Aymara

Automated evaluations for AI safety, accuracy and jailbreak vulnerability.

Made by AymaraRed teaming and evaluation

About Aymara

Aymara helps enterprises proactively evaluate, optimize, monitor, and govern generative AI systems across safety, compliance, accuracy, and brand alignment. The page names Risk & Legal Teams as an audience, described as teams that flag liabilities before launch and maintain audit trails.

Aymara integrates directly into development and deployment workflows to run custom alignment and safety evals before launch, detect issues like hallucinations, impersonation, IP misuse and bias, and continuously evaluate outputs post-deployment. One listed use case is Compliance Readiness, which shows adherence to ISO, NIST, and EU frameworks. The page lists multimodal, multilingual, multi-turn evaluations among its features. The page includes a customer case study of a Fortune 50 Retailer.

Drafted from aymara.ai · not yet confirmed by Aymara

How it works

Aymara automates safety and accuracy evaluation of AI applications. You describe your policy, Aymara generates test prompts for it (including jailbreak and adversarial variants), runs them against your model or app, and scores the responses, giving you a per policy pass rate you can track over releases. The Python SDK is open; the evaluation service is hosted.

It's positioned between a benchmark dataset and a red team consultancy.