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.”
Read More – Litmus Receives Additional Investment
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.
Read More – Flux Marine Raises $15M in Funding
