Everpure, Inc. (P)

Flash storage platforms maker, 58% U.S. Read October 19, 2026 from the annual report for the period ending February 1, 2026, filed March 25, 2026. Ranked 99 of the 155 Technology companies read so far, by the share within reach now.

Everpure’s approximately 6,400 employees, 3,700 in the U.S., design, sell and support all-flash data storage platforms and subscription services, read as one computer equipment pattern.

The figures on this page come from the company's own annual report and from BLS staffing patterns for its industries, never from a roster. They are estimates with a stated method. Nothing here says what the company will do: within reach is not a forecast of jobs lost or of savings.

What follows from the reading

Share of working time within reach of AI, on the long-run pace at four in five: 21% now, 45% at the end of 2027, 57% at the end of 2028, 62% at the end of 2030. By the patterns, the work is about 62% desk work, 19% people work and 19% body work. These are the site's industry estimates weighted by the shares below: estimates with a stated method and range, not a forecast of what the company will do. By the same patterns, at the end of 2028 about 38% of the working time stays with people (conversation, in-person and hands-on work), 49% becomes checking a model's work and 7% could be handed over with lighter checks, from the industries' own figures, not the company's roles.

Headcount

6,400 employees as of February 1, 2026 (stated). Approximately 3,700 of 6,400 employees are in the U.S. and over 2,700 international, by the filing.

The filing: “We employ approximately 6,400 employees globally - approximately 3,700 in the U.S. and over 2,700 internationally at the end of fiscal 2026.”

The workforce as industry patterns

What the filing says about the workforce: Approximately 6,400 employees, 3,700 in the U.S.; headcount grew about 8% in fiscal 2026 for innovation, customer experience and sales coverage.

Companies read with the same leading pattern

Other companies whose largest staffing pattern is also Computer and Peripheral Equipment Manufacturing, largest first, each read from its own annual report. Within reach now and at the end of 2028, long-run pace, four in five.

• Apple (AAPL, 166,000 employees)25% now, 53% by 2028
• Dell Technologies Inc. (DELL, 97,000 employees)22% now, 58% by 2028
• Hewlett Packard Enterprise Company (HPE, 67,000 employees)22% now, 57% by 2028
• HP Inc. (HPQ, 55,000 employees)21% now, 57% by 2028
• Western Digital Corporation (WDC, 40,000 employees)21% now, 57% by 2028
• Seagate Technology Holdings plc (STX, 30,000 employees)21% now, 57% by 2028
• Xerox Holdings Corporation (XRX, 22,900 employees)23% now, 50% by 2028
• NetApp, Inc. (NTAP, 11,700 employees)22% now, 58% by 2028

What the filing says about AI

38 sentences in the filing name AI. The filing names AI 38 times as the market for its storage platforms, including FlashBlade//EXA for AI and high-performance computing workloads.

• “As data volumes expand and artificial intelligence (AI) becomes more deeply embedded in customers' operations, the ability to store, manage, govern, and derive greater value from their data is becoming as important as the infrastructure used to store it.”
• “We are executing a focused strategy to modernize and simplify data infrastructure for customers as AI adoption increases and power, space, and operational constraints intensify.”
• “Our vision of an all-flash data center integrates our foundation of simplicity and reliability with four major market trends that are impacting all organizations: 1) The shift towards modernizing data infrastructure with all-flash technology; 2) The growth of modern cloud-native applications; 3) Increasing demand for data storage delivered as a service; and 4) Increasing demand for data storage...”
• “Integrated Data Management as a Long-Term Growth Driver AI and modern digital applications are driving significant growth in enterprise data and increasing its strategic importance.”
• “Deliver Integrated Dataset Management Across Hybrid and Multi-Cloud Environments As enterprises expand their use of AI, they increasingly recognize that many initiatives face challenges not because large language models (LLMs) lack capability, but because enterprise data is fragmented across systems, policies and environments.”

Its annual reports, year by year

Sentences naming AI in each annual report, counted by one rule, beside the median report in the Index that year. Each count links its filing. Every company, by year and sector

• Fiscal 20213median 0
• Fiscal 20223median 0
• Fiscal 202314median 1
• Fiscal 202420median 4
• Fiscal 202538median 10

Headcount by filing year

As reported in each year's annual report, with the filing. A year marked not read had no figure the reading could take from the report's text.

Limits of this reading

• No count by kind of work; one storage equipment pattern by description, the services inside it.

Source: the company's annual report on EDGAR, accession 0001474432-26-000027, the filing. Read by Claude Fable 5.1 under rubric version 1, by the method. A company can write to info@stratussc.com to have its reading checked against its filing.