We created ArtificialQA to address one of the greatest challenges in modern testing: validating non-deterministic systems, like those that incorporate generative artificial intelligence.
Instead of searching for a single correct answer—as we do with traditional deterministic systems—the tool allows us to analyze whether the result generated by the AI meets the quality criteria defined by the business. AI outputs are automatically assessed on various criteria: from clarity, coherence, and tone, to biases, empathy, and level of formality, among others. Each aspect is measured by assistants that provide objective scores, which facilitates quick, evidence-based decisions.
How does ArtificialQA work?
Effortlessly scale your tests
Reduce the burden of repetitive tasks with automated validations to speed up your tests.
Minimize risks before they become incidents.
It timely detects critical errors, inconsistencies, biases, or deviations that could compromise security, reputation, or regulatory compliance.
Accelerate development while maintaining quality
Integrate reliable validations into your CI/CD pipelines and get immediate feedback that drives agility without sacrificing accuracy.
Make data-driven decisions.
Get detailed reports and objective scores allowing you to understand your AI's performance and prioritize evidence-based actions.
ArtificialQA supports different roles in a variety of contexts.
01.
Testers and Developers
To automate test suites on non-deterministic systems.
02.
Business Analysts and Leaders
To validate functionalities from the user's or business's perspective.
03.
Regulatory Agencies
To validate compliance with regulations, guidelines, or ethical frameworks.
Banking and Finance
It automates the validation of AI-generated behaviors without manual intervention.
Healthcare
Verification of models that provide clinical information.
E-commerce
Testing of personalized recommendation systems.
Education
Evaluation of text generation tools and automated feedback.
Media and Content
Validating tone, style, and quality in automatically generated content.
AI and QA Experts
We combine our testing experience with technical knowledge of AI.
A tailored approach for each project.
We tailor the tool to each client's specific challenges and contexts.
Experience across different industries.
We've partnered with leading organizations, helping them integrate AI into their QA strategies
Commitment to quality and reliability
We ensure high standards enabling your system to evolve without losing control.
Choose the plan that best fits your team and your generative AI challenges:
Basic
For small teams looking to start test automation easily and efficiently.
Professional
For teams looking to maintain product quality while accelerating delivery speed.
Enterprise
For enterprises that demand maximum reliability, security, and customization in their QA processes.
ArtificialQA doesn’t just verify exact answers; it evaluates behaviors using calibrated evaluators analyzing various quality dimensions (like completeness, accuracy, bias, tone, or error handling). Additionally, it allows you to define criteria and metrics aligned with business objectives.
Each test generates a score and a detailed explanation from each evaluator, which justifies the analysis. ArtificialQA then calculates a weighted average based on the weight assigned to each evaluator in the project, and compares it with the pre-defined acceptance threshold. The final result is clearly presented as “pass/fail,” along with the details of each evaluated criterion.
It includes calibrated evaluators that analyze dimensions like completeness, accuracy, tone, and formality, bias, error handling, and inappropriate content detection, among others.
Yes, in addition to the predefined evaluators, you can create new ones, both deterministic and non-deterministic, to fit your specific business or vertical needs.
Highly versatile: you can modify the influence of each evaluator in the project, set the pass/fail threshold to establish the final result, add new evaluators, and tailor the tool to specific situations, guaranteeing the testing process is fully aligned with your business objectives.
ArtificialQA is ideal for evaluating chatbots, virtual assistants, systems that provide dynamic responses (like intelligent searches or FAQs), and intent-based conversational flows, where it’s necessary to validate the quality of the responses.
Yes. ArtificialQA integrates easily into your development and automation processes, allowing you to run tests in continuous flows.
No. ArtificialQA is designed to be intuitive and offers an experience similar to the most common testing tools on the market, so any team can get started quickly, even without prior experience in AI testing.