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TidalScale

Other B2B Software · Los Gatos, United States · Founded 2012

Simplifies the way companies can apply computing resources to big problems MoreLess

TidalScale, founded in 2012, operates in the software-defined infrastructure market, offering a solution to address the challenges of scaling applications for large, in-memory workloads. The company was started by Ike Nassi, who previously served as an Executive Vice President and Chief Scientist at SAP, along with Kleoni Ioannidou and Michael Berman. Nassi's background in the development of in-memory databases like SAP HANA informed the company's direction, aiming to overcome the physical limitations of how much memory a single server can access. Gary Smerdon joined as President and CEO in 2016.

The core of TidalScale's business is its software-defined server technology, which aggregates the CPU cores, memory, and I/O of multiple commodity servers, making them function as a single, large virtual server. This approach, termed "inverse virtualization," allows organizations to create a system with a massive memory pool without rewriting existing applications or changing the operating system. The technology is designed for enterprises with data-intensive, mission-critical applications that would otherwise require expensive, monolithic "scale-up" servers, such as those running large databases (e.g., Oracle, SAP HANA), analytics, or data mining operations. By using standard off-the-shelf hardware, the company posits a lower total cost of ownership (TCO) for its clients.

TidalScale's product is a software solution that sits between the hardware and the operating system. A key feature is its use of machine learning to continuously optimize the allocation of virtualized resources like vCPUs and memory pages across the cluster of physical servers to enhance performance. A patented feature called TidalGuard monitors the health of the physical servers, enabling failing hardware to be hot-swapped without system downtime. This capability reportedly adds "two nines" to overall system uptime and allows for maintenance and security updates with zero downtime. The platform runs on-premises or in public clouds like AWS and IBM Cloud, aggregating multiple bare-metal instances into a single virtual server. The company has secured significant funding from investors including Bain Capital Ventures, Infosys, SK Hynix, and Sapphire Ventures, raising a total of $91.3 million over nine rounds.

Keywords: software-defined server, inverse virtualization, in-memory computing, big data infrastructure, server aggregation, virtual machine, scale-up computing, data center optimization, high-performance computing, large-scale database, workload consolidation, IT infrastructure, cloud computing, bare metal virtualization, system scalability, enterprise software, data-intensive applications, TCO reduction, hardware virtualization, cluster computing

Talent graph

TidalScale's talent

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Team profiled 13 named & role-tagged
Founders Hidden — book a demo/100 quality score
Key operators 2 quality Hidden — book a demo/100
Potential founders Hidden — book a demo likely future founders
Startup mafia Hidden — book a demo alumni-founded startups
Talent movements Hidden — book a demo in · Hidden — book a demo out past 12 months

Source: Dealroom Talent Intelligence.

Investors

8 investors on TidalScale's cap table

Sourced from Dealroom's funding history. Investor profile links are shown where available.

Seed 5 investors entered at this stage
Citrix Startup Accelerator
HWVP
Bain Capital Ventures
Samsung Catalyst Fund
Samsung Ventures
Series A 3 investors entered at this stage
Bain Capital
Infosys
SK Hynix

Global footprint

Where TidalScale has talent and traffic

Workforce by country
1 countries with
team presence
🇺🇸 United States100%
1 country shown

Market sentiment

What the market is saying about TidalScale

An AI-synthesized read of the highest-engagement posts about TidalScale on X over the past 7 days. We rank by likes & retweets, ignore corporate channels, and surface the themes that broke out from real people.

Reading the room on X — pulling top posts and synthesizing themes…

Source: X recent search ranked by engagement (likes + retweets) · Synthesis by Claude · Cached for 1 hour

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