For the past 3 years, we've been building the next generation of analytics and AI infrastructure. Today, we’re finally ready to show the world what we’ve built.
We're delivering performance achievable only with custom dedicated hardware, but 100% cloud-native: no migration, no integration effort, and no changes to the data stack.
“Data processing is the biggest workload still stuck on general-purpose CPUs. It deserves purpose-built processors just like AI has GPUs.” said our co-founder and CEO Amir Gilad, “Companies are pouring millions into data pipelines, AI data infrastructure, and analytics, creating the demand for entirely new engine architecture.”
That's why we built DualBird—and why we raised $25 million to scale it. Led by Lightspeed Venture Partners, with backing from Angular Ventures, Uncork Capital, and Bessemer Venture Partners, we're taking down the traditional divide between hardware and software.
The Solution: Hardware Performance, Software Simplicity
Our cloud-native engine delivers 10-100x faster performance and 50-90% cost savings through a lightweight plug-in. Just drop it in and watch workloads that took hours finish in minutes.
We leverage rewritable hardware in the cloud—think FPGAs—to deliver specialized acceleration instantly, without any of the traditional pain of custom hardware deployment. Processes once too expensive to run each week, such as preparation of the data for AI model retraining, can now run every day, and on larger amounts of data.
Early deployments with design partners are already showing dramatic performance gains, cutting workloads from hours to minutes with zero code changes.

Who We Are
Our founding team: Gilad Tal, Amir Gilad, Ehud Eliaz, and Ohad Gamliel, are veterans of the semiconductor industry, with experience in key companies such as Amazon AWS. Each member of the team has deep expertise in both hardware development and software development, positioning us uniquely to fuse the stack.
"In 5 years, the processing of every byte of data will go through DualBird," said our CTO Gilad Tal.
We're using this funding to build out sales and customer success teams, expand go-to-market efforts, and strengthen partnerships with global enterprises ahead of general availability in early 2026.
The bottom line: If you're drowning in data infrastructure costs, we're here to help.



