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INDUSTRIES / FINANCIAL SERVICES

Finance, built for scrutiny

We help banks, insurers, wealth managers and fintechs modernize core platforms and adopt AI regulators can follow.

In financial services the architecture has to answer to a regulator as well as a customer. Core systems cannot be destabilized, reporting has to be reproducible on request, and any model that touches credit, risk or eligibility has to be explainable. Speed matters, but only on systems that can show their working.

How we help

Standards your organization is held to

We do not hold these certifications on your behalf. We design and document controls so your organization can evidence them against the regimes that apply to it.

Regimes by region

UK: FCA, PRA. EU: DORA, EBA guidelines. UAE: CBUAE, DFSA, ADGM FSRA. US: SEC, FINRA. India: RBI, SEBI. These are the regimes financial services firms answer to. We are not approved or authorized by any of these regulators; we design the reporting and controls that help your organization meet them.

Regulatory reporting obligations

Each supervisory regime sets out what must be reported, in what form and on what cycle. We design data platforms so those submissions can be produced from traceable sources and reproduced on request.

PCI DSS for cardholder data

Where card data is in scope, PCI DSS defines the control expectations for storage, transmission and access. We architect segmentation, key handling and logging so your organization can evidence those controls. The certification itself remains yours to hold.

Audit trail and data residency

Regulated workloads need a defensible record of access and change, and a clear answer on where data physically sits. Both are architectural decisions, made at design time rather than retrofitted before an inspection.

Model governance for AI in decisioning

Any model influencing credit, pricing or risk outcomes needs documented purpose, data provenance, validation, monitoring and a route to challenge a decision. We build those controls alongside the model, not after it. We do not use client data to train or fine-tune models, unless a client asks us to in writing for their own dedicated model.

Enterprise AI, engineered to be trusted

Tell us what you are working on. A senior member of the team replies within one working day.