Speedata has raised $114.0M in total across 3 funding rounds.
Speedata's investors include 83North, Celesta, Matias Ventures, Mayfield, Pitango Venture Capital, Walden International.
Speedata is an Israeli semiconductor startup founded in 2019 that builds the world's first purpose-built Analytics Processing Unit (APU), an ASIC processor designed to accelerate data analytics workloads like Apache Spark and Presto by up to 100x in performance while slashing costs, power, and space usage by 86-95%[1][2][4][5]. It serves enterprises in data-intensive sectors such as life sciences, pharmaceuticals, cloud data centers, and AI data preparation, solving core bottlenecks in I/O, processing, and memory for massive datasets without requiring code changes or new software frameworks[1][2][5]. Early adopters report 50x better performance than CPUs, with the C200 APU enabling interactive analytics on billion-row datasets, freeing compute for high-value tasks and boosting productivity[2][5].
Speedata emerged from decades of expertise in semiconductors, software, and cloud infrastructure, with roots in meticulous research addressing analytics hardware gaps[1][4]. CEO Alon Webman, a co-founder, spent 19 years at Mellanox (acquired by Nvidia in 2020 for $7B), bringing deep hardware acceleration knowledge; he leads alongside Adi Gelvan (CEO since 2025, serial entrepreneur post-chip tape-out) and Gal Barnea (VP Software, ex-CTO Eyeview/AWS Redshift)[1][4]. The idea crystallized around optimizing cloud and on-prem data centers for analytics' "big three" problems—I/O, compute, memory—leading to a $8M seed round and rapid development of the APU, which integrates seamlessly with existing ecosystems[1][4]. Pivotal early traction includes demos proving 50x gains and expanding commercial interest by 2025[2][4].
(Note: A separate Beijing-based Speedata from 2008 focuses on IoT handheld terminals and is unrelated, having been acquired by Newland Group in 2019[3].)
Speedata rides the explosion of data volume from AI/ML, where traditional CPUs waste 90%+ compute on analytics bottlenecks, delaying insights and inflating cloud bills amid rising ETL/AI prep demands[2][5]. Timing is ideal post-2020s AI boom and hyperscaler shifts to custom silicon (e.g., Nvidia dominance), as enterprises seek sustainable alternatives to GPU sprawl for non-training workloads like data cleaning[1][4]. Market tailwinds include $100B+ analytics spend and green data center mandates, positioning Speedata to influence ecosystems by enabling "analytics at silicon speed"—fueling faster AI pipelines, revenue insights, and reduced carbon footprints for cloud providers and pharma/life sciences[1][2][5].
Speedata's post-tape-out momentum under new CEO Adi Gelvan signals commercialization ramp-up, with C200 deployments likely driving partnerships with AWS-like hyperscalers and 100x APU iterations[4]. Trends like agentic AI and real-time analytics will amplify demand, evolving Speedata from niche accelerator to data center staple, potentially mirroring Mellanox's billion-dollar exit path amid custom silicon wars[1][4]. As data explodes, Speedata redefines analytics infrastructure, delivering the hardware edge enterprises need to turn petabytes into instant competitive advantage.
Speedata has raised $114.0M across 3 funding rounds. Most recently, it raised $44.0M Series B in June 2025.
| Date | Round | Lead Investors | Other Investors |
|---|---|---|---|
| Jun 1, 2025 | $44.0M Series B | 83North, Celesta, Matias Ventures, Mayfield, Pitango Venture Capital, Walden International | |
| Sep 1, 2021 | $55.0M Series A | 83North, Celesta, Matias Ventures, Mayfield, Pitango Venture Capital, Walden International | |
| Dec 1, 2019 | $15.0M Seed | 83North, Matias Ventures, Pitango Venture Capital, Walden International |
