You’re scaling a regulated fintech product
You operate under banking, payments, lending, or investment regulation and need to scale features and markets without breaking controls.
Fintech software & AI delivery
Ship compliant, resilient fintech products faster
- Modernise legacy payments, lending, and trading platforms without disrupting revenue
- Embed AI for risk, fraud, and personalisation with clear governance and controls
- Scale delivery with high-calibre engineering and data talent, on demand
When our fintech expertise is a strong fit
We’re most effective when there is strategic intent, real constraints, and a need to move faster without increasing risk.
You need to industrialise successful PoCs
You have working prototypes in risk, fraud, or analytics that now need production-grade engineering, monitoring, and governance.
Your core systems limit product velocity
Legacy cores or fragmented services are slowing delivery, and you need pragmatic integration or modernisation rather than a risky big-bang rewrite.
You’re building AI capabilities into the roadmap
You want AI embedded in underwriting, pricing, or customer experience, with clear explainability and guardrails for risk and compliance teams.
You need elastic delivery capacity
Your roadmap outstrips internal bandwidth, and you want senior engineers, data specialists, and product talent who can integrate with your teams.
You must prove ROI on technology spend
You’re under pressure to show measurable impact from platforms and AI investments, and need delivery that ties directly to revenue or risk outcomes.
Example use cases
Where we typically help fintech teams
How we work with fintech teams
From regulatory constraints to production-grade fintech systems
We blend product, engineering, data, and compliance expertise to ship secure, auditable systems that regulators, risk teams, and customers can trust.
01
Discover constraints, risks, and opportunities
Align on commercial goals, regulatory obligations, and technical realities across product, risk, and engineering to define a clear delivery scope.
02
Design architecture, controls, and operating model
Shape target architectures, data flows, and control frameworks, including model governance, observability, and SLAs that fit your risk appetite.
03
Build, integrate, and harden
Deliver services, data pipelines, and front-ends using modern engineering practices, with security, testing, and performance baked in from day one.
04
Pilot, certify, and roll out
Run controlled pilots, support security and compliance reviews, tune models and systems, and plan phased rollouts across regions and customer segments.
05
Enable teams and optimise
Transfer knowledge, refine runbooks and monitoring, and embed continuous improvement so your teams can safely evolve the platform after go-live.
Business Outcomes
- Reduced time-to-market for new regulated products and features.
- Lower operational and fraud losses through better data and AI.
- Stronger engineering and data foundations for future growth.
- Clear governance and audit trails that satisfy regulators and partners.
- Flexible access to specialist talent without long hiring cycles.
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