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What is evalship?

Evalship provides engineering teams with a robust framework for evaluating LLM-driven software by performing thorough audits of evaluation suites and scrutinizing pull requests. It carefully investigates scorers and judges for possible inaccuracies, identifies gaps in coverage, and points out evaluations that could lead to erroneous results, all while delivering insights complete with code references and suggestions for enhancements. The initial setup streamlines a coding agent's task of configuring GitHub Actions and creating a setup pull request. For future pull requests, Evalship assesses the results against the default branch, detecting regressions, flaky evaluations, and any changes to prompts or model calls that lack sufficient evaluation, while also providing a status check for merge gating. It accommodates results from a variety of supported test runners and LLM evaluation tools. Evaluations occur within the customer's GitHub Actions framework using their designated model API keys, with Evalship concentrating on reviewing the results rather than executing the evaluations. Furthermore, teams have the ability to review their evaluation history and receive weekly performance reports to monitor advancements and enhancements over time. This thorough methodology guarantees that maintaining software quality is prioritized at every stage of the development process, ultimately fostering a culture of continuous improvement.

What is Scale Evaluation?

Scale Evaluation offers a comprehensive assessment platform tailored for developers working on large language models. This groundbreaking platform addresses critical challenges in AI model evaluation, such as the scarcity of dependable, high-quality evaluation datasets and the inconsistencies found in model comparisons. By providing unique evaluation sets that cover a variety of domains and capabilities, Scale ensures accurate assessments of models while minimizing the risk of overfitting. Its user-friendly interface enables effective analysis and reporting on model performance, encouraging standardized evaluations that facilitate meaningful comparisons. Additionally, Scale leverages a network of expert human raters who deliver reliable evaluations, supported by transparent metrics and stringent quality assurance measures. The platform also features specialized evaluations that utilize custom sets focusing on specific model challenges, allowing for precise improvements through the integration of new training data. This multifaceted approach not only enhances model effectiveness but also plays a significant role in advancing the AI field by promoting rigorous evaluation standards. By continuously refining evaluation methodologies, Scale Evaluation aims to elevate the entire landscape of AI development.

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Media

Integrations Supported

Braintrust
GitHub Actions
Jest
LangSmith
Langfuse
Vitest
promptfoo
pytest

Integrations Supported

API Availability

Has API

API Availability

Pricing Information

$7.60/month
The Team plan is $7.60 per month during the launch offer, 60% off its $19 monthly price for the next 9 accounts. It includes 3 users and 2 private repositories. Additional users cost $2 per month each, and additional repositories cost $10 per month each. A 7-day free trial is offered. Public repositories are free.
Free Version
Free Trial Offered?

Pricing Information

Pricing not provided

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub

Training Options

Documentation Hub
Webinars
Online Training

Company Facts

Organization Name

Garm Tech B.V.

Date Founded

2026

Company Location

Netherlands

Company Website

evalship.com

Company Facts

Organization Name

Scale

Date Founded

2016

Company Location

United States

Company Website

scale.com/evaluation/model-developers

Categories and Features

LLM Evaluation

Not specified

Categories and Features

LLM Evaluation

Not specified

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