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Description

ArtificialQA is a cloud-centric solution designed for testing and assessing AI agents and chatbots. Users can connect their applications, develop test cases, and arrange them into modular suites and plans that can be reused. Each test run utilizes customizable AI evaluators alongside deterministic checks to evaluate response attributes like accuracy, relevance, tone, completeness, safety, and instances of hallucination. The outcomes provide scores along with detailed explanations at the response level, enabling teams to analyze behaviors, compare different versions, and spot regressions prior to launch. Users have the flexibility to either import existing test cases or create new ones, perform evaluations through a browser, and generate reports for quality assessment and traceability. Additionally, an API facilitates automated testing processes, including CI/CD integration for those on premium plans. ArtificialQA caters to a diverse range of users such as QA teams, developers, product managers, and organizations that are involved in developing or managing conversational AI across various sectors like finance, healthcare, government, customer support, ecommerce, and SaaS. This platform not only streamlines the testing workflow but also enhances the overall quality of AI interactions in real-world applications.

Description

With a suite observability tools, you can confidently evaluate, test and ship LLM apps across your development and production lifecycle. Log traces and spans. Define and compute evaluation metrics. Score LLM outputs. Compare performance between app versions. Record, sort, find, and understand every step that your LLM app makes to generate a result. You can manually annotate and compare LLM results in a table. Log traces in development and production. Run experiments using different prompts, and evaluate them against a test collection. You can choose and run preconfigured evaluation metrics, or create your own using our SDK library. Consult the built-in LLM judges to help you with complex issues such as hallucination detection, factuality and moderation. Opik LLM unit tests built on PyTest provide reliable performance baselines. Build comprehensive test suites for every deployment to evaluate your entire LLM pipe-line.

API Access

Has API Yes 

API Access

Has API Yes 

Screenshots View All

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Screenshots View All

Integrations

Azure OpenAI Service No 
Claude No 
DeepEval No 
Flowise No 
Hugging Face No 
Kong AI Gateway No 
LangChain No 
LiteLLM No 
LlamaIndex No 
Model Context Protocol (MCP) Yes 
OpenAI No 
OpenAI o1 No 
Pinecone No 
Predibase No 
Ragas No 
pytest No 

Integrations

Azure OpenAI Service Yes 
Claude Yes 
DeepEval Yes 
Flowise Yes 
Hugging Face Yes 
Kong AI Gateway Yes 
LangChain Yes 
LiteLLM Yes 
LlamaIndex Yes 
Model Context Protocol (MCP) No 
OpenAI Yes 
OpenAI o1 Yes 
Pinecone Yes 
Predibase Yes 
Ragas Yes 
pytest Yes 

Pricing Details

$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 Yes 
Free Version No 

Pricing Details

$39 per month
Free Trial Yes 
Free Version Yes 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises Yes 
iPhone App No 
iPad App No 
Android App No 
Windows Yes 
Mac Yes 
Linux Yes 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours Yes 
Live Rep (24/7) Yes 
Online Support Yes 

Types of Training

Training Docs No 
Webinars Yes 
Live Training (Online) Yes 
In Person No 

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) Yes 
In Person Yes 

Vendor Details

Company Name

QAlified

Founded

1992

Country

Uruguay

Website

artificialqa.com

Vendor Details

Company Name

Comet

Founded

2017

Country

United States

Website

www.comet.com/site/products/opik/

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Product Features

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