Plurai

Plurai is a platform for creating evaluations and guardrails for AI agents, specializing in 'vibe-training,' a proprietary process for building real-time, customized assessments that monitor agent performance and ensure policy compliance. It offers purpose-built small language models optimized for specific evaluation tasks, intent calibration and synthetic data generation that requires no prior labeled data, and support for conversation evaluation, semantic similarity, grounding validation, and policy compliance checks. Plurai includes optional LLM-based evaluators for maximum accuracy, on-premises deployment available via VPC, and inference latency under 100ms. The platform reports more than a 43% failure-rate reduction compared to GPT-4-based evaluation and more than 8x cost reduction compared to traditional LLM-as-judge approaches, with recent Product Hunt recognition. Pricing is freemium, with a 'Get started' option requiring no credit card, and further pricing details available on request.