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What is Scorable?

Scorable is a cutting-edge platform that leverages artificial intelligence for evaluation and monitoring, designed specifically to aid developers in measuring, managing, and improving the performance of applications built with large language models. This platform enables teams to create tailored automated evaluators, often referred to as AI "judges," which assess the responses generated by AI systems and evaluate whether these outputs meet predefined quality metrics such as accuracy, relevance, helpfulness, tone, and compliance with policies. Developers can express their evaluation goals in simple terms, allowing Scorable to design a bespoke assessment framework that tests AI outputs against particular contextual standards, extending beyond conventional benchmarks. Furthermore, these evaluators can be easily integrated into the application's source code, facilitating ongoing oversight of AI systems, such as chatbots, retrieval-augmented generation (RAG) systems, or autonomous agents, even during their operation in live environments. This functionality guarantees that developers uphold rigorous standards for AI performance over time and are able to quickly adjust to changing needs, thereby fostering a more responsive approach to application development and deployment. In addition, Scorable's adaptability ensures that as technology evolves, developers are equipped with the tools necessary to maintain optimal performance and quality in their AI applications.

What is Earthly Lunar?

Earthly Lunar helps platform and engineering leaders keep software delivery consistent as teams, repositories, and AI-assisted code volume grow. Instead of asking each team to maintain its own checklist or CI template, Lunar collects development lifecycle signals centrally from repositories and CI/CD systems. It creates a structured picture of each service's tests, dependencies, build and deployment practices, then evaluates organization-wide engineering guardrails against that picture. Leaders can see which standards are being followed, where exceptions appear, and how adoption changes across teams. Platform teams can start with monitoring, add pull request feedback, and graduate selected rules to blocking enforcement. Prebuilt and custom guardrails cover testing, quality, operational readiness, infrastructure, and compliance requirements. This approach gives teams flexibility in their tools while applying the same expectations to human-written and AI-generated code. The resulting enforcement history also supports audit preparation and post-incident follow-through.

Media

Media

Integrations Supported

Python
Slack
Model Context Protocol (MCP)
TypeScript

Integrations Supported

Python
Slack
.NET
Argo CD
C
CodeRabbit
Cortex
Cursor
Datadog
Docker
Elixir
Go
Grafana Cloud
Kotlin
OpenAI Codex
PHP
Scala
Snyk

API Availability

Has API

API Availability

Has API

Pricing Information

$19 per month
Free Version

Pricing Information

Contact Earthly to discuss your requirements and receive current pricing for Lunar.

Supported Platforms

SaaS
On-Prem

Supported Platforms

SaaS

Customer Service / Support

Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub
Online Training

Training Options

Documentation Hub
Online Training

Company Facts

Organization Name

Scorable

Company Location

Finland

Company Website

scorable.ai/

Company Facts

Organization Name

Earthly Lunar

Date Founded

2020

Company Location

United States

Company Website

earthly.dev/

Categories and Features

Agentic AI

Not specified

AI Governance

Not specified

AI Guardrails

Not specified

AI Observability

Not specified

LLM Evaluation

Not specified

Categories and Features

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