Scalarix builds agentic AI systems for FinTech and Banking: risk models, pricing engines, and compliance-safe automation, shipped by engineers who've actually worked inside regulated balance sheets. Agentic AI is the newest layer we build, sitting on top of 15 years of foundational delivery in digital rebuild, data engineering, and cloud adoption inside regulated institutions.
A live prototype of the interaction pattern we design for clients. Ask it about risk modelling, pricing engines, compliance, or how an engagement actually runs.
Six capability areas, each scoped to the way regulated financial institutions actually buy and govern technology. Built on 15 years of digital rebuild, data engineering, and cloud adoption underneath the agentic AI layer.
Strategy and opportunity mapping across underwriting, servicing, and compliance workflows, so you know where agentic AI earns its place on the roadmap and where it doesn't.
Explore →Core modernisation, agentic workflow design, and safe-AI rollout governance for institutions operating under real regulatory weight.
Explore →Credit risk, fraud, and exposure models built and validated with model-risk-management rigor. Back-tested, documented, and ready for sign-off, not just a notebook.
Explore →Dynamic, risk-adjusted pricing engines for lending, insurance, and deposit products, built to reprice continuously instead of on a quarterly cycle.
Explore →LLM-driven agents that parse Open Banking and Account Aggregator feeds into underwriting-ready decisions in under 60 seconds.
Explore →Automated PII-scrubbing proxies and compliance-by-design pipelines for GDPR, FCA, and PRA environments. It's the mandatory front door for every prompt an internal agent sends to a model.
Explore →Every system below is designed to run inside a regulated environment. Some are shipped and delivered, others are engagement blueprints for the problems we hear most from FinTech and Banking CXOs, and each one is labelled so you know which is which.
Six steps, not six months of workshops. Click a row to expand.
Scope the decision you want to automate and map it against your existing model-risk and compliance framework before a line of code is written.
Bounded, auditable agent workflows, not a single black-box model, so every decision has a traceable path back to its inputs.
PII-scrubbing, GDPR / FCA / PRA-aligned pipelines, and zero-trust data handling built into the architecture from day one, not bolted on before audit.
A small, senior, remote-first pod embeds directly with your team for the build. No large bench, no extra account-management layer.
Back-testing, shadow-mode validation, and documentation your model-risk function can actually sign off on.
Your team owns the system at the end. It's documented, monitored, and ready for internal iteration, not dependent on us forever.
We only work in regulated financial environments. Every build assumes model risk, FCA/PRA expectations, and PII handling from day one, not as an afterthought bolted on before audit.
Agentic AI sits on top of 15 years of digital rebuild, data engineering, and cloud adoption. If your data platform or core isn't AI-ready yet, we scope that foundation first instead of bolting agents onto something that can't support them.
Yes. Engagements are designed to sit on top of existing cores via APIs and Open Banking-style integration layers, not a rip-and-replace.
Most engagements open with a scoped Discovery & Model-Risk Mapping phase, typically four to six weeks, before any production build begins.
It's scoped to the work: a fixed-fee Discovery & Roadmap, a retainer-based Embedded Delivery Pod, or a fixed-scope build. Share the brief and we'll come back with a structure.
Yes. It's a live agent backed by a language model, scoped to Scalarix's own services and approach through a system prompt, not a generic assistant. If the live connection is ever down it quietly falls back to a small local FAQ, so it always answers something sensible.
nick@scalarix.uk, or use the contact section below.
Remote-first, UK-anchored, working with FinTech and Banking teams across London, Manchester, and beyond. Tell us the decision you want to automate.