Hammerspace

Hammerspace

Data orchestration across multi-cloud environments

Overview

Hammerspace offers data management and access across multiple storage systems and cloud platforms. Its Data Orchestration System lets users and applications read and write data anywhere—from any data center or cloud—creating a Global Data Environment. The product works by coordinating data across hybrid and multi-cloud deployments to provide fast, consistent access to large datasets while keeping storage under centralized control. This approach differs from traditional storage by removing silos and enabling seamless cross-cloud data access and management at scale, which is especially useful for large enterprises and specialized organizations with big data needs. The company's goal is to enable organizations to access and use data wherever it resides, across any cloud or data center, to support data-driven operations and analytics while ensuring legitimate use of data.

Significant Headcount Growth

About Hammerspace

Simplify's Rating
Why Hammerspace is rated
B-
Rated B on Competitive Edge
Rated B on Growth Potential
Rated C on Differentiation

Industries

Data & Analytics

Enterprise Software

AI & Machine Learning

Company Size

201-500

Company Stage

Late Stage VC

Total Funding

$177.1M

Headquarters

Los Altos, California

Founded

2018

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Simplify's Take

What believers are saying

  • March 2026 NVIDIA and Oracle partnerships expand distribution into sovereign and AI accounts.
  • March 2026 Carahsoft access opens federal, state, and local government procurement channels.
  • March 2026 Secuvy integration and May 2026 Asia-Pacific expansion widen enterprise AI use cases.

What critics are saying

  • AI platform rivals like WEKA and VAST target the same GPU-storage budget in 2026.
  • The March 2026 AI push depends on partners like NVIDIA, Oracle, Carahsoft, and Secuvy.
  • Jeff Giannetti's February 2026 exit signals revenue-organization churn during scaling.

What makes Hammerspace unique

  • Hammerspace's March 2026 AIDP unifies data in place across cloud and on-premises.
  • Its March 2026 NVIDIA reference design ties orchestration directly to Blackwell GPU workflows.
  • FIPS 140-3 validation and Kerberos support strengthen regulated-deployment credibility through 2026.

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Funding

Total Funding

$177.1M

Above

Industry Average

Funded Over

3 Rounds

Late VC funding comparison data is currently unavailable. We're working to provide this information soon!
Late VC Funding Comparison
Coming Soon

Benefits

Health Insurance

Dental Insurance

Vision Insurance

Life Insurance

Disability Insurance

401(k) Retirement Plan

401(k) Company Match

Flexible Work Hours

Unlimited Paid Time Off

Growth & Insights and Company News

Headcount

6 month growth

2%

1 year growth

6%

2 year growth

8%
PR Newswire
Jul 6th, 2026
Hammerspace to showcase how enterprises can dramatically improve AI infrastructure efficiency at RAISE Summit 2026.

Hammerspace to showcase how enterprises can dramatically improve AI infrastructure efficiency at RAISE Summit 2026. Hammerspace Jul 06, 2026, 08:00 ET Hammerspace to demonstrate how data orchestration improves AI economics by accelerating time-to-value, reducing time-to-first-token and keeping GPUs continuously productive. REDWOOD CITY, Calif., July 6, 2026 /PRNewswire-PRWeb/ - Hammerspace, the high-performance data platform for AI anywhere, today announced its senior executive team will participate in RAISE Summit 2026, taking place July 8-9 at the Carrousel du Louvre in Paris. At Booth 3B, Hammerspace will demonstrate how enterprises can win the AI infrastructure race before the first token by eliminating one of AI's largest hidden constraints: data readiness. As enterprise inference and RAG deployments accelerate, AI economics are not defined by GPU counts or storage performance alone. AI outcomes depend on how quickly environments become productive, how rapidly workloads gain access to the right data, and how efficiently infrastructure keeps GPUs generating useful output. The Hammerspace Data Platform addresses these challenges by unifying the data estate on existing storage and automating data orchestration to make data available where GPUs need it without large-scale data migration or new storage procurement. At RAISE Summit, attendees will learn how Hammerspace improves three metrics that determine AI success: * Time to Very First Token: Reducing the time required to make enterprise data AI-ready so projects can begin in days instead of months. * Time to First Token: Orchestrating and pre-positioning data so AI workloads can begin generating results faster. * Time per Token: Continuously supplying GPUs with the right data to improve utilization and lower the effective cost of AI operations. "AI leadership has been shaped by model innovation, infrastructure scale and access to data," said David Flynn, founder and CEO of Hammerspace. "The next challenge is efficiency: how quickly organizations can activate their own enterprise data and turn it into useful AI output without unnecessary delay, cost or operational complexity." Traditional AI deployment models often treat AI readiness as an infrastructure project, requiring organizations to acquire new storage, build new environments and migrate data before productive work can begin. Hammerspace's Data Platform instead treats AI readiness as a data availability challenge, enabling organizations to use data in place across existing storage systems and cloud environments while creating a unified global namespace for AI workloads. By continuously discovering, orchestrating and positioning data where AI workloads need it, Hammerspace reduces idle GPU cycles, minimizes unnecessary data movement and helps organizations improve productive GPU utilization while lowering cost per token. Hammerspace's Data Platform enables organizations to: * Activate enterprise data in place across existing storage systems and cloud environments * Eliminate storage procurement and migration delays that traditionally postpone AI initiatives * Unify distributed data through a global namespace without creating additional silos * Pre-position data before workloads require it, reducing time to first token * Continuously orchestrate active data throughout AI pipelines to maximize GPU productivity Organizations using traditional storage-first AI data approaches may spend between 14 and 30 weeks acquiring infrastructure and migrating data before productive AI work begins. Hammerspace can reduce that timeline to as little as a few days to one week, representing acceleration of up to 70x. "Hammerspace changes the operating model for enterprise AI by making data available where AI workloads need it, without forcing organizations into months of storage procurement, migration and manual data movement," Flynn added. "That means teams can start faster, use existing infrastructure more efficiently, and keep AI pipelines supplied with the data required to produce results." Executive Speakers at RAISE Summit David Flynn will present on the Main Stage on July 8, sharing how organizations can rethink AI infrastructure around the economics that matter most: speed to token generation, continuous GPU productivity and cost-efficient AI operations. Molly Presley, Hammerspace SVP of Global Marketing, will present on July 9 on the Grace Hopper Stage in a session titled "The Data Problem: What AI Actually Runs On," examining why data readiness, not infrastructure procurement, has become the defining challenge for enterprise AI. About Hammerspace Hammerspace is the high-performance data platform built to simplify and optimize AI infrastructure at scale. It makes all your data immediately accessible - anywhere across on-premises and cloud environments - without copying or migrating data into new silos. By integrating with existing storage, networking, and applications, Hammerspace creates a unified, high-speed data backbone for AI, enabling organizations to accelerate every stage of the AI pipeline while eliminating data silos. Media Contact Kim Pegnato, Hammerspace, 1 781-835-7118, [email protected], www.hammerspace.com SOURCE Hammerspace

Associated Press
Apr 1st, 2026
Secuvy partners with Hammerspace to accelerate AI production with data intelligence and orchestration

Secuvy, a data intelligence platform, has partnered with Hammerspace to address three key challenges preventing enterprise AI initiatives from reaching production: data readiness, infrastructure performance and time to deployment. Secuvy provides continuous data discovery, classification and risk assessment across unstructured data using AI-driven autoclassification. The platform creates a "Trusted Data Plane" ensuring only appropriate, sanitised data enters AI pipelines, with classification completed in days rather than months. Hammerspace offers a high-performance data platform that unifies distributed data across cloud and on-premises environments, orchestrating data movement to optimise processing whilst minimising duplication. The integrated offering, delivered as a hardware-software appliance through partners including SHI and ePlus, aims to compress typical AI data readiness timelines from quarters to weeks, enabling organisations to deploy AI applications with measurable ROI at scale.

GlobeNewswire
Mar 25th, 2026
Hammerspace and Carahsoft partner to bring high-performance data orchestration to the Public Sector.

Hammerspace and Carahsoft partner to bring high-performance data orchestration to the Public Sector. Powerful AI Anywhere solutions now available to government agencies. REDWOOD CITY, Calif. and RESTON, Va., March 25, 2026 (GLOBE NEWSWIRE) - Hammerspace, the high-performance data platform for AI Anywhere, and Carahsoft Technology Corp., The Trusted Government IT Solutions Provider(R), today announced a partnership. The Hammerspace platform delivers unified data management and storage through a single multi-protocol global namespace, a global parallel file system and accelerated data orchestration software. Under the agreement, Carahsoft will serve as Hammerspace's Public Sector distributor, bringing the company's innovative Data Platform to the Public Sector through Carahsoft's reseller partners and NASA Solutions for Enterprise-Wide Procurement (SEWP) V and Information Technology Enterprise Solutions - Software 2 (ITES-SW2) contracts. "Carahsoft's expertise in providing IT solutions to the Public Sector and its extensive ecosystem of Government partners make them an ideal partner for Hammerspace," said Gregg Machon, Global Vice President, Channel Sales & Operations at Hammerspace... "Together, we help Federal, State and Local agencies unlock the full potential of their data, enabling faster innovation, improved collaboration and more efficient mission outcomes across distributed environments." Hammerspace consolidates unstructured data into a global namespace that provides enterprise organizations with fast data access across sites, clouds and storage. With the Hammerspace Data Platform, unstructured dataand hardware in on-premises, cloud or edge environments become globally accessible through standard protocols without proprietary client software or agents. The Platform's data orchestration services deliver data to AI or high-performance workloads without disrupting users or applications. Additionally, Hammerspace software automates control of distributed data with a policy engine that manages data protection, data placement and other essential data services. Further, Hammerspace's AI Data Platform (AIDP) solution offers a turnkey approach that removes one of the biggest barriers preventing enterprise AI pilot projects from reaching production: seamless access to distributed enterprise datasets. This allows organizations to start making their existing data AI-ready using the infrastructure they already own, without deploying a separate AI storage system. By uniquely leveraging data in place, Hammerspace eliminates the need to purchase massive amounts of new flash just to house AI data. "With the addition of Hammerspace to our portfolio, we can better support our Government customers as they manage growing data requirements across on-premise, cloud and edge environments," said Rob Pickle, Sales Director overseeing the Hammerspace Team at Carahsoft. "Hammerspace's data orchestration capabilities strengthen our solution portfolio to help agencies improve data accessibility and performance while maintaining control of critical information assets. We look forward to working with Hammerspace and our reseller partners to deliver these capabilities to the Public Sector." Hammerspace's solutions are available through Carahsoft's SEWP V contracts NNG15SC03B and NNG15SC27B and ITES-SW2 Contract W52P1J-20-D-0042. For more information, contact the Carahsoft Team at (888) 662-2724 or [email protected]; or explore Hammerspace's solutions here. About Hammerspace Hammerspace is the high-performance data platform built to simplify and optimize AI infrastructure at scale. It makes all your data immediately accessible - anywhere across on-premises and cloud environments - without copying or migrating data. By integrating with existing storage, networking, and applications, Hammerspace creates a unified, high-speed data backbone for AI, enabling organizations to accelerate every stage of the AI pipeline while eliminating data silos. Learn more at https://hammerspace.com. Contact IGNITE Consulting, on behalf of Hammerspace Kim Pegnato (650) 750-8400 [email protected] About Carahsoft's AI Portfolio Carahsoft's Artificial Intelligence (AI) Portfolio includes leading and emerging technology vendors who are enabling government agencies and systems integrators to harness the power of AI and ultimately meet mission needs; from creating efficiencies within agencies to bolstering national security and defense. Supported by dedicated AI product specialists and an extensive ecosystem of resellers, integrators, and service providers, Govcloudnetwork help organizations identify the right technology for unique environments and provide access to technology solutions through its broad portfolio of contract vehicles. Its AI portfolio spans solutions for AI Infrastructure, Generative and Agentic AI, Autonomous Systems & Robotics and more. Learn more about Carahsoft's AI Solutions for Government here. About Carahsoft Carahsoft Technology Corp. is The Trusted Government IT Solutions Provider, supporting Public Sector organizations across Federal, State and Local Government agencies and Education and Healthcare markets. As the Master Government Aggregator(R) for its vendor partners, Govcloudnetwork deliver solutions for Artificial Intelligence, Cybersecurity, MultiCloud, DevSecOps, Customer Experience and Engagement, Open Source and more. Working with resellers, systems integrators and consultants, its sales and marketing teams provide industry leading IT products, services and training through hundreds of contract vehicles. Visit Govcloudnetwork at www.carahsoft.com.

Storage Newsletter
Mar 12th, 2026
Corporate Value of the Global AI and Semiconductor Companies Invested by SK Square Increased up to Sevenfold in Two Years

Corporate Value Global AI Semiconductor Companies Invested SK Square Increased Sevenfold Two Years

Business Wire
Mar 10th, 2026
Hammerspace and Secuvy partner to accelerate secure AI deployment across on-premises and cloud

Hammerspace, a high-performance data platform for AI, has partnered with Secuvy to deliver a data-first approach that secures and unifies distributed unstructured data across on-premises and cloud environments. The integration combines Hammerspace's data orchestration capabilities with Secuvy's continuous data discovery and classification technology. The partnership addresses a key bottleneck in enterprise AI deployment: fragmented data across edge sites, legacy systems and multiple clouds. Hammerspace enables AI pipelines to access distributed data in place, whilst Secuvy continuously identifies sensitive information and applies governance controls across hybrid environments. The solution provides organisations with a unified global view of unstructured data, policy-controlled access based on risk, and just-in-time data movement to compute resources. This allows enterprises to scale AI securely without duplicating data or rearchitecting existing projects.

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