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About Plurai
Plurai is a "vibe-training" platform designed to create real-time, tailored evaluations (evals) and guardrails for AI agents. It aims to provide high accuracy at a fraction of the cost associated with traditional large language model (LLM) approaches. The platform utilizes a proprietary intent calibration process to deeply understand specific tasks, generating high-quality testing sets and consistent evaluators. This enables the deployment of production-grade evals and guardrails powered by optimized small language models (SLMs). Plurai's core value proposition lies in its ability to significantly reduce failure rates and inference latency while offering substantial cost savings compared to using general-purpose LLMs for evaluation. It caters to developers and organizations building and deploying AI agents who need robust, continuous validation and safety mechanisms without incurring high operational costs or sacrificing performance. The platform supports various semantic tasks, including conversation evaluation, semantic similarity, grounding validation, and policy compliance, and can be deployed on-premise for enhanced security and control.
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