DualBird Raises $25 Million to Accelerate Cloud-Native Data and AI Infrastructure
DualBird, a data infrastructure startup developing a cloud‑native hardware‑software engine to accelerate big data analytics and AI workloads, has successfully secured significant venture funding to support its growth and prepare for broader market launch. On November 5, 2025, the company announced it had raised $25 million in combined Seed and Series A funding, marking a major milestone in its efforts to redefine performance and cost efficiency for enterprise data processing.
The $25 million funding round was led by Lightspeed Venture Partners, a prominent venture capital firm known for backing transformative enterprise and infrastructure technologies. Joining Lightspeed were a robust group of participating investors, including Bessemer Venture Partners, Angular Ventures and Uncork Capital. Collectively, this syndicate represents a mix of seasoned enterprise tech and early‑stage investors with deep experience in scaling data, cloud and infrastructure‑oriented companies.
Founded in 2021 and headquartered in Boston with ties to Israeli tech talent, DualBird has built a cloud‑native engine that fuses hardware acceleration with software simplicity. The company’s platform leverages rewritable hardware technologies such as FPGAs to deliver 10–100× performance improvements and 50–90% cost reductions on data processing workloads without requiring customers to overhaul existing infrastructure or change codebases. The technology is delivered through lightweight plug‑ins compatible with popular data systems, allowing enterprises to accelerate analytics pipelines, AI model retraining tasks, and other data‑intensive workloads with minimal integration friction.
In announcing the funding, DualBird’s leadership highlighted the growing compute demands across enterprise IT environments — particularly driven by AI and analytics — and the limitations of traditional CPU‑bound architectures. “Data processing is the biggest workload still stuck on general‑purpose CPUs,” said DualBird co‑founder and CEO Amir Gilad, underscoring the need for purpose‑built performance solutions that don’t sacrifice software flexibility. CTO and co‑founder Gilad Tal added that DualBird’s approach of merging hardware and software in the cloud positions the company to address bottlenecks that constrain modern data workloads.
The financing will be used to build out DualBird’s sales and customer success teams, expand go‑to‑market efforts, and strengthen partnerships with global enterprises ahead of the platform’s general availability planned for early 2026. The company’s roadmap reflects an ambition to tap into the surging demand for more efficient data processing infrastructure as businesses grapple with escalating data volumes and AI‑driven compute requirements.
DualBird’s founding team also includes co‑founders Ehud Eliaz and Ohad Gamliel, combining deep experience from Amazon AWS and the semiconductor industry with expertise in both hardware and software development. This blend of backgrounds has informed the company’s focus on delivering hardware‑grade acceleration via cloud‑native frameworks — with the goal of making advanced performance improvements broadly accessible to enterprises without the traditional costs and complexity associated with custom hardware deployments.
Industry observers note that the company’s funding trajectory — combining Seed and Series A into a unified capital round — reflects both investor confidence and the strategic nature of DualBird’s technological vision. By rallying support from established backers in enterprise tech and VC firms with infrastructure portfolios, DualBird is positioned to compete in a territory where traditional database and analytics tools are increasingly strained by AI workloads.
Prior foundations for DualBird’s work include an earlier $8 million Seed round, backed by Uncork Capital among others, which helped the company validate its early prototypes and begin initial customer deployments. With the latest combined funding now totaling $25 million, DualBird aims to accelerate adoption with enterprise partners and refine its product offerings ahead of broader commercial rollout.
As the company moves toward general availability, its strategy focuses on easing enterprise transitions to higher‑performing data infrastructure without costly migrations or complex re‑architectures. With robust venture support and a technology stack designed for emerging AI and analytics workloads, DualBird is advancing toward a competitive position in the evolving landscape of data infrastructure solutions where performance, cost, and ease of use are key differentiators.
