How do I use Parabola?
To use Parabola, just describe what you want to build in plain language. Parabola will figure out the steps you need to create that automation and guide you through the process.
The fastest way to learn Parabola? Start building.
Parabola is trained on all of the content in our documentation plus hundreds of other resources—so if you have a question, asking Parabola directly in-app is your fastest path to an answer.
Action on your data—which could include steps that enable you to create a dashboard, update a Google Sheet, or send a Slack message (just to name a few)
Sign up for free
Jump straight into Parabola to start building. Simply type what you’d like to
automate to get started.
Learn with Parabola University
Explore our 1-hour, interactive course where you’ll learn the fundamentals of
Parabola through a guided building challenge.
Start with a template
Check out our template library where you can explore pre-built flows with
sample data and adapt them for your use case.
Who should use Parabola?
In short: anyone who has ever worked with data and thought, “there has to be a better way.” The only thing you need to use Parabola is the ability to describe in plain language what you’re trying to automate. Our most successful customers come from the world of spreadsheets, emails, and PDFs with no background in computer science, data analytics, or BI tools. Check out our case studies to learn how operators are building magical automations for their teams.What’s possible in Parabola?
Operators have deployed tens of thousands of distinct use cases in Parabola. While every workflow is unique, most follow a few common patterns:They start with unstructured data from siloed sources like emails, spreadsheets, PDFs, or systems like Shopify and Google Sheets
The processes are recurring—running daily, weekly, or whenever new data comes in (like an email or upload)
They require collaboration across teams and partners, so the data must move seamlessly across internal and external systems
- Reconciling inventory across siloed systems
- Digitizing and auditing freight invoice PDFs
- Extracting information from an email and pushing it to a database
- Recurring reporting processes
What AI features exist in Parabola?
At its core, building in Parabola is like chatting with a teammate who is an expert on Parabola. That teammate just so happens to be an AI model trained on all of Parabola’s documentation, Templates, best practices, and pre-configured steps—and can also take action by adding steps and troubleshooting errors in your flow. AI is also injected into the way that Parabola ingests and transforms messy data:- Extract important information: Whenever you’re pulling messy data into Parabola—think emails, funky Excel files, and PDFs—Parabola uses AI to add structure to that data as it’s pulled in. All you need to do is specify how you’d like your data to ultimately be structured.
- Clean and transform data: Parabola also offers powerful steps that allow you to do things like categorize and standardize your data with AI—similar to running your data through ChatGPT at scale. You can also use AI to build your own data transformation steps based on plain language instructions—giving you the ability to deploy wildly complex functions by just writing out what you’d like to accomplish.