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§ Private Profile · San Francisco, CA, USA
Parabola is a technology company.
Parabola provides a data automation platform that empowers business teams to construct and manage their own complex workflows without requiring engineering support. The core product functions as a visual programming environment, enabling users to combine data from various sources and automate tasks that typically involve manual data manipulation or bespoke scripting. This approach transforms repetitive operational processes into streamlined, intelligent flows, enhancing efficiency across departments.
The company was founded in 2015 by Alex Yaseen and Mike Lang. Their foundational insight stemmed from recognizing the bottleneck created by business teams' reliance on technical personnel for data preparation and workflow automation, hindering agility and scalability. Yaseen and Lang aimed to democratize these capabilities, giving operational teams direct control over their data pipelines.
Parabola serves a diverse set of customers who need to automate critical data operations within their organizations. It enables these users to focus on strategic initiatives rather than manual data handling. The company's long-term vision centers on allowing any team to independently build, run, and adapt custom data processes, fostering greater self-sufficiency and operational excellence.
Parabola has raised $34.0M across 3 funding rounds.
Parabola has raised $34.0M in total across 3 funding rounds.
Parabola has raised $34.0M across 3 funding rounds. Most recently, it raised $24.0M Series B in June 2023.
Parabola has raised $34.0M in total across 3 funding rounds.
Parabola's investors include Openview Venture Partners, Abstract Ventures, AirAngels, Alt Capital, Andreessen Horowitz, AngelPad, Ascend Vietnam Ventures, Audacious Ventures, Battery Ventures, B Capital Group, BILL, Connect Ventures.
# High-Level Overview
Parabola is an AI-powered workflow automation platform designed to eliminate manual, repetitive work by helping teams organize, transform, and automate data from disparate sources without requiring engineering expertise.[1][3] The company serves operations teams across supply chain, finance, procurement, and inventory management—departments traditionally trapped in spreadsheets and fragmented tool ecosystems.[3]
The platform addresses a fundamental operational pain point: the hidden cost of manual data work. Rather than requiring custom scripts or developer involvement, Parabola enables non-technical users to build and run automations independently, freeing engineering resources for higher-impact work.[1] The company's value proposition centers on reducing errors, scaling operations without burnout, and transforming invisible operational expertise into scalable processes.[1]
# Origin Story
Parabola was founded in 2017 and is headquartered in San Francisco, California.[2] The company was built on a simple but powerful premise: that modern operations teams shouldn't rely on duct-taped tools and spreadsheets that eventually break under pressure.[1] Alex Yassen serves as Founder and CEO, leading a team that grew from an initial concept into a 100+ person organization.[1][2]
The founding insight emerged from observing how companies waste valuable time managing spreadsheets and manual workflows—work that creates problems when systems fail but remains largely invisible until something breaks.[1] This observation led to building infrastructure that would allow operations teams to apply their hard-won expertise at scale rather than simply holding systems together through sheer willpower.[1]
# Core Differentiators
# Role in the Broader Tech Landscape
Parabola operates at the intersection of two major trends reshaping enterprise software: the shift toward operational automation and the democratization of technical capabilities through no-code/low-code platforms.
The company rides the wave of operations becoming a competitive advantage. As supply chains grow more complex and labor costs rise, companies increasingly recognize that operational efficiency directly impacts profitability and scalability.[1] Parabola positions itself as infrastructure for this shift—not just software, but the backbone of how modern operations work gets done.[1]
The timing is particularly favorable given widespread digital transformation initiatives and the persistent shortage of engineering talent. By enabling operations teams to self-serve rather than queue for engineering resources, Parabola addresses a structural bottleneck in enterprise organizations. The platform also benefits from broader adoption of AI and machine learning, which Parabola integrates into its workflow builder to enhance data transformation and anomaly detection.[3]
# Quick Take & Future Outlook
Parabola is well-positioned to capture significant market share in the operations automation space as enterprises increasingly prioritize efficiency and operational resilience. The company's focus on making operations work visible and scalable—rather than heroic—aligns with long-term organizational trends toward sustainable, scalable growth.
Looking ahead, Parabola's trajectory will likely be shaped by: deepening AI integration to handle increasingly complex data transformations; expanding vertical-specific solutions (supply chain, finance, procurement already have dedicated templates); and potentially becoming a critical infrastructure layer for operations teams across industries. As companies move beyond spreadsheet-dependent operations, platforms that lower the barrier to automation while maintaining governance and auditability will become indispensable.
The company's growth from founding in 2017 to 100+ employees reflects strong market demand for solutions addressing the operations bottleneck—a trend unlikely to reverse as complexity increases and labor constraints persist.