Speedata
speedata.io
Actively hiring
Query Engines & Big Data Processing
Processors, MCUs & AI Chips
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Financials
Funding and backers
Total raised
$114M
2 rounds on record
Latest round
$44M
Series B · Jun 2025 · 16 mo ago
Team
51-200
employees, estimated range
Backers
2
83North, Walden Catalyst Ventures
The money's age
Due for its next round
16 months since the last round · not hiring
Momentum
15/100
in the news
Last sign of life
this month
a posting or a news item
The story so fareach stage dated by its source: the company's releases, the press, registers, filings
Jun 3, 2025
Raised a round Series B $44M · TechCrunch
Jun 20, 2023
Launched Speedata Launches Workload Analyzer - A Tool for Enterprises Looking to Accelerate Spark Queries · prnewswire.com
Sep 30, 2021
Raised a round Venture round $70M · TechCrunch
2019
Founded
Tractionpublic signals, read monthly
Web presence
top 2%
of 133.2M domains by links, Common Crawl
Funding rounds
| Round | Date | Amount | Investors | Source |
|---|---|---|---|---|
| Series B | Jun 2025 | $44M | — | TechCrunch |
| Venture round | Sep 2021 | $70M | — | TechCrunch |
Backed byfrom the funds' portfolios and accelerator catalogs
83North 
Walden Catalyst Ventures Investors in similar startupsfunds that back the companies most like this one
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Overview
Speedata is an Israeli semiconductor company building a processor purpose designed for big data analytics workloads. Its analytics processing unit accelerates queries and data pipelines that normally run on general purpose servers. The company targets data centre operators facing rising analytics costs.
News
Arteris Deployed bySpeedatafor Data Center Compute
Arteris network-on-chip (NoC) IP supports scalable high-performance data movement in Speedata's purpose-built Analytics Processing Unit (APU) for large-scale data analytics workloadsCAMPBELL, Calif., July 21, 2026 (GLOBE NEWSWIRE) -- Arteris, Inc. (Nasdaq
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Report
Maximizing Hardware Efficiency: How Speedata Solves the Firmware Challenge with a Promise-based Async Framework
The golden rule of high-performance hardware is that the firmware's #1 job is to keep the hardware accelerators busy. In the world of big data analytics, every single cycle that an engine sits idle is wasted throughput. At Speedata, we developed the C200
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Report
259 Faster! What Microsoft's Award-Winning SIGMOD Paper Says About the Speedata APU
Microsoft's paper "CoddSpeed: Hardware Accelerated Query Processing in Microsoft Fabric" won the Best Industry Paper Award at SIGMOD 2026, one of the top academic conferences in database research. The paper documents Microsoft's multi-year effort to move
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Report
Know Your Unknowns: Building Knowledge Bases for Your VLSI Engineering Organization (Practical Rules)
Practical guidelines for making AI coding agents work in real VLSI design environments, skills, context, traceability, and the human-only decisions.
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Report
APU vs. LPU vs. TPU vs. GPU vs. CPU: When to Use Each One
Not every workload belongs on a GPU. From CPUs to APUs, TPUs, and LPUs - five processors, five jobs, and a clear guide to picking the right one for AI, analytics, and inference at scale.
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Report
One Chip Can't Do It All - The New AI Tech Stack
No single processor can handle every AI workload efficiently. Speedata's recap breaks down how CPUs, GPUs, TPUs, LPUs, and APUs each fit into the modern AI infrastructure stack.
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Report
A Case Study - Post-Training Scheme for AI Assisted Chip Verification: UART-to-AXI Block
A real-world Speedata case study on AI-assisted VLSI verification - how we embedded AI agents into a UVM workflow using a UART-to-AXI bridge with a structured post-training scheme.
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Report
Embedding AI in Chip Development: Challenges and Opportunities
RTL is crown-jewel IP, hardware assigns concurrently not sequentially, and most enterprise GenAI pilots are failing. The software AI playbook doesn't transfer to chip design - the training data isn't there, the semantics don't map. Here's what it actually
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Offices
Where the company hires and what each office is for
Cities
1
Hiring now
0
Countries
1
Netanya
Israel
HQ
50-200 est. staff