A deterministic, four-phase methodology designed to stress-test foundation models, uncover latent logic flaws, and guarantee enterprise-grade deployment safety.
Our proprietary workflow bridges the gap between massive automated scaling and specialized human insight.
We initiate by securely integrating with your model's API or containerized instance. All evaluations occur within an isolated, air-gapped Virtual Private Cloud (VPC) to ensure absolute weight and data security. We define the evaluation taxonomy alongside your engineering team.
Before human intervention, we run high-throughput automated sweeps. This involves subjecting the model to thousands of deterministic SWE-bench tests to identify high-level statistical failure rates and context-window degradation at massive scale.
The critical human-in-the-loop phase. We deploy our network of STEM PhDs and domain experts to manually probe the model's logic. Using sophisticated, multi-turn adversarial prompts, we test for 'System 2' reasoning failures, PII extraction, and latent space jailbreaks.
We synthesize the findings into a comprehensive Assessment Report detailing exact False Positive Rates (FPR), vulnerability categories mapped to NIST guidelines, and exact reasoning traces. We also export corrected pairs as pristine SFT and DPO training data.
Evaluating frontier models requires extreme operational security. We guarantee zero data retention post-audit.
Every SME evaluator in our network operates under severe, legally-binding Non-Disclosure Agreements. Identifiers and proprietary logic are stripped before evaluation routing.
For highly sensitive or defense models, our red-teamers log into client-provided secure virtual environments. No proprietary model weights ever leave your internal VPC infrastructure.
Learn more about the logistics, timelines, and security of the Acadify Evaluation Pipeline.
Read the API DocsIntegrate the Acadify verification pipeline into your deployment lifecycle to guarantee reasoning integrity and alignment.
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