SAGA

AI Oversight Reimagined

High-speed, deeply insightful, model-agnostic analysis and governance for predictive AI.

Reimagine how to analyze, monitor, and validate your non-generative AI.
Security and Efficiency meet Governance and Compliance. SAGA combines both into a single tool for accelerated AI development and deployment.

Painless Integration

Seamlessly incorporate SAGA's insights and simulations into your existing workflows via API.

Natural Language Reporting

Solve the communication gap that often exists between data science teams and other stakeholders in an organization with reports for both technical and non-technical teams

Framework Mapping

Map controls to specific regulatory frameworks and assess compliance, critical for organizations in heavily regulated industries

Manage 3rd Party Risk

Manage risks associated with third-party AI models, which is increasingly important as organizations rely more on external AI services and tools

Independent and Auditable

SAGA is fully decoupled from the AI operations environment, serving as an independent and fully auditable system of record, offering crucial evidence for safe and compliant AI use.

Use cases

Quickly process large datasets, provide in-depth insights, and support ongoing monitoring for predictive tools in any market

Financial Services Risk Management

Fraud detection and investment decisions
Ensuring models comply with regulations like GDPR, FCRA, or industry-specific guidelines
Detecting and mitigating bias in lending or insurance underwriting models which is crucial for customer transparency and regulatory audits
Monitoring for concept drift in fraud detection models, ensuring they remaineffective as fraudulent tactics evolve
Use the sandbox to test and simulate prompts and responses

Healthcare Diagnostics and Treatment Planning

Validating the performance and safety of diagnostic AI models across diverse patient populations
Ensuring compliance with healthcare regulations like HIPAA in the US or similar privacy laws globally
Simulating various patient scenarios to test model robustness and identify potential edge cases

Human Resources and Talent Acquisition

Analyzing hiring models to detect and mitigate potential biases related to protected characteristics like age, gender, or ethnicity
Ensuring compliance with equal employment opportunity regulations
Providing clear explanations for hiring recommendations to support fair and transparent processes
Simulating various candidate profiles to understand model behavior and improve fairness

E-commerce Personalization and Recommendation Systems

Analyzing recommendation models to ensure they don't inadvertently discriminate or create filter bubbles
Monitoring for drift in customer preferences and adjusting models accordingly
Simulating various user profiles and behaviours to test the robustness of recommendation algorithms
Ensuring compliance with data privacy regulations in personalization practices

Get early access to the latest generative AI TRiSM developments

Experience how OGMA can enhance the safety, security, and compliance of your AI use cases. Book a demo today to see OGMA in action.