All case studies
Model IQ

compliance, baked in

A model-risk-management platform that lets banks and credit unions govern their AI/ML models for regulators.

Regulatory ComplianceInfrastructure & ServerlessAI Automations
Minutes
to deploy a model POC, down from weeks
0
engineers needed: risk teams ship models themselves
~80%
less audit-prep time, with docs generated automatically

The challenge

Model IQ's customers (banks and credit unions) have to prove to regulators that every AI/ML model is documented, validated, and monitored under SR 26-2 (previously SR 11-7), the NIST AI RMF, and ISO 42001. But standing up a single model meant filing an engineering ticket and waiting weeks, and audit prep was a manual scramble every cycle. Non-technical risk officers were blocked on engineers for nearly everything.

What we built

We designed the platform's AI lifecycle so a risk team could own a model end to end, without writing code.

  • Mapped out the full AI development lifecycle (POC to validated, monitored, production model) with governance gates built into each stage.
  • Built no-code deployment tools so a risk analyst can deploy a POC and configure it for a specific bank without a single engineering ticket.
  • Wired compliance in from day one: every model auto-generates audit-ready documentation mapped to the NIST AI RMF, ISO 42001, and SR 26-2 (previously SR 11-7).
  • Ran each institution's models on isolated, cost-aware serverless infrastructure.

The outcome

POCs that used to take weeks now deploy in minutes, with zero engineers in the loop, and audit prep takes roughly 80% less time because the documentation writes itself. Risk teams finally move at the speed of their own ideas.

Our risk officers stopped waiting on engineering. They deploy models themselves now, and the audit docs are just... there. Red Crayon built exactly the lifecycle we needed.
David Reyes, VP of Model Risk, Model IQ

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