DualBird Secures $25 Million Funding Led by Lightspeed to Revolutionize AI Data Processing
- ByStartupStory | November 6, 2025
DualBird, a US-based AI infrastructure startup, has raised $25 million in a combined Seed and Series A funding round led by Lightspeed Venture Partners, with significant participation from Bessemer Venture Partners, Angular Ventures, and Uncork Capital. The investment will support DualBird’s mission to redefine data processing for the AI era by delivering hardware-grade acceleration through a cloud-native hardware-software engine.
DualBird’s unique technology combines the power of rewritable hardware with the simplicity of software, enabling enterprises to accelerate data workloads by 10 to 100 times while reducing infrastructure costs by 50 to 90 percent. The company’s lightweight plug-in seamlessly integrates with existing systems without requiring any changes to workflows or infrastructure.
The startup’s founding team, comprising veterans from Amazon AWS and the semiconductor industry, identified a critical need for purpose-built data infrastructure to meet the surging demand for compute power driven primarily by AI workloads. As McKinsey projects nearly $7 trillion in data center investment by 2030 to accommodate growth, DualBird offers a cost-effective and scalable solution to the escalating challenges enterprises face in data processing.
The new funding will enable DualBird to expand its sales and customer success teams, enhance go-to-market strategies, and strengthen partnerships with global enterprise customers ahead of its anticipated general availability in early 2026.
DualBird stands at the forefront of a paradigm shift in data infrastructure by fusing hardware and software into a single engine that delivers unparalleled performance and cost efficiency for AI-driven workloads.
In summary, the $25 million funding round led by Lightspeed Venture Partners validates DualBird’s breakthrough approach to AI data processing, positioning the startup as a major innovator in next-generation cloud and AI infrastructure.






