What problem does Scorecard solve in AI development?

Scorecard addresses the problems of slow feedback cycles and silos between development and production, which hinder innovation and understanding of AI performance.

How does Scorecard help ensure predictable AI experiences?

Scorecard provides continuous evaluation of AI behavior, allowing teams to catch problems early, fix them fast, and ship AI agents that work reliably.

Can I customize the metrics used to evaluate my AI agents with Scorecard?

Yes, Scorecard offers a validated metric library with industry benchmarks, and you can customize proven metrics or create your own to track what matters most to your business.

Does Scorecard support managing and versioning prompts?

Yes, Scorecard allows you to create, test, and track your best-performing prompts all in one place, maintaining a history and providing a single source of truth for your team.

Scorecard

Name: Scorecard
Brand: AI_TOOL
Availability: InStock

Platform for evaluating, optimizing, and shipping AI agents.

Why Choose Scorecard?

You should pick this if you’re building AI agents and want a platform that helps you test, evaluate, and improve them continuously. It’s great for catching issues early, managing prompts, and making sure your AI behaves reliably in production. Basically, it helps you ship better AI with less guesswork.

Scorecard

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Platform for evaluating, optimizing, and shipping AI agents.

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Scorecard Introduction

What is Scorecard?

Scorecard is a platform designed to help teams build, test, evaluate, optimize, and ship enterprise AI agents, particularly LLM apps. It aims to deliver predictable AI experiences that improve with every update by providing tools for continuous evaluation, performance testing, and prompt management. Scorecard helps users understand how their AI models behave, catch problems early, fix them fast, and ensure AI agents work reliably in production. It addresses common challenges in AI development such as slow feedback cycles and silos between development and production by creating a continuous feedback loop.

How to use Scorecard?

Scorecard allows users to test the performance of their AI agents against vetted metrics, create experiments to quickly test ideas in an AI laboratory, and manage/deploy agents to production. It facilitates a continuous feedback loop by connecting development, testing, and production environments, enabling users to see how models perform with real user requests. Users can gain live observability, version and store prompts, create trustworthy metrics, and validate performance through structured tests.

Why Choose Scorecard?

Scorecard Features

AI Developer Tools

✓Evaluate and test AI agent performance against vetted metrics
✓Continuous evaluation and live observability of AI behavior
✓Version and store best-performing prompts in one place
✓Create and customize trustworthy metrics for business needs
✓Run structured tests for clear, actionable insights

FAQ?

Pricing

Starter

$0/Month

Essential evaluations for early-stage AI projects. Unlimited users, 100,000 scores.

Growth

$299/Month

Reliable AI evaluations for startups and mid-sized companies. Unlimited users, includes 1M scores/mo, then $1 per 5K. Test set management, prompt playground access, priority support.

Enterprise

Customized Pricing

Custom solutions for large-scale AI deployments. Everything in Growth, SAML single sign-on (SSO) & authentication management, SOC 2 compliance reporting, end-to-end data encryption (including at rest), 24/7 VIP support, volume-based usage discounts, customizable contract terms.

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Scorecard

Why Choose Scorecard?

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Scorecard Introduction

What is Scorecard?

How to use Scorecard?

Why Choose Scorecard?

Scorecard Features

AI Developer Tools

FAQ?

Pricing

Starter

Growth

Enterprise

Scorecard Tags

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