Question: I'm looking for a tool that can generate test data using AI and help us build more resilient systems.

If you're looking for a tool to generate test data with AI and build more robust systems, RoostGPT is a great choice. It uses large language models to generate test cases at scale, ensuring 100% test coverage. This platform can automatically generate unit and API test cases, improving test quality and coverage while speeding up testing. It integrates with popular tools to streamline your workflow and is suitable for various scenarios, including new code, legacy systems, and Continuous Integration pipelines.

Another tool worth mentioning is MOSTLY AI, a synthetic data generation platform built on GenAI. It empowers businesses to generate and explore tabular data without writing code, making it great for data sharing, AI/ML development, and testing and quality assurance. With features like a natural language interface for data exploration and fully anonymous synthetic data generation for privacy compliance, MOSTLY AI is designed to meet the needs of enterprise customers.

For those who want to generate, edit, and amplify tabular data, Gretel Navigator is a powerful tool. It can be used to build datasets incrementally from scratch and can be used to create or modify data with SQL or natural language prompts. This tool is great for training foundation models, fine-tuning large language models, and creating evaluation datasets.

And Appen offers an end-to-end platform for high-quality, diverse data needed for foundation models and enterprise-ready AI applications. It includes integration with LLM APIs, annotation, collaboration, testing, analytics, and insights, along with customizable workflows and built-in quality control mechanisms. This platform supports a wide variety of data types and is trusted by leading brands for its scalable and reliable solution to collect, curate, and fine-tune data.