We use cookies to understand how you use our site and to improve your experience.
This includes personalizing content and advertising.
By pressing "Accept All" or closing out of this banner, you consent to the use of all cookies and similar technologies and the sharing of information they collect with third parties.
You can reject marketing cookies by pressing "Deny Optional," but we still use essential, performance, and functional cookies.
In addition, whether you "Accept All," Deny Optional," click the X or otherwise continue to use the site, you accept our Privacy Policy and Terms of Service, revised from time to time.
You are being directed to ZacksTrade, a division of LBMZ Securities and licensed broker-dealer. ZacksTrade and Zacks.com are separate companies. The web link between the two companies is not a solicitation or offer to invest in a particular security or type of security. ZacksTrade does not endorse or adopt any particular investment strategy, any analyst opinion/rating/report or any approach to evaluating individual securities.
If you wish to go to ZacksTrade, click OK. If you do not, click Cancel.
Innodata and Big Tech: Why Customer Expansion Is Accelerating
Read MoreHide Full Article
Key Takeaways
INOD posted 20% Q3 revenue growth to $62.6M, with year-to-date sales up 61% to $179.3M.
INOD sees six of eight major Big Tech clients growing next year, with expansions from its largest customer.
INOD signed pre-training data deals worth about $42M and targets another $26M, totaling $68M potential.
Innodata Inc.'s (INOD - Free Report) relationship with Big Tech is entering a new phase — one defined not just by wins, but by expansion. The company is deepening its role in the AI ecosystem as Big Tech customers expand spending on training, evaluation and next-generation model capabilities.
The company’s latest results underscore this shift. Third-quarter 2025 revenue rose 20% year over year to $62.6 million, while year-to-date revenue climbed 61% to $179.3 million. Management reiterated 45% or more full-year growth and pointed to “transformative growth” in 2026, driven largely by deeper engagement with leading technology customers.
Big Tech Expansion Is Broadening
On the third-quarter earnings call, management highlighted accelerating momentum with foundation model builders. Of eight major Big Tech customers previously disclosed, six are forecast to grow next year, several substantially. The company also received verbal confirmation of expansion with its largest customer and another deal expected to generate a $6.5 million annualized run rate.
Beyond existing accounts, Innodata landed or expects to finalize five additional Big Tech customers, two described as global leaders in commerce, cloud and AI. This diversification reduces reliance on any single program while increasing exposure to rising AI training and evaluation budgets.
Strategic Vectors Accelerating Spend
Customer expansion is also being powered by new capability areas. In pre-training data alone, Innodata has signed contracts that could result in approximately $42 million of revenue and expects to sign another $26 million, totaling roughly $68 million of potential revenue across five customers.
Meanwhile, its selection by Palantir to provide specialized annotation and data engineering for AI-enabled platforms highlights its growing role inside advanced AI deployments.
As generative AI budgets scale across hyperscalers and sovereign programs, Innodata is increasingly embedded deeper into customer workflows — positioning expansion, not just new logos, as the primary driver of its next revenue wave.
Cognizant and C3.ai in the AI Data & Services Race
In the fast-expanding AI data-services market, Cognizant (CTSH - Free Report) and C3.ai (AI - Free Report) are relevant peers to Innodata (INOD - Free Report) . Cognizant has been scaling its AI and digital engineering capabilities, working closely with hyperscalers and enterprises to build, train and deploy AI-driven applications. As foundation model builders increase spending on data engineering, model tuning and enterprise AI integration, Cognizant increasingly overlaps with Innodata in large, complex AI transformation programs. The company’s global scale and enterprise penetration give it the ability to compete for multimillion-dollar AI data and lifecycle contracts.
C3.ai operates in enterprise AI software, focusing on model-driven applications across industries. As enterprises move from experimentation to production AI, C3.ai competes for budgets tied to AI deployment, workflow automation and analytics modernization—areas where data quality and preparation remain critical.
Together, Cognizant and C3.ai illustrate how customer expansion in AI is attracting both specialized data players and large digital transformation firms into the same high-growth opportunity set.
INOD’s Price Performance, Valuation & Estimates
Shares of Innodata have gained 5.1% in the past six months, outperforming the Zacks Technology Services industry’s 0.2% growth.
INOD 6-Month Price Performance
Image Source: Zacks Investment Research
From a valuation standpoint, INOD trades at a forward price-to-earnings ratio of 37.74, much higher than the industry’s average of 23.5.
P/E (F12M)
Image Source: Zacks Investment Research
The Zacks Consensus Estimate for INOD’s 2026 earnings has remained unchanged at $1.20 in the past 60 days. The estimated figure indicates 35.6% growth from the expected 2025 level.
Image: Bigstock
Innodata and Big Tech: Why Customer Expansion Is Accelerating
Key Takeaways
Innodata Inc.'s (INOD - Free Report) relationship with Big Tech is entering a new phase — one defined not just by wins, but by expansion. The company is deepening its role in the AI ecosystem as Big Tech customers expand spending on training, evaluation and next-generation model capabilities.
The company’s latest results underscore this shift. Third-quarter 2025 revenue rose 20% year over year to $62.6 million, while year-to-date revenue climbed 61% to $179.3 million. Management reiterated 45% or more full-year growth and pointed to “transformative growth” in 2026, driven largely by deeper engagement with leading technology customers.
Big Tech Expansion Is Broadening
On the third-quarter earnings call, management highlighted accelerating momentum with foundation model builders. Of eight major Big Tech customers previously disclosed, six are forecast to grow next year, several substantially. The company also received verbal confirmation of expansion with its largest customer and another deal expected to generate a $6.5 million annualized run rate.
Beyond existing accounts, Innodata landed or expects to finalize five additional Big Tech customers, two described as global leaders in commerce, cloud and AI. This diversification reduces reliance on any single program while increasing exposure to rising AI training and evaluation budgets.
Strategic Vectors Accelerating Spend
Customer expansion is also being powered by new capability areas. In pre-training data alone, Innodata has signed contracts that could result in approximately $42 million of revenue and expects to sign another $26 million, totaling roughly $68 million of potential revenue across five customers.
Meanwhile, its selection by Palantir to provide specialized annotation and data engineering for AI-enabled platforms highlights its growing role inside advanced AI deployments.
As generative AI budgets scale across hyperscalers and sovereign programs, Innodata is increasingly embedded deeper into customer workflows — positioning expansion, not just new logos, as the primary driver of its next revenue wave.
Cognizant and C3.ai in the AI Data & Services Race
In the fast-expanding AI data-services market, Cognizant (CTSH - Free Report) and C3.ai (AI - Free Report) are relevant peers to Innodata (INOD - Free Report) . Cognizant has been scaling its AI and digital engineering capabilities, working closely with hyperscalers and enterprises to build, train and deploy AI-driven applications. As foundation model builders increase spending on data engineering, model tuning and enterprise AI integration, Cognizant increasingly overlaps with Innodata in large, complex AI transformation programs. The company’s global scale and enterprise penetration give it the ability to compete for multimillion-dollar AI data and lifecycle contracts.
C3.ai operates in enterprise AI software, focusing on model-driven applications across industries. As enterprises move from experimentation to production AI, C3.ai competes for budgets tied to AI deployment, workflow automation and analytics modernization—areas where data quality and preparation remain critical.
Together, Cognizant and C3.ai illustrate how customer expansion in AI is attracting both specialized data players and large digital transformation firms into the same high-growth opportunity set.
INOD’s Price Performance, Valuation & Estimates
Shares of Innodata have gained 5.1% in the past six months, outperforming the Zacks Technology Services industry’s 0.2% growth.
INOD 6-Month Price Performance
Image Source: Zacks Investment Research
From a valuation standpoint, INOD trades at a forward price-to-earnings ratio of 37.74, much higher than the industry’s average of 23.5.
P/E (F12M)
Image Source: Zacks Investment Research
The Zacks Consensus Estimate for INOD’s 2026 earnings has remained unchanged at $1.20 in the past 60 days. The estimated figure indicates 35.6% growth from the expected 2025 level.
Image Source: Zacks Investment Research
INOD currently carries a Zacks Rank #3 (Hold). You can see the complete list of today’s Zacks #1 Rank (Strong Buy) stocks here.