Alex Yaseen
CEO/Founder
Parabola
Parabola is a data automation platform that integrates data from various sources, such as Excel and APIs, to create automated workflows without the need for spreadsheets. It enables businesses to streamline processes, reduce manual tasks, and improve data accuracy, resulting in significant time and cost savings.
- Artificial Intelligence
- Data & Analytics
- Enterprise Software
- Software Only
Updated 23 months ago
Funding
Raised to date
$34.3MRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Funding rounds are not available yet.
Founders
Product
Problem
Many business operations rely on manual data manipulation using spreadsheets and email, which is time-consuming, error-prone, and difficult to scale. Integrating data from disparate sources like Excel, APIs, and PDFs often requires custom scripting and significant IT involvement. This creates bottlenecks and prevents business users from efficiently automating their workflows.
Solution
Parabola is a data automation platform that empowers business users to build automated workflows without code, replacing manual spreadsheet-based processes. The platform integrates data from various sources, including Excel, CSV files, APIs, email, and even unstructured data like PDFs, using pre-built connectors and AI-powered extraction tools. Users can transform, combine, and enrich data using a visual interface, then trigger actions and export data to other systems. By automating repetitive tasks and streamlining data workflows, Parabola enables businesses to improve data accuracy, reduce operational costs, and free up employees to focus on strategic initiatives.
Target Audience
Parabola targets operations teams, particularly in retail, e-commerce, freight, and logistics, who are responsible for managing complex data workflows and automating business processes.
Features
- Visual workflow builder with a drag-and-drop interface for designing automated processes
- Connectors for importing data from Excel, Google Sheets, CSV files, APIs, databases, and other sources
- AI-powered data extraction from unstructured sources like PDFs and emails using natural language processing (NLP)
- Data transformation tools for cleaning, filtering, aggregating, and enriching data
- Integration with third-party applications like Slack, ShipStation, NetSuite, and Snowflake
- Real-time data visualization and reporting capabilities for monitoring workflow performance
- Template library with pre-built workflows for common use cases like inventory reconciliation, invoice auditing, and order management
- Role-based access control and audit logging for ensuring data security and compliance