BOSTON, Sept. 12, 2018 (GLOBE NEWSWIRE) -- Wasabi, the hot cloud storage company, today announces the closing of a Series B financing round totaling $68 million. Wasabi refrained from conventional venture capital, preferring instead to raise money from industry veterans and family offices. The investment is a testament to Wasabi’s progress in becoming a leading vendor of cheap, fast, and secure cloud storage. In just over a year, Wasabi has acquired more than 3,000 customers across a wide range of industries.

Wasabi + Autotask: simplifying cloud storage management for MSPs. October 6, 2026 Daniel Collins Senior Product Marketing Manager For managed service providers (MSPs), scaling the business shouldn't mean scaling manual work along with it. As customer environments grow, moving between platforms to provision accounts, track usage, and reconcile billing can add unnecessary complexity to day-to-day operations. That's why Wasabi is introducing a new integration between Autotask PSA and Wasabi Account Control Manager. The integration brings Wasabi account provisioning, usage reporting, and service management into the Autotask workflows MSPs already use to run their businesses, helping teams reduce manual administration while maintaining control over how services are delivered. Bring Wasabi into the Autotask workflow. For many MSPs, the PSA platform sits at the center of business operations, connecting customers, service delivery, contracts, technicians, and billing. Adding a cloud storage service shouldn't require teams to create an entirely separate operational process. The Autotask integration connects those existing workflows directly with Wasabi Account Control Manager. Using Connect APIs, MSPs and resellers can provision Wasabi channel and sub-accounts through Autotask without having to move between platforms. Existing Wasabi Account Control Manager accounts can also be mapped to the appropriate Autotask accounts, allowing MSPs to bring both new and existing customers into the same operating model. Because the integration works through Wasabi Account Control Manager and Autotask APIs, there's no additional agent or software that needs to be installed at customer sites. Customer objects stored in Wasabi never pass through Autotask; the integration connects management and business workflows only, not the data itself. Automate provisioning without giving up control. Automation is valuable, but MSPs still need control over when customer services are provisioned. The Wasabi and Autotask integration is designed around an approval-driven workflow that combines both. MSPs can initiate Wasabi account provisioning through a standard Autotask service desk ticket. Once the appropriate request is approved, the integration can automatically create the corresponding channel or sub-account within Wasabi Account Control Manager based on the customer type. Account information is then returned through the Autotask workflow. This allows MSPs to standardize and automate onboarding while maintaining the internal approvals and processes they already have in place. Account suspension can also be incorporated into the workflow, helping MSPs manage more of the customer lifecycle directly through Autotask. Connect storage usage with business operations. Provisioning is only one part of managing a growing cloud storage business. MSPs also need visibility into how much storage customers consume so they can manage services and bill accurately. The integration delivers daily and monthly Wasabi usage information into Autotask, giving MSP teams access to relevant consumption data within the same environment where they manage their customers and services. The integration can also create service desk tickets when it detects issues such as usage overages or service disruptions. By reducing the need to manually collect and transfer usage information between Wasabi Account Control Manager and Autotask, MSPs can minimize repetitive data entry and reduce opportunities for transcription errors, missed updates, and reconciliation issues. Autotask remains responsible for the MSP's invoicing and billing workflow, while the Wasabi integration provides the usage and service information needed to support those processes. MSPs retain control over how Wasabi storage is packaged, priced, and sold to their customers. Scale Wasabi as part of your managed services portfolio. The value of automation becomes even greater as an MSP adds customers. Manually coordinating PSA records, customer accounts, usage data, and billing inputs may be manageable for a handful of accounts, but the administrative burden can grow quickly alongside the business. Connecting Wasabi Account Control Manager and Autotask creates a more repeatable process for delivering Wasabi services. MSPs can use familiar Autotask workflows to onboard customers, manage accounts, monitor usage, and support billing without requiring the same level of manual administration for every new customer. That makes it easier to incorporate Wasabi cloud storage into recurring managed services, whether it's being delivered alongside backup and recovery, disaster recovery, cybersecurity, video surveillance, or other data-intensive services. Built for the way MSPs work. The Autotask integration is another step in Wasabi's broader effort to meet MSPs within the tools and workflows they already use. Rather than treating cloud storage as an isolated product that requires its own administrative process, MSPs can make Wasabi part of the same PSA-driven lifecycle they use to manage other services, from customer onboarding and provisioning through usage management and billing. For MSPs already using Autotask, that means less time moving between systems, fewer manual processes, and a more scalable way to build Wasabi into their managed services business. Autotask with WACM. See how Wasabi Account Control Manager connects to Autotask, from setup through provisioning and usage reporting. Most recent. Learn why AI workloads demand a different storage model: no egress fees, true data mobility, and room to scale without penalty. Wasabi and AvePoint explain how AI changes 3-2-1 backup, from why the isolated copy matters more to storage costs. 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Wasabi establishes AI business in Silicon Valley, taps Pinaki Mukherjee to lead as senior vice president & general manager. Semiconductor and storage veteran to lead dedicated AI business to accelerate the independent storage foundation for AI labs, startups, and neocloud push as data demand grows to unprecedented scale. Sep 10, 2026 Prev Next 1 of 43,611 Wasabi Technologies, the hot cloud storage company, announced the formation of a dedicated AI business, and the appointment of semiconductor and storage veteran Pinaki Mukherjee as senior vice president and general manager to lead it. Wasabi stores hundreds of petabytes of AI data for frontier model labs, generative AI startups, and neocloud compute providers worldwide. This new AI business brings dedicated strategy, partnerships and go-to-market focus for this demand as AI infrastructure matures. "Mukherjee has a track record of driving the kind of high-value partnerships that move markets, and that's exactly what this moment requires," said Marty Falaro, president and COO of Wasabi. "AI workloads are pushing storage demand to a scale we've never seen, and Mukherjee is the right person to build the partnerships that extend Wasabi's position as the industry's choice for cloud storage, at the exact moment inference is reshaping what that storage needs to do." Proven leadership in the heart of Silicon Valley Mukherjee brings more than 20 years of experience building technology ecosystems across semiconductors, storage, and AI infrastructure. He will lead Wasabi's AI strategy, partnerships, and go-to-market efforts from Silicon Valley. His track record includes: * Over $2 billion in partnership-driven revenue and more than $10 billion in strategic M&A and investment outcomes * Senior business strategy and corporate development roles at Fungible, Druva, and Western Digital * Leading semiconductor strategy and AI infrastructure engagements at Alvarez & Marsal, a global consulting firm Why AI demand is remaking the storage market Storage has become one of the most strategic line items in AI infrastructure budgets. AI training reads the same datasets tens or hundreds of times over, and inference pipelines move data continuously between storage and GPU compute. Hyperscaler cloud pricing models haven't kept pace with how AI actually operates: data that needs to move freely, repeatedly, and unpredictably across environments. Avoiding vendor lock-in has become a deliberate strategy in its own right as companies want the freedom to adopt new infrastructure as the market shifts, without their own data becoming the obstacle. Wasabi's framework optimizes storage across the entire AI lifecycle, so data moves freely to wherever compute lives, at a flat, predictable cost with no egress or API fees, and no vendor lock-in. Under Mukherjee's leadership, Wasabi will bring this framework to the AI industry at scale. "AI customers don't need another hyperscaler, they need the freedom to move their data wherever their workloads take them, without egress fees, API fees, or lock-in dictating their architecture," said Mukherjee. "Wasabi is already the independent choice that innovative enterprises, neoclouds, and data platforms turn to as they scale beyond what any single hyperscaler ecosystem can offer. I'm looking forward to building the ecosystem that scales that freedom across the AI ecosystem." Built over a decade, delivering ROI at petabyte scale Wasabi has spent a decade building the infrastructure that now stores petabytes of AI data for customers globally, supported by 16 storage regions worldwide, 18,000 channel partners, and over $700 million in funding to date. Together with its Megaport partnership and growing portfolio of developer and agentic AI capabilities, including Wasabi MCP, Wasabi continues to expand its role in AI infrastructure. As autonomous AI agents take on more of the data lifecycle, including retrieving training sets, checkpointing intermediate results, and moving data between compute environments without human intervention, having a predictable cost structure is even more critical. Storing AI data with Wasabi ensures agents can read, write, and move data as often as a task requires without every API call becoming a hidden cost. Recent deployments show the ROI: * An image- and video-generation lab migrated 175 petabytes off a hyperscaler within months * A robotics data consortium has stored multiple petabytes while projecting annual savings of over JPY 100 million.