Key Takeaways Innodata expanded from post-training into pre-training data, moving upstream in the AI data value chain.INOD invested about $1.3M and has signed ~$42M in contracts, with another ~$26M likely to follow.Innodata expects most pretraining revenue to ramp in 2026, making it a potentially durable growth driver.Innodata Inc.’s (INOD) expansion into pretraining data marks a meaningful strategic evolution, with the potential to reshape both its growth profile and competitive positioning. Historically, ...

Wall Street is ending 2026 on a generally positive note, with the benchmark S&P 500 Index set to finish the year at a 17% return rate. All eyes are now on technology titans like Nvidia, Microsoft, Alphabet, and Amazon, which have dominated the headlines in 2025, and for good reason.By and large, big technology stocks have outperformed the broad U.S. market in 2025, fueled by strong earnings and momentum in key areas like semiconductors and AI-related companies, with the Nasdaq-100 Index up 19.6% year to dat ...

Core Insights - Innodata Inc. (INOD) is well-positioned to benefit from the rapid growth of U.S. AI investment, with strong operating momentum and a business model closely linked to generative AI development [1][4] - The company reported record revenues of $62.6 million in Q3 2025, a 20% increase year-over-year, and adjusted EBITDA of $16.2 million, reflecting a 26% margin [1][11] - Management anticipates 45% organic revenue growth in 2025 and transformative growth in 2026, supported by new contracts and investments in pre-training data [2][11] Financial Performance - Innodata's Q3 2025 revenues reached $62.6 million, up 20% year-over-year, with adjusted EBITDA at $16.2 million, representing a 26% margin [1][11] - Future contracts related to pre-training data and federal AI initiatives could contribute approximately $93 million to future revenues [11] - The Zacks Consensus Estimate for INOD's earnings has increased to 89 cents for 2025 and $1.20 for 2026, reflecting positive market sentiment [13] Market Positioning - Innodata serves as a picks-and-shovels provider for large AI model builders, establishing strong relationships with major Big Tech companies [2][4] - The launch of Innodata Federal targets U.S. defense and civilian agencies, with an expected contribution of around $25 million in revenues, primarily in 2026 [3] - The company has a solid cash position of $73.9 million and no debt, providing flexibility for future investments [3] Competitive Landscape - Innodata operates in a competitive niche with key competitors including Globant SA and Cognizant Technology Solutions [5] - Globant is enhancing its AI capabilities through strategic investments and acquisitions, positioning itself alongside Innodata in enterprise AI initiatives [6] - Cognizant competes with its extensive IT consulting and business process services, capturing enterprise and government contracts that overlap with Innodata's target markets [7][8] Valuation Metrics - Innodata's shares have increased by 34.1% over the past year, significantly outperforming the industry's growth of 4.4% [9] - The company currently trades at a forward price-to-earnings ratio of 44.33, which is considerably higher than the industry average of 16.99 [15]

Key Takeaways Palantir posted 63% revenue growth in Q3 2025, driven by U.S. commercial and government demand. INOD landed $68M in AI data contracts and expects $25M in new federal revenue, mostly in 2026.PLTR's $2.76B in Q3 total contract value supports stronger earnings visibility than INOD's project model.Artificial intelligence spending is increasingly shifting from experimentation to scaled deployment, forcing enterprises and governments to rethink how they collect, structure, govern and operationalize ...

Industry Overview - The AI-driven bull run that began in 2023 and 2024 has continued into 2025, with strong momentum in the AI infrastructure segment [2] - The demand for AI infrastructure remains robust, supported by a bullish market scenario [2] Capital Expenditure Trends - Four of the "magnificent 7" stocks are set to invest $380 billion in 2025 for AI infrastructure development, representing a 54% year-over-year increase in capital spending [3] - Projections indicate that AI infrastructure capital expenditure will exceed $1 trillion by 2028, with estimates reaching a cumulative total of $5 trillion by 2030 [4] Investment Recommendations - Five small and mid-cap stocks are highlighted as potential beneficiaries of the AI boom in 2026: Calix Inc. (CALX), Qualys Inc. (QLYS), Innodata Inc. (INOD), Five9 Inc. (FIVN), and UiPath Inc. (PATH) [5][10] Company Profiles Calix Inc. (CALX) - CALX provides cloud and software platforms for communications service providers, integrating AI to enhance operations and subscriber engagement [8][9] - Expected revenue and earnings growth rates for CALX are 12.4% and 35.3%, respectively, for the next year [11] Qualys Inc. (QLYS) - QLYS specializes in cloud-based cybersecurity solutions, benefiting from increased demand amid rising cyber threats [12][15] - The company has a projected revenue growth rate of 7.7% and earnings growth of 6.5% for the next year [16] Innodata Inc. (INOD) - INOD plays a crucial role in the AI ecosystem by providing high-quality data for training language models, with expected revenue and earnings growth rates of 24.1% and 35.6%, respectively [18][21] - The company supports five of the seven major hyperscalers and is expanding its capabilities in AI services [19][20] Five9 Inc. (FIVN) - FIVN offers intelligent cloud software for contact centers, with a focus on AI-driven solutions that enhance customer interactions [22][25] - The expected revenue and earnings growth rates for FIVN are 9.5% and 8.3%, respectively, for the next year [26] UiPath Inc. (PATH) - PATH provides a robotic process automation platform that leverages AI to streamline operations, with new generative AI features enhancing its offerings [27][28] - The company anticipates revenue and earnings growth rates of 9.3% and 14.2%, respectively, for the next year [30]

Core Viewpoint - BigBear.ai is struggling with revenue growth and market performance, while Innodata presents a more promising investment opportunity in the AI sector due to its strong growth trajectory and lower valuation [8][15]. BigBear.ai Overview - BigBear.ai went public via SPAC four years ago, starting at $9.84 but now trades below $7 [1]. - Revenue predictions before going public were optimistic, expecting growth from $182 million in 2021 to $550 million in 2024, but actual revenue only increased from $146 million in 2021 to $158 million in 2024 [2]. - The company faced challenges including the bankruptcy of its top customer, Virgin Orbit, and intense competition [2]. - In early 2024, BigBear.ai acquired AI vision company Pangiam and appointed its CEO, Kevin McAleenan, hoping to secure government contracts [4]. - Despite the leadership change, revenue growth stalled, and for 2025, a decline of 11%-21% in revenue is expected due to disruptions in U.S. Army contracts [5]. - BigBear.ai's market cap is $2.9 billion, with a gross margin of 27.28% and analysts predicting a 23% revenue rise in 2026, followed by a 2% decline in 2027 [7]. Innodata Overview - Innodata, valued at $1.8 billion, is positioned as a more attractive investment compared to BigBear.ai [8]. - The company initially struggled with slow growth, but launched task-specific microservices in 2018, significantly improving its service efficiency for AI applications [9][11]. - From 2019 to 2024, Innodata's revenue grew at a CAGR of 25%, with adjusted EBITDA increasing over 11 times [12]. - Revenue is expected to rise at least 45% in 2025, with analysts projecting 46% growth in 2025 and 26% in 2026 [13]. - Innodata's market cap of $1.8 billion values it at just seven times next year's sales, making it cheaper than BigBear.ai [15]. - If Innodata meets growth expectations and achieves a market cap of $3.9 billion over the next 12 months, it could significantly outperform BigBear.ai [15].

Core Insights - Innodata Inc. (INOD) has experienced a 15.7% decline over the past month, underperforming compared to the Zacks Computer-Services industry and the broader market, despite strengthening fundamentals [1][8] - The stock is currently trading at approximately $57.58, significantly below its 52-week high of $93.85, even as earnings expectations and revenue visibility improve [1][8] Financial Performance - Innodata reported record revenue of $62.6 million in Q3 2025, marking a 20% increase year-over-year, with adjusted EBITDA rising to $16.2 million, a 23% sequential increase [7][8] - The adjusted gross margin was 44%, and the adjusted EBITDA margin reached 26%, indicating strong operating leverage [7] - Management anticipates at least 45% year-over-year organic revenue growth in 2025, supported by deepening relationships with major technology players and new contracts [8][10] Growth Drivers - The company is expanding its footprint in the generative AI ecosystem, with significant contracts including a $25 million federal contract and potential revenue from pre-training data deals amounting to approximately $68 million [8][12] - Innodata's engagement with six of its eight leading Big Tech customers is expected to grow meaningfully next year, highlighting the company's role in the AI investment cycle [11][12] - The launch of Innodata Federal marks a strategic entry into U.S. government AI programs, with initial engagements expected to generate substantial revenue [13] Market Position and Competitive Landscape - Innodata's customer concentration is notable, with approximately 56% of revenues coming from its largest customer, which poses a risk if there are any delays or cancellations [11][16] - The company faces competition from firms like Accenture and Cognizant, which are also involved in AI services and digital transformation [23] Valuation and Investor Sentiment - The stock is trading at a forward P/E ratio of approximately 48.83, significantly higher than the industry average of 17.4, reflecting high market expectations [17] - The recent stock pullback is viewed as a potential buying opportunity, as it does not indicate weakening fundamentals but rather a response to short-term sentiment and valuation adjustments [24][25]

Core Insights - Innodata Inc. (NASDAQ:INOD) has achieved a remarkable 3-year CAGR of 157.7%, making it one of the best-performing small-cap tech stocks [1] - The stock is currently rated as a consensus Buy by all analysts, with a year-to-date increase of over 46% and a 1-year median price target of $92.5, indicating a potential upside of 60% [1] - BWS Financial analyst Hamed Khorsand has reiterated a Buy rating with a price target of $110 [2] Business Developments - On November 6, Innodata announced the launch of Innodata Federal, a business unit focused on providing AI solutions to U.S. defense, intelligence, and civilian agencies [3] - Innodata Federal aims to facilitate faster AI adoption for federal customers while adhering to security and procurement frameworks [3] - The new unit will leverage the company's expertise in AI data engineering and has already begun generating revenue through partnerships with major defense technology companies and a direct award from a U.S. defense agency [4] Strategic Positioning - By combining commercial-grade AI platforms with a cleared U.S. STEM workforce, Innodata positions itself as a low-risk partner for large government programs [5] - The company specializes in building and operating AI and data solutions for leading global technology companies and large enterprises [5]

Core Insights - The generative AI market is experiencing rapid growth, significantly benefiting companies like Palantir and Innodata [1][2] Company Overview - Palantir operates two main platforms: Gotham for government agencies and Foundry for commercial clients, focusing on data aggregation to enhance decision-making [4] - Innodata transitioned from a slow-growth data analytics company to a provider of microservices for AI data preparation, addressing inefficiencies in data handling for AI projects [5] Growth Metrics - Palantir's revenue grew at a CAGR of 27% from $1.1 billion in 2020 to $2.9 billion in 2024, achieving profitability in 2023 and doubling its GAAP net income in 2024 [6][9] - Innodata's revenue increased at a CAGR of 31% from $58 million in 2020 to $170 million in 2024, also turning profitable on a GAAP basis in 2024 [9][10] Future Revenue Projections - Analysts project Palantir's revenue to grow at a CAGR of 44% from 2024 to 2027, potentially reaching $8.5 billion, and $14.7 billion by 2030 if it maintains a 20% growth rate thereafter [13] - Innodata's revenue is expected to rise at a CAGR of 36% from 2024 to 2026, reaching $313 million, and could hit $649 million by 2030 with a subsequent 20% growth rate [14] Investment Considerations - Despite Palantir's rapid growth, its high market cap of $407 billion results in a valuation of 93 times projected sales, which may limit short-term gains [13] - Innodata, with a market cap of $1.9 billion and a valuation of eight times this year's sales, presents a more reasonable investment opportunity [14][15]

Core Insights - Concerns about an AI bubble and an underwhelming earnings report led to a 23% decline in Innodata's stock last month [1][4][6] - Innodata is a small-cap AI stock that provides data annotation services, distinguishing itself in a tech boom dominated by larger companies [3][4] - The company reported a 20% revenue increase to $62.6 million, surpassing the consensus estimate of $59.8 million, but this growth rate was a significant slowdown compared to earlier in the year [4][5] Financial Performance - Adjusted EBITDA rose 17% to $16.2 million, while GAAP net income was $8.3 million, equating to $0.24 per share [4] - The company maintains a full-year revenue growth forecast of 45% or more, with an expectation of at least 17% growth in the fourth quarter [5] Market Position and Outlook - Despite a brief 7% stock increase following the earnings report, the stock resumed its decline due to broader market trends affecting AI stocks [6] - Innodata's revenue recognition is variable, and there is uncertainty regarding its ability to return to previous growth levels, but it presents potential upside for investors bullish on AI [7]