Scorecard

Scorecard is a comprehensive platform designed to serve as an 'AI Control Room' for teams building, testing, and deploying enterprise-grade AI agents. It addresses the core challenges of AI development, such as the unpredictability of AI models (the 'black box' problem), slow feedback cycles, and the risks associated with subjective testing. By providing a suite of powerful tools, Scorecard enables a systematic, data-driven approach to ensure AI agents are reliable, effective, and trustworthy before and after they reach production.

The platform creates a continuous feedback loop that connects development, testing, and production environments. This allows teams to gain live observability into how users interact with their AI agents, identify issues in real-time, and turn production failures into reusable test cases. This iterative process dramatically accelerates improvement cycles and helps teams make faster, more meaningful enhancements to their AI systems.

How to use Scorecard

The workflow in Scorecard is structured around a three-step process: Evaluate, Optimize, and Ship.

1. Evaluate: Begin by testing the performance of your AI agent against Scorecard's library of vetted, industry-standard metrics. You can also customize these metrics or create your own to track what matters most to your business. Run structured tests and A/B comparisons to gain clear, actionable insights into your agent's behavior and performance.
2. Optimize: Use the Scorecard Playground to rapidly prototype and iterate on your ideas. Experiment with different models, fine-tune prompts, and compare versions side-by-side using actual user requests. The platform serves as a single source of truth for your best-performing prompts, with version control to track changes and collaborate effectively.
3. Ship: Once your agent has been rigorously tested and optimized, deploy it to production with confidence. Scorecard integrates with your production systems, allowing you to manage and deploy prompts without touching an IDE. You can monitor real-world performance, log and trace interactions, and catch issues before they impact a wider user base.

Core Features of Scorecard

• Continuous Evaluation: Get a real-time pulse on how users interact with your agent, identify failures, and monitor performance continuously.
• Prompt Playground & Management: A powerful environment to create, test, compare, and version prompts. It acts as a central repository for your team's best prompts.
• Trustworthy Metrics Library: Access a library of validated metrics for industry benchmarks or create custom, AI-powered metrics by simply describing them.
• A/B Comparison: Effortlessly run head-to-head tests between different versions of your AI systems to make evidence-based decisions.
• Human Labeling: Integrate human-in-the-loop feedback to establish ground truth and validate the performance of mission-critical applications.
• Test Set Management: Convert production failures and real-world edge cases into structured test sets for regression testing and continuous improvement.
• Production Deployment & Monitoring: Seamlessly deploy tested prompts to production and monitor their performance over time with logging, tracing, and visualizations.

Use Cases for Scorecard

Scorecard is versatile and can be applied across various industries to ensure AI reliability:

• Legal: Analyze legal documents to identify risks and ensure compliance with high accuracy.
• Fintech: Evaluate AI models that assess financial instruments, manage risk exposure, and provide financial analysis.
• Compliance: Test systems designed to review compliance programs and ensure adherence to regulatory frameworks.
• Healthcare: Assess AI used for healthcare analytics, ensuring compliance and mitigating risks in sensitive applications.
• Chatbots & Customer Service: Optimize chatbot personalities and responses to improve conversation quality and user satisfaction scores.

Advantages of Scorecard

By adopting Scorecard, teams gain a significant competitive edge. The platform replaces subjective 'vibe checks' with systematic, repeatable testing, leading to data-backed decisions. It breaks down silos between development and production, fostering a culture of continuous improvement. The primary advantages include shipping AI products faster and with greater confidence, building user trust through reliable performance, and ultimately delivering superior AI-powered experiences.

Pricing and Plans

Scorecard offers a tiered pricing model to scale with your needs:

• Starter Plan: $0/month. Ideal for early-stage projects, it includes unlimited users and 100,000 scores.
• Growth Plan: $299/month. Designed for startups and mid-sized companies, this plan includes everything in Starter, plus 1 million scores per month, test set management, prompt playground access, and priority support.
• Enterprise Plan: Custom Pricing. Tailored for large-scale deployments, it offers everything in Growth, plus features like SAML SSO, SOC 2 compliance, end-to-end data encryption, 24/7 VIP support, and volume-based discounts.