Innodata Inc. Files 2023 Annual Report on Form 10-K

TL;DR

<b>Innodata Inc. has filed its annual 10-K report for the fiscal year ended December 31, 2023.</b>

AI Summary

INNODATA INC (INOD) filed a Annual Report (10-K) with the SEC on March 4, 2024. Innodata Inc. filed its 10-K report for the fiscal year ending December 31, 2023. The filing covers the period from January 1, 2023, to December 31, 2023. The company's principal business address is 55 Challenger Road, Suite 202, Ridgefield Park, NJ 07660. Innodata Inc. was formerly known as Innodata Isogen Inc. and Innodata Corp. The company is incorporated in Delaware.

Why It Matters

For investors and stakeholders tracking INNODATA INC, this filing contains several important signals. This 10-K filing provides a comprehensive overview of Innodata Inc.'s financial performance, business operations, and risk factors for the fiscal year 2023. Investors and stakeholders can use this report to assess the company's financial health, strategic direction, and potential future performance.

Risk Assessment

Risk Level: medium — INNODATA INC shows moderate risk based on this filing. The filing is a standard annual report (10-K), which typically contains a broad range of information. Specific risks are detailed within the report itself, but the nature of a 10-K suggests a medium level of inherent risk in analyzing its contents without further context.

Analyst Insight

Review the detailed financial statements and risk factors within the 10-K to understand Innodata Inc.'s performance and outlook for 2023.

Key Numbers

• 2023-12-31 — Fiscal Year End (Reporting period)
• 2024-03-04 — Filing Date (Date of submission)
• 001-35774 — SEC File Number (SEC registration number)
• 0000903651 — Central Index Key (Company identifier)

Key Players & Entities

• INNODATA INC (company) — Filer name
• INOD (company) — Ticker symbol
• 2023-12-31 (date) — Fiscal year end
• 2024-03-04 (date) — Filing date
• 55 Challenger Road (address) — Business address
• Ridgefield Park, NJ 07660 (address) — Business address
• DE (state) — State of incorporation
• 7374 (industry_code) — Standard Industrial Classification

FAQ

Industry Context

Innodata Inc. operates within the services sector, specifically in computer processing and data preparation (SIC code 7374). This sector involves providing data processing, data preparation services, and other information technology services.

Regulatory Implications

As a publicly traded company in the US, Innodata Inc. is subject to the regulations of the Securities and Exchange Commission (SEC), requiring regular filings like the 10-K to ensure transparency and provide information to investors.

What Investors Should Do

1. Analyze the financial statements within the 10-K for revenue, net income, and other key financial metrics for FY 2023.
2. Review the 'Risk Factors' section of the 10-K to identify potential challenges and uncertainties facing Innodata Inc.
3. Examine the Management's Discussion and Analysis of Financial Condition and Results of Operations for insights into the company's performance drivers and strategies.

Key Dates

• 2023-12-31: Fiscal Year End — Marks the end of the reporting period for the 10-K.
• 2024-03-04: Filing Date — Date Innodata Inc. submitted its 10-K report to the SEC.

Year-Over-Year Comparison

This is the initial filing of the 2023 10-K. Comparative data from the previous year's 10-K would be found within the document itself.

Key Financial Figures

• $2.57 billion — data training market is estimated to be $2.57 billion in 2024, projected to grow at a CAGR of
• $13.45 billion — ected to grow at a CAGR of 18% to reach $13.45 billion by 2034, 2 essentially proxying the eno
• $154 billion — expected in AI system spending overall ($154 billion in 2023, $300 billion in 2026, a 27% CA
• $300 billion — spending overall ($154 billion in 2023, $300 billion in 2026, a 27% CAGR). 3 Similarly, the
• $1.8 billion — a annotation tools market was valued at $1.8 billion in 2022, projected to reach $25 billion
• $25 billion — 1.8 billion in 2022, projected to reach $25 billion by 2032, which is a CAGR of 25%. 4 AI
• $2.38 billion — xpected to grow at a CAGR of 48.9% from $2.38 billion in 2023 to $17.4 billion by 2028. 5 Mea
• $17.4 billion — of 48.9% from $2.38 billion in 2023 to $17.4 billion by 2028. 5 Meanwhile, overall enterpris
• $270.06 billion — terprise AI spend is projected to reach $270.06 billion by 2032, up from $7.02 billion in 2022,
• $7.02 billion — reach $270.06 billion by 2032, up from $7.02 billion in 2022, registering a CAGR of 44.1%. 6
• $148.4 billion — t is forecast to reach a market size of $148.4 billion by 2029, up from $20.9 billion in 2024,
• $20.9 billion — size of $148.4 billion by 2029, up from $20.9 billion in 2024, with a CAGR of 48.1%. 7 Our
• $1 billion — ors that have combined revenues of over $1 billion. 8 Agility operates in the $9.2 billion
• $9.2 billion — r $1 billion. 8 Agility operates in the $9.2 billion media intelligence and PR software mark

Filing Documents

• inod-20231231x10k.htm (10-K) — 2501KB
• inod-20231231xex10d20.htm (EX-10.20) — 34KB
• inod-20231231xex21.htm (EX-21) — 13KB
• inod-20231231xex23.htm (EX-23) — 3KB
• inod-20231231xex31d1.htm (EX-31.1) — 14KB
• inod-20231231xex31d2.htm (EX-31.2) — 14KB
• inod-20231231xex32d1.htm (EX-32.1) — 7KB
• inod-20231231xex32d2.htm (EX-32.2) — 7KB
• inod-20231231xex97d1.htm (EX-97.1) — 38KB
• 0001410578-24-000124.txt (&nbsp;) — 11557KB
• inod-20231231.xsd (EX-101.SCH) — 66KB
• inod-20231231_cal.xml (EX-101.CAL) — 90KB
• inod-20231231_def.xml (EX-101.DEF) — 241KB
• inod-20231231_lab.xml (EX-101.LAB) — 542KB
• inod-20231231_pre.xml (EX-101.PRE) — 468KB
• inod-20231231x10k_htm.xml (XML) — 2445KB

Business

Business 4 Item 1A.

Risk Factors

Risk Factors 15 Item 1B. Unresolved Staff Comments 27 Item 1C. Cybersecurity 28 Item 2.

Properties

Properties 30 Item 3.

Legal Proceedings

Legal Proceedings 30 Item 4. Mine Safety Disclosures 30 Part II Item 5. Market for Registrant's Common Equity, Related Stockholder Matters and Issuer Purchases of Equity Securities 31 Item6. [Reserved] 31 Item 7.

Management's Discussion and Analysis of Financial Condition and Results of Operations

Management's Discussion and Analysis of Financial Condition and Results of Operations 32 Item 7A.

Quantitative and Qualitative Disclosures about Market Risk

Quantitative and Qualitative Disclosures about Market Risk 44 Item 8.

Financial Statements and Supplementary Data

Financial Statements and Supplementary Data 44 Item 9. Changes in and Disagreements with Accountants on Accounting and Financial Disclosure 44 Item 9A.

Controls and Procedures

Controls and Procedures 44 Evaluation of Disclosure Controls and Procedures 44 Management's Annual Report on Internal Control over Financial Reporting 44 Item 9B. Other Information 45 Item 9C. Disclosure Regarding Foreign Jurisdictions that Prevent Inspections 45 Part III Item 10. Directors, Executive Officers and Corporate Governance 46 Item 11.

Executive Compensation

Executive Compensation 46 Item 12.

Security Ownership of Certain Beneficial Owners and Management and Related Stockholder Matters

Security Ownership of Certain Beneficial Owners and Management and Related Stockholder Matters 46 Item 13. Certain Relationships and Related Transactions, and Director Independence 46 Item 14. Principal Accountant's Fees and Services 46 Part IV Item 15. Exhibits and Financial Statement Schedules 46 Item 16. Form 10-K Summary 47

Signatures

Signatures 47 2 Table of Contents PART I Cautionary Note Regarding Forward-Looking Statements Disclosures in this Annual Report on Form 10-K (this "Report") contain certain forward-looking statements within the meaning of Section 21E of the Securities Exchange Act of 1934, as amended, and Section 27A of the Securities Act of 1933, as amended. These forward-looking statements include, without limitation, statements concerning our operations, economic performance, and financial condition. Words such as "project," "believe," "expect," "can," "continue," "could," "intend," "may," "should," "will," "anticipate," "indicate," "predict," "likely," "estimate," "plan," "potential," "possible," or the negatives thereof, and other similar expressions generally identify forward-looking statements. 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 the continuing conflict between Russia and the Ukraine and Hamas' attack against Israel and the ensuing conflict; investments in large language models; that contracts may be terminated by customers; projected or committed volumes of work may not materialize; pipeline opportunities and customer discussions which may not materialize into work or expected volumes of work; the likelihood of continued development of the markets, particularly new and emerging markets, that our services support; the ability and willingness of our customers and prospective customers to execute business plans that give rise to requirements for our services; continuing reliance on project-based work in the Digital Data Solutions (DDS) segment and the primarily at-will nature of such contracts and the ability of these customers to reduce, delay or cancel projects; potential inability to replace projects that are completed, canceled or reduced; continuing DDS segment revenue concentration i

Business

Item 1. Business. Business Overview Innodata Inc. (NASDAQ: INOD) (including its subsidiaries, the "Company", "Innodata", "we", "us" or "our") is a leading data engineering company. Our mission is to help the world's most prestigious companies deliver the promise of ethical, high-performing artificial intelligence ("AI"), which we believe will contribute to a safer and more prosperous world. Innodata was founded on a simple idea: engineer the highest quality data so organizations across broad industry segments could make smarter decisions. Today, we believe that we're delivering the highest quality data for some of the world's most innovative technology companies to use to train the AI models of the future. AI holds the promise that computers can perceive and understand the world, enabling products and services that would have been previously unimaginable and impossible with traditional coding. AI learns from data, and the highest-performing AI will have learned from the highest-quality data. We believe that we can contribute meaningfully by harnessing our capabilities, honed over 30 years, in collecting and annotating data at scale with consistency and high accuracy. We're also helping companies deploy and integrate AI into their operations and products and providing innovative AI-enabled industry platforms, helping ensure that our customers' businesses are prepared for a world in which machines augment human activity in ways previously unimaginable. Market Opportunities AI Data Preparation AI applications are trained with large quantities of data, unlike traditional computer applications that use languages such as Python and Java to tell computers what to do. AI applications learn from the data through a series of regressions. Today's highest performing AI applications (such as OpenAI's ChatGPT) would never have been possible to build through traditional programming. Data science teams at some of the largest technology companies are accelerating develop

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View this 10-K filing on SEC EDGAR