APPROVED INTELLIGENCE™ PLATFORM

Our Approved Intelligence™ Platform delivers a comprehensive, end-to-end testing ecosystem designed to meet the stringent demands of operationally critical settings. Engineered with a modular architecture, it empowers you to rapidly deploy AI testing capabilities that align precisely with mission-critical use cases — offering greater flexibility and agility compared to traditional monolithic systems.

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1.

Science-driven, end-to-end testing workflows

Science-driven, end-to-end testing workflows

From test set integrity and model robustness to performance and compliance, our scientifically designed workflows provide a structured, repeated evaluation necessary for reliable AI deployment.

2.

Bridge governance, technical, and business requirements

Bridge governance, technical, and business requirements

Align diverse stakeholder groups by translating business and governance requirements into test cases to define “good-enough testing” and accelerate go or no-go decisions on AI deployment.

3.

Use-case centric testing for last mile confidence

Use-case centric testing for last mile confidence

Each module is purpose-built to address the specific challenges and requirements of the use case. Start with core testing modules and expand seamlessly as your AI portfolio grows, or new use cases emerge.

Features

Enable alignment between business, governance, and technical teams on desired AI outcomes

Enable alignment between business, governance, and technical teams on desired AI outcomes

  • Define what is “good enough” AI performance and risk management
  • Map testable criteria to global AI regulations, frameworks, and standards
Multi-modal synthetic data generation

Multi-modal synthetic data generation

  • Reduce the need for additional test set collection
  • Augment test sets to capture complex, real-world scenarios across multiple data types
Trigger on-demand technical tests to evaluate business, governance, and technical dimensions effortlessly

Trigger on-demand technical tests to evaluate business, governance, and technical dimensions effortlessly

  • Faster identification and resolution of gaps in AI performance, safety, and security
  • Carry out technical and non-technical alignment checks
Enable clear decision workflows to accelerate AI deployment

Enable clear decision workflows to accelerate AI deployment

  • Visualise and interpret test results against desired AI use case outcomes
  • Generate approval reports to sign off for AI deployment
Simulate to validate AI models and decision workflows

Simulate to validate AI models and decision workflows

  • Generate realistic, controlled environments to replicate complex user behaviours and operational scenarios
  • Accelerate risk identification and performance optimisation

CASE STUDY

Evaluating Accuracy and Preventing Misuse in a GenAI Anti-Money Laundering Assistant

As part of the Global AI Assurance Pilot launched by IMDA and the AI Verify Foundation, Resaro conducted independent testing of Tookitaki’s FinMate, a GenAI assistant designed to streamline anti-money laundering (AML) investigations.

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See How Modular AI Testing
Works in the Real World

Our modular AI testing framework is designed for flexibility — adapting to a wide range of mission-critical systems and operational contexts. But how does it perform under pressure? Explore our real-world defence, public safety, and critical civil use cases to see how rigorous, scenario-driven testing helps uncover hidden risks, validate system performance, and strengthen operational trust.

Use Cases