DataChat

Access complex data insights without coding, using a familiar chat and spreadsheet interface to generate transparent, reproducible results.
No-Code Development Data Science Automation Business Intelligence Predictive Analytics Machine Learning Model Management

DataChat is a no-code generative AI platform that makes complex data science accessible to anyone, regardless of technical expertise. It lets people generate insights that can inform business decisions without requiring a PhD in coding. DataChat's interface is based on familiar spreadsheet and chat software, but it includes built-in machine learning and data science abilities.

DataChat lets people work in chat boxes and spreadsheets instead of code interfaces. The platform translates complex data sets into clear insights with conversational AI, so anyone can understand what's going on. DataChat documents every step of the analysis process, so data products are transparent and reproducible.

Some of the platform's abilities include:

  • Upload data and ask questions: Get AI-powered insights without writing code.
  • Work in spreadsheets and chat: Use interfaces you already know to do data analysis.
  • Built-in data science: Use machine learning and predictive analytics without writing code.
  • Reproducibility: Automatically document every step of the analysis so you can validate and trust results.

DataChat is geared for data scientists, analysts and business users who want to make decisions faster and with more confidence. The platform automates mundane tasks like data preparation, exploration and modeling, but also can handle more sophisticated tasks like outlier analysis.

The company doesn't reveal pricing details, but you can sign up for a 14-day free trial to try the product. DataChat's pricing is likely to be based on a pay-as-you-go model that's customized for each business, so companies can pay for what they need as they need it for their analytics work.

DataChat's goal is to bridge the gap between technical teams and nontechnical stakeholders, so everyone can participate in data-driven decision making.

Published on June 13, 2024

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