Fair Isaac Corporation (FICO)

Scores and decision software, 28 countries. Read November 8, 2026 from the annual report for the period ending September 30, 2025, filed November 7, 2025. Ranked 36 of the 238 Technology companies read so far, by the share within reach now.

Fair Isaac states 3,811 employees across 28 countries and nothing by segment or country; its decision software leads at software publishers with the scores business at data processing by description.

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: 51% now, 68% at the end of 2027, 73% at the end of 2028, 75% at the end of 2030. By the patterns, the work is about 75% desk work, 23% people work and 3% 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 25% of the working time stays with people (conversation, in-person and hands-on work), 63% becomes checking a model's work and 10% could be handed over with lighter checks, from the industries' own figures, not the company's roles.

Headcount

3,811 employees as of September 30, 2025 (stated). The filing states 28 countries and U.S. workforce demographics but no count by country; the data service shows 44% of revenue in the United States and 50% in the Americas.

The filing: “As of September 30, 2025, we employed 3,811 persons across 28 countries.”

The workforce as industry patterns

What the filing says about the workforce: 3,811 employees across 28 countries; 67% male; 46% of the U.S. workforce racially or ethnically diverse; quarterly engagement surveys for a decade; U.S. job postings carry pay ranges; fiscal year ends September 30.

Companies read with the same leading pattern

Other companies whose largest staffing pattern is also Software Publishers, largest first, each read from its own annual report. Within reach now and at the end of 2028, long-run pace, four in five. Now is projected from METR's April 2026 measurement and Epoch's November 2026 index.

• Microsoft (MSFT, 223,000 employees)51% now, 73% by 2028
• Oracle (ORCL, 141,000 employees)51% now, 73% by 2028
• Salesforce, Inc. (CRM, 83,334 employees)51% now, 73% by 2028
• Uber Technologies, Inc. (UBER, 34,000 employees)52% now, 71% by 2028
• DoorDash, Inc. (DASH, 31,400 employees)52% now, 71% by 2028
• Adobe Inc. (ADBE, 31,360 employees)51% now, 73% by 2028
• ServiceNow, Inc. (NOW, 29,187 employees)51% now, 73% by 2028
• Synopsys, Inc. (SNPS, 28,000 employees)51% now, 73% by 2028

What the filing says about AI

25 sentences in the filing name AI. The filing describes its products as built on optimization algorithms, neural systems, machine learning and AI, including an analytics workbench for explainable machine learning models and custom machine learning projects for clients, in 25 sentences.

• “These include proprietary applications of both linear and nonlinear optimization algorithms, advanced neural systems, machine learning and artificial intelligence ("AI").”
• “FICO ® Analytics Workbench is a predictive analytics tool that allows businesses to create and deploy explainable machine learning models for use in decisions that typically require strict governance and compliance, often including regulatory oversight.”
• “We build custom analytics, decision models and related analytics, and perform machine learning projects for clients in multiple industries.”
• “We encounter competition from several sources, including: in-house analytic and systems developers; developers and providers of neural networks, machine learning, and AI systems; fraud solutions providers; scoring model builders; providers of credit reports and credit scores, including consumer reporting agencies; software companies supplying predictive analytic modeling, rules, or analytic dev...”
• “There has been an increased focus on laws and regulations related to our business and the business of our customers relating to policy concerns regarding the operation of consumer reporting agencies, the use and accuracy of credit and alternative data, the costs of consumer reports and credit scores, the use of credit scores and fair lending, and the use, transparency, and fairness of algorithm...”

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 20215median 0
• Fiscal 202210median 0
• Fiscal 202315median 1
• Fiscal 202417median 4
• Fiscal 202525median 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

• The split between software and the scores data business is by description (c); the filing counts no employees by segment, and the segment table is from the following fiscal year.

Source: the company's annual report on EDGAR, accession 0000814547-25-000030, 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.