Innodata Inc. (INOD)
AI training data and evaluation services, 70 countries. Read October 19, 2026 from the annual report for the period ending December 31, 2025, filed February 26, 2026. Ranked 7 of the 135 Technology companies read so far, by the share within reach now.
Within reach now
41%
End of 2028
62%
Employees, annual report
10,107
Leading staffing pattern
Business Support Services
Share of the working time within reach, long-run pace, four times in five
- Now41%
- End of 202755%
- End of 202862%
- End of 203064%
What changes for its people by the end of 2028, by its industries' figures
- Stays with people 36%
- Becomes checking a model's work 45%
- Handed over with lighter checks 16%
Innodata states 10,107 employees at December 31, 2025, 10,020 full-time, within 12,200 professionals employed and engaged across 70 countries, running data annotation, evaluation and AI engineering services with no count by kind of work, so the delivery workforce takes business support services and the engineering the rest by description (c).
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: 41% now, 55% at the end of 2027, 62% at the end of 2028, 64% at the end of 2030. By the patterns, the work is about 64% desk work, 28% people work and 8% 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 36% of the working time stays with people (conversation, in-person and hands-on work), 45% becomes checking a model's work and 16% could be handed over with lighter checks, from the industries' own figures, not the company's roles.
Headcount
10,107 employees as of December 31, 2025 (stated). The filing counts no employees by country; it describes delivery across North America, Europe and Asia-Pacific in more than 70 countries, and revenue is 87% U.S.
The filing: “Employees As of December 31, 2025, we employed 10,107 employees, 10,020 of which were full-time.”
The workforce as industry patterns
| Pattern | Share | Reason, from the filing |
|---|---|---|
| Business Support Services | 70% | The delivery workforce that produces training data, alignment and preference data, evaluations and red teaming for AI developers in centers across 70 countries, with no count by kind of work, takes most of the workforce by description (c). |
| Computer Systems Design and Related Services | 30% | The data engineering, platform and technology work the filing describes alongside its delivery operations, counted by no employee figure, takes a share by description (c). |
What the filing says about the workforce: 10,107 employees, 10,020 full-time; the filing also says it employs and engages 12,200 professionals, a figure that includes contractors; the count rose from 6,597 a year earlier and 4,296 in 2023.
Companies read with the same leading pattern
Other companies whose largest staffing pattern is also Business Support 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.
- Concentrix Corporation (CNXC, 455,000 employees)44% now, 60% by 2028
- Genpact Limited (G, 146,500 employees)36% now, 63% by 2028
- TaskUs, Inc. (TASK, 65,500 employees)47% now, 59% by 2028
- ExlService Holdings, Inc. (EXLS, 65,000 employees)37% now, 63% by 2028
- Conduent Incorporated (CNDT, 51,000 employees)47% now, 59% by 2028
- TTEC Holdings, Inc. (TTEC, 51,000 employees)47% now, 59% by 2028
- Maximus, Inc. (MMS, 37,200 employees)46% now, 59% by 2028
- IBEX Limited (IBEX, 35,000 employees)47% now, 59% by 2028
What the filing says about AI
134 sentences in the filing name AI. The filing describes itself as a data engineering and AI systems services company supporting the training, post-training, evaluation and deployment of AI systems, with delivery centers for training data, alignment, evaluation and red teaming, in 134 sentences.
- “These forward-looking statements include, without limitation, statements concerning our operations, economic performance, financial condition, developmental program expansion and position in the AI services market.”
- “These forward-looking statements are based on management's current expectations, assumptions and estimates and are subject to a number of risks and uncertainties, including, without limitation, impacts resulting from ongoing geopolitical conflicts; investments in large language models; that contracts may be terminated by customers; projected or committed volumes of work may not materialize; pip...”
- “(Nasdaq: INOD) (together with its subsidiaries, the "Company", "Innodata", "we", "us" or "our") is a global data engineering and AI systems services company that supports the development, training, post-training, evaluation, and deployment of advanced artificial intelligence systems.”
- “We partner with leading technology companies, frontier AI laboratories, and enterprises to help enable AI systems that perform reliably, align with intended objectives, and operate safely in real-world environments.”
- “Our mission is to enable the responsible advancement of artificial intelligence by providing the data, evaluation frameworks, and human expertise required to build AI systems that can be trusted at scale.”
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 202168median 0
- Fiscal 202284median 0
- Fiscal 202392median 1
- Fiscal 202493median 4
- Fiscal 2025134median 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.
| Period | Employees | Filed | Filing |
|---|---|---|---|
| 2025-12-31 | 10,020 | 2026-02-26 | 10-K |
| 2024-12-31 | 6,597 | 2025-02-24 | 10-K |
| 2023-12-31 | 4,296 | 2024-03-04 | 10-K |
| 2022-12-31 | 4,205 | 2023-02-24 | 10-K |
| 2021-12-31 | 4,878 | 2022-03-24 | 10-K |
| 2020-12-31 | not read | 2021-03-15 | 10-K |
| 2019-12-31 | not read | 2020-03-16 | 10-K |
| 2018-12-31 | 147 | 2019-03-26 | 10-K |
| 2017-12-31 | 144 | 2018-03-22 | 10-K |
| 2016-12-31 | 4,600 | 2017-03-15 | 10-K |
| 2015-12-31 | 5,000 | 2016-03-14 | 10-K |
| 2014-12-31 | 5,000 | 2015-03-13 | 10-K |
| 2013-12-31 | 5,000 | 2014-03-14 | 10-K |
| 2012-12-31 | 6,000 | 2013-03-15 | 10-K |
| 2011-12-31 | 7,000 | 2012-02-28 | 10-K |
| 2010-12-31 | 5,000 | 2011-02-28 | 10-K |
| 2009-12-31 | 60 | 2010-03-11 | 10-K |
| 2008-12-31 | 45 | 2009-03-11 | 10-K |
| 2007-12-31 | 68 | 2008-03-13 | 10-K |
| 2006-12-31 | 76 | 2007-03-30 | 10-K |
| 2005-12-31 | 87 | 2006-03-31 | 10-K |
| 2004-12-31 | 85 | 2005-03-30 | 10-K |
| 2003-12-31 | 80 | 2004-03-26 | 10-K |
| 2002-12-31 | 70 | 2003-03-28 | 10-K |
| 2001-12-31 | 800 | 2002-03-27 | 10-K |
| 2000-12-31 | 1,425 | 2001-04-02 | 10-K |
| 1999-12-31 | 6,000 | 2000-03-30 | 10-K |
| 1998-12-31 | 3,000 | 1999-03-26 | 10-K |
| 1997-12-31 | 2,500 | 1998-03-30 | 10-K |
| 1996-12-31 | 2,700 | 1997-03-26 | 10-K |
Limits of this reading
- The 12,200 professionals the filing employs and engages include contractors; the employees are 10,107 (rule 8).
- No count by kind of work: the split is by description (c).
- The U.S. share is not stated.
Source: the company's annual report on EDGAR, accession 0001104659-26-020655, 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.
The report on Innodata Inc., $29
This page as a document to keep, with what it does not show: the share within reach at every date on three paces and two reliabilities, a typical workforce of this shape at the stated headcount role by role and task by task (the industries' staffing, never the company's roster), where to start, what changes for the people and what they would learn, every sentence in the filing that names AI, the headcount by year, the companies read with the same leading pattern, the method and a citation line. To print or save as a PDF, open again in your browser for a year.
See the report, $29See the sample first: Walmart's report is free
Questions about this company
- How much of Innodata Inc.'s working time is within reach of AI?
- An estimated 41% now and 62% by the end of 2028, on METR's long-run pace at four in five, from the workforce Innodata Inc.'s own annual report describes and BLS staffing patterns for its industries, never from a roster. It is an estimate with a stated method. It is not a forecast of jobs lost or of savings, and it says nothing about what the company will do.
- How many people does Innodata Inc. employ?
- 10,107 as of December 31, 2025, as its annual report for the period ending December 31, 2025 states.
- What kinds of work make up Innodata Inc.'s workforce?
- Read from its annual report as a blend of 2 industry staffing patterns, the largest Business Support Services; by those patterns the work is about 64% desk work, 28% people work and 8% body work. Each share has a one-sentence reason on this page that can be checked against the filing.
- What does Innodata Inc.'s annual report say about AI?
- 134 sentences in the filing name AI. Its annual reports for fiscal 2021 to 2025 name it in 68, 84, 92, 93 and 134 sentences, year by year. They are counted and quoted on this page, never judged: a count says how much a filing talks about AI, not what the company does with it.
- How is this estimated?
- Claude Fable 5.1 read the annual report under the Index's written rubric (version 1) on October 19, 2026: the stated headcount, the share in the U.S. when stated, and the workforce as a blend of industry staffing patterns. The estimates are the site's industry estimates weighted by those shares, from O*NET tasks with estimated lengths and METR's measurements of how long a task AI models can finish. A company can write to info@stratussc.com to have its reading checked against its filing.
Embed these figures on your site
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