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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 ArtificialQA?

ArtificialQA is a cloud-based platform tailored for evaluating and testing AI agents and chatbots. Users can seamlessly integrate their applications, create test cases, and organize them into reusable modular suites and plans. Each testing session employs customizable AI evaluators in conjunction with deterministic checks to assess various response attributes, including accuracy, relevance, tone, completeness, safety, and instances of hallucination. The results yield scores along with comprehensive explanations at the response level, allowing teams to dissect behaviors, compare different iterations, and identify regressions before deployment. Additionally, users can either import pre-existing test cases or craft new ones, conduct evaluations via a browser, and create reports for quality assessment and traceability. An API is available to facilitate automated testing processes, including CI/CD integration for premium plan subscribers. ArtificialQA serves a wide array of users, including QA teams, developers, product managers, and organizations engaged in the development or management of conversational AI across diverse sectors such as finance, healthcare, government, customer support, ecommerce, and SaaS. This platform not only optimizes the testing workflow but also significantly improves the quality of AI interactions in practical applications, ultimately ensuring a better user experience. By leveraging ArtificialQA, organizations can stay ahead in the rapidly evolving landscape of conversational AI.

Media

Media

No images available

Integrations Supported

Model Context Protocol (MCP)
Okta
Python
Slack
TypeScript

Integrations Supported

Model Context Protocol (MCP)

API Availability

Has API

API Availability

Has API

Pricing Information

$19 per month
Free Version

Pricing Information

$0
The Free plan has no charge, requires no credit card, and has no time limit; it includes 10 AI generations per month. Paid plan pricing is not publicly specified and is arranged with the vendor.
Free Trial Offered?

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

Webinars
Online Training

Company Facts

Organization Name

Scorable

Company Location

Finland

Company Website

scorable.ai/

Company Facts

Organization Name

QAlified

Date Founded

1992

Company Location

Uruguay

Company Website

artificialqa.com

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

LLM Evaluation

Not specified

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