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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 Plurai?

Plurai functions as a dedicated trust platform in the realm of AI agents, focusing on simulation-based evaluations, protection, and enhancement, which effectively evolves these agents into reliable and increasingly sophisticated production systems. The platform supports teams in crafting tailored assessments and safety measures, aiding in the shift from initial models to powerful, scalable implementations. By utilizing a simulation framework that prepares agents for real-world challenges instead of controlled settings, Plurai harnesses hyper-realistic, product-centric experimentation and assessment to tackle the complexities of production. It facilitates authentic multi-turn interactions, creates varied personas, and simulates essential tools, all while leveraging organizational PRDs, relevant references, and policies to build a knowledge graph that expands edge-case coverage. Shifting away from static datasets and inconsistent evaluation methods, Plurai organizes assessments into clear, actionable experiments that empower teams to test new versions, monitor regressions, and verify enhancements before deployment. This progressive methodology not only solidifies trust in AI agents but also guarantees their continuous improvement for peak performance in ever-changing environments. Furthermore, Plurai's commitment to innovation ensures that teams can adapt quickly to new challenges, maintaining a competitive edge in the rapidly evolving landscape of AI technology.

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Integrations Supported

Braintrust
GitHub Actions
Jest
LangSmith
Langfuse
Vitest
promptfoo
pytest

Integrations Supported

ChatGPT
GPT-4.1

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

Free
Free Version
Free Trial Offered?

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
Online Training

Company Facts

Organization Name

Garm Tech B.V.

Date Founded

2026

Company Location

Netherlands

Company Website

evalship.com

Company Facts

Organization Name

Plurai

Company Location

United States

Company Website

www.plurai.ai/

Categories and Features

LLM Evaluation

Not specified

Categories and Features

Agentic AI

Not specified

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