Innodata Inc
F:ID6
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Innodata Inc
F:ID6
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Innodata Inc
Innodata helps companies turn raw information into structured data that computers and AI systems can use. It builds and manages datasets, labels content for machine learning, cleans and organizes documents, and supports digital content workflows for clients that handle large amounts of text, images, and product information. Its customers are mainly large enterprises, technology companies, and other organizations that need accurate data to run search, automation, and AI products. The company makes money by selling data engineering and content services, usually through projects or ongoing contracts. Clients pay Innodata to prepare training data, improve data quality, manage knowledge bases, and handle repetitive back-office content work that is expensive or hard to do in-house. Because much of the work depends on specialized process design, human review, and domain knowledge, Innodata sits between raw business information and the systems that use it. What makes Innodata different is that it is not just a software vendor or a simple outsourcing shop. It focuses on the unglamorous but necessary work of making data usable, especially for AI and information-heavy businesses. That puts it in a niche where accuracy, consistency, and the ability to handle complex content matter more than flashy products.
Innodata helps companies turn raw information into structured data that computers and AI systems can use. It builds and manages datasets, labels content for machine learning, cleans and organizes documents, and supports digital content workflows for clients that handle large amounts of text, images, and product information. Its customers are mainly large enterprises, technology companies, and other organizations that need accurate data to run search, automation, and AI products.
The company makes money by selling data engineering and content services, usually through projects or ongoing contracts. Clients pay Innodata to prepare training data, improve data quality, manage knowledge bases, and handle repetitive back-office content work that is expensive or hard to do in-house. Because much of the work depends on specialized process design, human review, and domain knowledge, Innodata sits between raw business information and the systems that use it.
What makes Innodata different is that it is not just a software vendor or a simple outsourcing shop. It focuses on the unglamorous but necessary work of making data usable, especially for AI and information-heavy businesses. That puts it in a niche where accuracy, consistency, and the ability to handle complex content matter more than flashy products.
Record quarter: Innodata said Q1 2026 was a record quarter across revenue, adjusted gross profit, adjusted EBITDA and cash, with revenue of $90.1 million, up 54% year over year and 24% sequentially.
Guidance raised: Management lifted full-year 2026 revenue growth guidance to approximately 40% or more, up from 35% or more, and said it still views that outlook as prudent.
Big-tech expansion: The company announced new engagements with a leading big tech customer that could generate about $51 million this year and may make that customer its second largest in 2026.
Diversification: Management emphasized that growth is becoming more diversified, with revenue from other big tech customers up 453% year over year in Q1.
New platform: Innodata launched its agent evaluation and observability platform in beta and quickly signed a $1 million engagement with one hyperscaler, while 15 other companies are evaluating it.
Margins and cash: Adjusted gross margin reached 47% and cash rose to $117.4 million, with no debt drawn on the expanded $50 million credit facility.
