA Handbook.

The DPA covers the UK GDPR Article 28 obligations: processing only on documented instructions from the controller, confidentiality of personnel, security of processing, sub-processor management with controller approval, assistance with data subject rights requests (SARs, erasure, portability, objection), breach notification timing, deletion or return of personal data at the end of the engagement, and audit rights. International transfer is covered by the UK International Data Transfer Addendum or the EU Standard Contractual Clauses with the UK addendum, depending on the data flow. The DPA is signed before any personal data is shared — typically before kickoff. We work from your template or provide ours. For FCA-supervised engagements we layer your firm's specific outsourcing controls (SYSC 8 / SYSC 13) on top.

Inside your AWS, Azure, or GCP account by default, in a UK or EU region you specify — AWS London (eu-west-2), Azure UK South, Azure UK West, GCP europe-west2 (London), or europe-west1 / europe-west3 (EU) when EU residency is acceptable. For inference, you have three options. One: managed LLMs pinned to UK or EU regions — Anthropic Claude via AWS Bedrock with EU-region availability, OpenAI via Azure OpenAI Service with UK South availability. Two: self-hosted Llama 3 or 3.1 on vLLM inside your VPC — zero third-party LLM processing of customer data, full control of logging and retention. Three: hybrid — non-personal-data prompts route to managed LLMs, personal-data-bearing prompts route to self-hosted Llama. We do not silently route UK personal data through US endpoints whilst the international transfer mechanism is undocumented.

For any deployment where the AI output materially affects an individual — credit acceptance, fraud disposition, AML SAR triggers, claim acceptance, collections strategy — we design human-in-the-loop patterns into the system from week one. The model produces a recommendation with the prompt version, retrieval sources, and confidence score; a human approves; the audit log records both. We provide 'meaningful information about the logic' as required under UK GDPR Article 22 by recording exactly that chain, so when a customer exercises their right to an explanation, you have one to give. For deployments that genuinely require solely automated decisions, we run the explicit DPIA, document the lawful basis under Article 22(2), and design the right-to-contest workflow before launch — never after the first complaint to the Financial Ombudsman.

Yes, and for regulator-facing decisions it is the default. For credit decisioning, AML disposition, fraud flagging, claim acceptance, and any model output that becomes evidence in a regulatory file, we run the LLM in deterministic mode with temperature=0, pinned model version, pinned prompt version logged per output, and pinned retrieval sources. The same input plus the same model version plus the same prompt version always produces the same output, and the full chain is reproducible from the audit log months or years later. Non-determinism is reserved for conversational and copilot use cases where it is acceptable. For voice and chat customer service we run with slight non-determinism but log the full chain so any disputed turn is reproducible to the byte.

Strong. India Standard Time is GMT+5:30, which gives roughly four to five hours of native daily overlap with UK business hours — our 1:30pm IST is your 8am GMT, our 6:30pm IST is your 1pm GMT. Daily standups, twice-weekly demos, and most ad-hoc problem-solving land inside that window without late-night calls on either side. For UK clients who prefer afternoon-onwards working, we can extend coverage to 8pm IST (2:30pm GMT) on a planned cadence. Written async updates land before your standup. The overlap is one of the reasons we work well with London fintech teams — synchronous time genuinely exists every weekday, which matters when an incident on a regulated workflow lands at 11am UK time.

Senior engineering rates at Aiinfox land roughly 30 to 50 percent below equivalent London fintech AI consultancies — useful, but it is not the headline. The headline is the delivery model: senior engineers only, fixed-price six-week scope, overrun cost on us if we miss for reasons on our side, DPA in hand before kickoff. Most London fintech consultancies bill timesheets, run multi-month discovery whilst City-rate cards eat the runway, and either churn senior staff onto bigger accounts mid-engagement or staff a junior pool behind a senior partner nameplate. We bill shipped systems; the engineer on your kickoff call writes your code through launch. For UK fintech clients, invoicing is in GBP via bank transfer or USD via wire.

Yes — UK fintech takeover audits are routine. Step one is a regulatory data-flow audit: where does customer personal data actually touch storage, inference, and logging, and which of those endpoints has a documented lawful basis, transfer mechanism, and SM&CR accountability owner? Step two is reading the code, prompts, evals (if any), refusal layer, audit-log schema, and the deterministic-output guarantees (if any) for regulator-facing decisions. Step three is shipping the smallest valuable change to prove the system is operable, then the longer-term plan — incremental remediation, parallel rebuild, or shutdown. Most takeovers we see did not need a full rewrite; they needed a documented lawful basis, a missing DPIA, SM&CR-traceable audit logs, and deterministic mode wired into the regulator-facing path.