Parabola, a tool for non-technical teams to automate, document, and collaborate on data workflows, announces new AI steps that leverage GPT’s power of interpretation. By processing data with AI, businesses will benefit from automating processes that previously required human analysis.

Since 2017, Parabola has enabled people to work with everyday business data in an accessible, drag-and-drop visual tool. Operations teams — like in ecommerce, logistics, and freight — can take quick action with data or create their own tools and reports in a language that is familiar, without engineering.

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As businesses worldwide wrestle with how to leverage AI, @ParabolaHQ puts accessible no-code tooling in the hands of Operators.

“We’re building collaborative tools for Operators to take action on their data in ways that previously required painstaking manual work,” says CEO and Founder, Alex Yaseen. “We were hearing from customers how transformational it would be to not only connect to third party tools and databases, but also to work with dynamic, unstructured data like PDFs, texts, and emails. Large language models like GPT are effective at this type of work. Parabola’s AI steps will help customers escape even more of their isolated spreadsheets and manual, repetitive work.”

Parabola’s AI integration introduces three GPT-powered steps: Categorize with AI, Extract with AI, and Experiment with AI. Each step presents an unprecedented opportunity for Operators to streamline their everyday work with messy, variable data.

“The rate of progress in AI is incredibly exciting. Every company we speak with is wondering how to take advantage and avoid being left behind,” says Yaseen. “Now, every Parabola customer can seamlessly leverage machine learning throughout their business, empowering employees who know their business challenges best to build their own solutions.”

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