Plurai
Build task-specific evaluation models and guardrails for AI agents.
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About this product
Plurai helps teams create evaluators and guardrails for AI applications. The platform describes an intent-calibration process for defining a task, producing synthetic evaluation examples and building an evaluator suited to that task.
Its model options include small language models for repeated evaluation and optimized larger-model evaluators. The pricing page separates a starter allowance from usage-based services and enterprise deployment. Check both inference charges and any training cost when estimating a project.
An evaluation model needs its own evaluation. Compare its decisions with human-reviewed examples from your application, including ambiguous and failed cases. Keep provider accuracy and latency claims separate from results you reproduce. No independent accuracy, latency or cost comparison was performed for this profile.
Features
- Task-specific evaluators and guardrails
- Synthetic evaluation test sets
- Dedicated evaluation endpoints
- Small-model and optimized-LLM options
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