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AI evaluation

Pi Copilot

AI platform for building custom evaluation and scoring systems for LLMs.

Source rating 5.0 (97) 0 views 0 saves Freemium
AI evaluation LLM evaluation AI scoring
More categories (9)
Observability Agent Control Prompt engineering AI metrics AI development tools Natural-language-processing Machine learning operations (MLOps) AI quality assurance AI Testing
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Free + from $0.40 / million tokens

Verdict

A quick read before you dig into the full page.

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AI platform for building custom evaluation and scoring systems for LLMs
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Freemium · Free + from $0.40 / million tokens

Overview

Pi Labs offers an AI-powered platform designed to automatically build evaluation systems (evals) for AI applications, particularly those involving Large Language Models (LLMs) and agents. It enables users to create custom scoring models that precisely match user feedback and prompts, ensuring highly accurate and consistent evaluation. The platform integrates seamlessly with various existing tools and provides a fast, highly accurate foundation model called Pi Scorer for comprehensive metrics, observability, and agent control across the entire AI stack.

Access & connections

Where you can use Pi Copilot.

Platforms

Web

Capabilities

What this tool accepts, produces, and is strongest at.

Highlights

  • Automatically builds evaluation systems (evals) to match user feedback and prompts.
  • Provides accurate and consistent scoring, unlike variable LLM-as-judge methods.
  • Integrates with various tools like Sheets, PromptFoo, GRPO, and CrewAI.
  • Intelligently identifies what metrics to measure for your application.
  • Features Pi Scorer, a foundation model that scores more accurately than Deepseek and GPT 4.1.
  • Offers extremely fast scoring, processing 20+ custom dimensions in less than 100ms.
  • A single scorer can be used across the entire AI stack (offline evals, online observability, training data quality, model optimization, agent control flows).
  • 32K context window for Pi Scorer.
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  • Currently supports text-only evaluation (other modalities coming soon).

FAQ 7

What is Pi Labs?
Pi Labs offers an AI-powered platform designed to automatically build evaluation systems (evals) for AI applications, particularly those involving Large Language Models (LLMs) and agents. It enables users to create custom scoring models that precisely match user feedback and prompts, ensuring highly accurate and consistent evaluation. The platform integrates seamlessly with various existing tools and provides a fast, highly accurate foundation model called Pi Scorer for comprehensive metrics, observability, and agent control across the entire AI stack.
How to use Pi Labs?
To use Pi Labs, you first work with Pi's copilot to build your custom scoring system. This involves feeding it your prompts, PRDs, or user feedback, or simply chatting with it to define the best calibrated metrics for your application. Once the scoring system is established, you can then use it to evaluate anything across your AI stack, including offline evaluations, online inference, training data quality, model optimization, and agent control flows.
What is Pi Labs?
Pi Labs is an AI platform that automatically builds custom evaluation and scoring systems for AI applications, especially those using LLMs and agents, to ensure accurate and consistent performance.
How accurate is Pi Scorer?
Pi Scorer is a foundation model that scores more accurately than Deepseek and GPT 4.1, while running at the speed and size of GPT Mini and Gemini Flash.
What kind of integrations does Pi Labs support?
Pi Labs integrates with a wide range of tools including Google Spreadsheets, Promptfoo, CrewAI, GRPO, and can be used for offline evals, online observability, training data quality, model optimization, and agent control flows.
Is there a free tier available?
Yes, Pi Labs offers a free tier that includes $10 in credits, covering 25 million tokens.
What modalities does Pi Scorer support?
Currently, Pi Scorer supports text only, with other modalities coming soon.
Pi Copilot Free + from $0.40 / million tokens
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