https://store-images.s-microsoft.com/image/apps.41029.78cf13c5-8c7d-497d-a3d4-a79ee66cd1c7.818f6f78-2fd2-4156-85c1-5e40a1578770.acfd125a-693b-4c4f-8110-eab712fc77d5

Evaluator

par Simple Machine Mind

Evaluator — The Cognitive AGI for Deterministic, & explainable decisions - Built on Azure

Evaluator is a cognitive AGI decision layer that transforms AI outputs into deterministic, explainable Yes/No/TBD results. Purpose-built for production, it adds transparency, auditability, and policy-as-code guardrails to complex decision flows—so teams can move from experimentation to reliable operations with confidence.
Built on Azure, Evaluator integrates natively with Azure API Management, Azure Container Apps, Azure Key Vault, and Azure Storage, delivering scalability, security, and straightforward onboarding. Users can tune thresholds (without retraining), capture decision rationales and logs for audits, and standardize outcomes across multi-label or multi-class use cases.
Evaluator is ideal for mission-critical decision-making scenarios, enterprises, data scientists, and decision-makers who need accountable AI at scale. By reducing ambiguity and enforcing consistent policy, it raises decision quality, shortens time-to-value, and fits cleanly into existing enterprise workflows and tools. It also acts as the glue between GenAI and agentic systems, helping teams assemble safer, more autonomous AI.

Vue d’ensemble

https://store-images.s-microsoft.com/image/apps.43119.78cf13c5-8c7d-497d-a3d4-a79ee66cd1c7.818f6f78-2fd2-4156-85c1-5e40a1578770.b28e79f5-9dbe-4a97-8287-537d25b66589
https://store-images.s-microsoft.com/image/apps.5926.78cf13c5-8c7d-497d-a3d4-a79ee66cd1c7.818f6f78-2fd2-4156-85c1-5e40a1578770.e9fc8b22-5185-41de-a961-bc9c45d9dd3d
https://store-images.s-microsoft.com/image/apps.1404.78cf13c5-8c7d-497d-a3d4-a79ee66cd1c7.818f6f78-2fd2-4156-85c1-5e40a1578770.803e6ac7-fc1c-4df0-86f4-5fd8dc116c42
https://store-images.s-microsoft.com/image/apps.60781.78cf13c5-8c7d-497d-a3d4-a79ee66cd1c7.818f6f78-2fd2-4156-85c1-5e40a1578770.b660de5d-417d-4a63-a3e0-239ecab00351