SPIN AnalyticsLet’s discuss

Financial Services AI Infrastructure

Turning Risk Intelligence
into Capital Productivity.

RISKROBOT™

SPIN Analytics is building AI-driven infrastructure for banks and asset managers, starting with regulatory credit risk modelling.

Our platform, RISKROBOT™, helps financial institutions turn modelling into actionable risk intelligence—supporting more informed lending, pricing, provisioning and capital allocation within a controlled, explainable framework designed for regulatory scrutiny.

For financial institutions: faster modelling, greater efficiency and a stronger foundation for capital decisions.

For investors: an infrastructure opportunity built around recurring banking needs, with potential to expand across portfolios, institutions and markets.

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Faster models. Less maintenance. Lower costs.

10× faster

Model development and documentation.

90% less

Maintenance time.

70% lower

Total modelling cost.

*Company-reported performance figures. Outcomes depend on implementation scope and comparison baseline.

More capacity for specialist teams to analyse risk, respond to change and support business decisions.

Risk.net Awards — SPIN Analytics — Credit Risk Innovation of the Year 2026

SPIN ANALYTICS · WINNER

Recognised for credit risk innovation.

Risk.net Credit Risk Innovation of the Year 2026

Recognised following independent evaluation by senior banking and risk experts.

Better risk intelligence. Better-informed decisions.

Where to lend. How to price risk. What to provision. Where to allocate capital.

For banks, these decisions depend on the quality of their risk intelligence—and how quickly it reflects changing conditions.

RISKROBOT™ strengthens the modelling and governance processes behind that intelligence.

For asset managers, the broader opportunity extends to credit assessment, investment selection and portfolio risk management.

Our ambition goes beyond modelling efficiency: connecting a clearer understanding of risk with more productive use of capital.

Intelligence institutions can explain.
Governance they can demonstrate.

RISKROBOT™ connects the engineering of regulatory credit risk models with the evidence and governance required to use them confidently throughout their lifecycle.

Traceable decisions.

Capture assumptions, modelling decisions and validation steps alongside supporting evidence.

Governance built into the workflow.

Connect development, documentation, validation and monitoring within a structured environment.

Designed for regulatory scrutiny.

Support internal governance, independent validation and supervisory review with explainable evidence.

Expert judgement at the centre.

Accelerate specialist work while preserving human responsibility for critical decisions.

Develop → Validate → Document → Govern → Monitor → Improve
  1. Develop
  2. Validate
  3. Document
  4. Govern
  5. Monitor
  6. Improve

Speed creates capacity. Governance builds trust.

Risk changes. Institutions need the capacity to respond.

Inflation pressures, shifting interest rates, geopolitical uncertainty and disrupted trade can change repayment capacity, collateral values and portfolio risk.

A model approved yesterday must still be fit for today’s decisions.

Banks need continuous monitoring and timely updates when the evidence calls for them. Each change must also be validated, documented and governed.

When that process takes too long, institutions have less capacity to reassess opportunities, respond to emerging exposures and adjust capital decisions.

RISKROBOT™ is designed to shorten the path from changing conditions to reviewed, documented model updates.

Keeping risk intelligence relevant is essential to staying responsive and competitive.

A recurring need. An expanding infrastructure opportunity.

Credit risk modelling is a continuing institutional responsibility.

Models require monitoring. Assumptions require review. Updates require validation and evidence.

SPIN brings AI-driven engineering and governance together around this recurring work.

We are advancing internationally, including in the United States, through regional presence and partner distribution. Our broader vision is trusted AI-driven infrastructure supporting risk intelligence across banking and asset management.

Starting with regulatory credit risk. Expanding across portfolios, institutions and markets.

Let’s discuss what this could unlock.