What is OnScale?
Founded in 2017, OnScale provides on-demand, scalable engineering simulation software that bridges the gap between complex multiphysics modeling and cloud-based high-performance computing. Unlike legacy simulation tools that are often constrained by local hardware limitations, OnScale offers a flexible, cloud-native environment that allows engineers to run massive simulations in parallel. This capability is essential for industries where time-to-market and development costs are critical competitive factors.
The company's platform is specifically engineered to support the rigorous demands of modern hardware development, such as 5G infrastructure and biomedical devices. By democratizing access to advanced simulation, OnScale enables organizations to iterate faster and optimize product performance before physical prototyping, effectively reducing the financial risk associated with complex engineering projects.
How much funding has OnScale raised?
OnScale has raised a total of $10.3M across 2 funding rounds:
Series A
$10M
Debt
$350K
Series A (2019): $10M with participation from Intel Capital and Gradient Ventures
Debt (2020): $350K led by PPP
Key Investors in OnScale
Intel Capital
A prominent corporate venture capital arm of Intel, focusing on early-to-growth stage investments in AI, autonomous systems, 5G, and cloud computing infrastructure.
Gradient Ventures
A venture capital firm specializing in AI-first startups, providing technical mentorship and capital to companies building the next generation of intelligent software.
PPP
Public-Private Partnership
What's next for OnScale?
With the recent influx of capital, OnScale is well-positioned to accelerate its product roadmap and deepen its penetration into the enterprise software market. The strategic focus will likely center on enhancing the platform's interoperability with existing CAD and CAE workflows, ensuring seamless integration for global engineering teams. Furthermore, the company is expected to leverage its cloud-based architecture to introduce more sophisticated AI-driven simulation features, which will further differentiate its offering in the competitive landscape of digital engineering.
As the demand for high-fidelity simulation grows in the context of the digital twin revolution, OnScale's ability to provide scalable, cost-effective solutions will be paramount. The company's trajectory suggests a continued emphasis on strategic partnerships and technological innovation, aimed at solidifying its role as the backbone of next-generation product design and validation.
