Speedata
Speedata, an Israeli chip startup founded in 2019, is developing the Analytics Processing Unit (APU), a processor designed to accelerate Apache Spark SQL, batch ETL, and AI data preparation workloads.
Profile
Speedata builds a specialized processor, the Analytics Processing Unit (APU), to speed up big data analytics and AI data preparation workloads.
Speedata, an Israeli chip startup founded in 2019, is developing the Analytics Processing Unit (APU), a processor designed to accelerate Apache Spark SQL, batch ETL, and AI data preparation workloads. The company emerged from stealth in 2021 with $70 million in funding and raised a $44 million Series B in June 2025, bringing total capital raised to $114 million. The Series B was led by existing investors including Walden Catalyst Ventures, 83North, Koch Disruptive Technologies, Pitango First, and Viola Ventures, with participation from strategic investor Lip-Bu Tan, CEO of Intel.
Speedata claims its early adopters have seen an average of 50x better performance over CPUs for critical Spark workloads, with a path to 100x improvement, and head-to-head tests against GPUs yielded an average 91% capital reduction for the APU, plus 94% space savings and 86% power savings. The company is headquartered in Israel and led by Dan Eaton (CSO), Bam Gobets (VP EMEA), and Dani Voitsechov (VP R&D, Co-Founder). Speedata's APU targets the growing market for data analytics acceleration, competing with CPU and GPU-based solutions from Intel, AMD, and Nvidia.
The company's website promotes live demos and participation in events like HPE Discover Barcelona. No specific revenue, headcount, or named customer data is publicly available. The company's financial trajectory is not disclosed, and it remains a private, venture-backed startup.
Who buys this
- Enterprises running large-scale Apache Spark SQL and batch ETL pipelines
- Data centers seeking to reduce compute costs and power consumption for analytics
- Organizations with AI data preparation workloads that are bottlenecked by CPU performance
- Companies evaluating alternatives to GPU-based acceleration for analytics
Strengths and what to watch
Strengths
- Purpose-built silicon for analytics workloads, claiming 50-100x performance improvement over CPUs and 91% capital cost reduction versus GPUs
- Strong investor backing with $114 million total funding from notable VCs and strategic investors including Intel's CEO
- Clear market positioning in a growing niche: hardware acceleration for data analytics, distinct from general-purpose CPUs and AI-focused GPUs
Watch for
- No publicly disclosed revenue, customer names, or production deployments, making it difficult to validate performance claims outside of controlled benchmarks
- Competition from established players like Nvidia (GPUs), Intel (CPUs, FPGAs), and AMD, who have far larger R&D budgets and existing customer relationships
- As a fabless chip startup, Speedata faces significant execution risk in manufacturing, supply chain, and scaling from prototype to volume production
Recent moves
Key Information
- Industry
- AI Hardware
- Founded
- 2019
- Headquarters
- Israel
Frequently Asked Questions
What is Speedata's Analytics Processing Unit?
Speedata's Analytics Processing Unit, or APU, is a specialized processor designed to accelerate big data analytics and AI data preparation workloads. It targets Apache Spark SQL, batch ETL, and similar tasks, aiming to outperform general-purpose CPUs and GPUs in these specific areas.
How much funding has Speedata raised and who are the investors?
Speedata has raised $114 million total, including a $44 million Series B in June 2025. Investors include Walden Catalyst Ventures, 83North, Koch Disruptive Technologies, Pitango First, Viola Ventures, and strategic investor Lip-Bu Tan, CEO of Intel.
How does Speedata's APU compare to CPUs and GPUs in performance?
Speedata claims its APU delivers an average 50x better performance over CPUs for critical Spark workloads, with a path to 100x improvement. In head-to-head tests against GPUs, the APU achieved an average 91% capital cost reduction, 94% space savings, and 86% power savings.
What customer segments does Speedata target with its APU?
Speedata targets enterprises running large-scale Apache Spark SQL and batch ETL pipelines, data centers aiming to reduce compute costs and power consumption, organizations with AI data preparation bottlenecks, and companies evaluating alternatives to GPU-based acceleration for analytics.
Who are Speedata's main competitors in the chip market?
Speedata competes with established players like Nvidia, which offers GPUs for AI and analytics, Intel with CPUs and FPGAs, and AMD. These companies have larger R&D budgets and existing customer relationships, posing a significant competitive challenge for the startup.
Does Speedata have any publicly known customers or revenue?
No, Speedata has not publicly disclosed any customer names, revenue figures, or production deployments. Its performance claims are based on controlled benchmarks and early adopter results, making independent validation difficult without more transparent data.
Sources
- www.speedata.io — Company product description, APU claims, leadership names, event participation
- techcrunch.com — Series B funding amount ($44M), total raised ($114M), investor names, strategic investor Lip-Bu Tan
- techcrunch.com — Historical funding and stealth emergence in 2021
- investors.sensata.com — Sensata Technologies Q1 2026 earnings (irrelevant to Speedata, included in dossier but not used)