Verisk Analytics, Inc. (VRSK)

Insurance data and analytics, 8,000 employees. Read October 19, 2026 from the annual report for the period ending December 31, 2025, filed February 18, 2026. Ranked 25 of the 155 Technology companies read so far, by the share within reach now.

A data and analytics company whose filing states 8,000 employees with 57% in the U.S. and nothing by kind of work, so the whole workforce is read at the data processing 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: 29% now, 56% at the end of 2027, 69% at the end of 2028, 74% at the end of 2030. By the patterns, the work is about 74% desk work, 22% people work and 4% 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 26% of the working time stays with people (conversation, in-person and hands-on work), 57% becomes checking a model's work and 11% could be handed over with lighter checks, from the industries' own figures, not the company's roles.

Headcount

8,000 employees as of December 31, 2025 (stated). Stated: approximately 57% of employees are based in the United States, 11% in the United Kingdom, 11% in India, the remainder in 18 other countries.

The filing: “As a knowledge-based business, we carefully integrate the skills and talents of approximately 8,000 employees worldwide as of December 31, 2025.”

The workforce as industry patterns

What the filing says about the workforce: Approximately 8,000 employees worldwide as of December 31, 2025 (7,800 a year earlier): about 57% in the United States, 11% in the United Kingdom, 11% in India, the rest in 18 other countries; very few unionized, a works council in Germany; engagement score 80%.

Companies read with the same leading pattern

Other companies whose largest staffing pattern is also Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services, largest first, each read from its own annual report. Within reach now and at the end of 2028, long-run pace, four in five.

• Fidelity National Information Services, Inc. (FIS, 44,000 employees)29% now, 69% by 2028
• SS&C Technologies Holdings, Inc. (SSNC, 28,800 employees)28% now, 69% by 2028
• Moody's Corporation (MCO, 16,076 employees)31% now, 69% by 2028
• Broadridge Financial Solutions, Inc. (BR, 16,000 employees)34% now, 66% by 2028
• Equinix, Inc. (EQIX, 13,716 employees)28% now, 67% by 2028
• Intercontinental Exchange, Inc. (ICE, 12,844 employees)32% now, 70% by 2028
• FactSet Research Systems Inc. (FDS, 12,800 employees)29% now, 69% by 2028
• Akamai Technologies, Inc. (AKAM, 11,000 employees)28% now, 68% by 2028

What the filing says about AI

15 sentences in the filing name AI. The filing says it is modernizing its core solutions with cloud technology, machine learning and AI, and describes generative AI-powered damage assessment and image analytics fraud warnings among its claims tools.

• “We are modernizing and advancing the capabilities of our core solutions using cloud technology and advanced analytical methods including machine learning and artificial intelligence ("AI") while also augmenting our solutions through the addition of new data assets and sources.”
• “We have developed a suite of solutions that apply advanced analytics, automation, and machine learning to existing and emerging data sources.”
• “These cloud-based and on-premise solutions include real-time video collaboration, remote measuring tools, generative AI-powered damage assessment, and image analytics fraud warnings, among other features.”
• “We have solutions that leverage AI and generative AI to automatically extract unstructured data from and summarize medical records for efficient review and analysis during claim processing and demand packages review to improve injury evaluations and settlement negotiations.”
• “Sixth, we collect data, or license or purchase from third parties, on geographic and spatially referenced information relating to residential and commercial structures by using the latest remote sensing and machine learning technologies.”

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 20214median 0
• Fiscal 20224median 0
• Fiscal 202315median 1
• Fiscal 202415median 4
• Fiscal 202515median 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: the whole workforce is read at one data pattern by description (c).

Source: the company's annual report on EDGAR, accession 0001437749-26-004452, 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.