No insider purchase over the last 90 days. The latest was filed 14 Jun 2022.
This page follows insider dealings at Innodata Inc as filed with SEC (Form 4), a company from the Technology sector based in Hackensack, United States. The group dates from 1988. Over the twelve months to 18 October 2026, 74 filings were filed, from 13 insiders.
There is no open-market purchase to report; the filings show 37 sales worth €29.7M by 3 insiders. The amount is not disclosed for 13 filings. One trade stands out by size: a sale of €9.9M from Abuhoff Jack, disclosed on 21 May 2026, or 0.55% of market capitalisation.
For context, the typical company on the same exchange (median of 5,811 companies) published 19 filings over the same period, against 74 filings here. Since 2021, the database holds 1 purchase and 62 sales by insiders of the company. For the fiscal year to 31 December 2025, the annual 10-K puts revenue at 251.7 m USD and net income at 32.2 m USD.
Typically, a trade is published a median of 2 days after it takes place. The legal deadline for a Form 4 is two business days after the transaction. A sale on its own says little: insiders also sell to pay tax, fund a purchase or diversify.
In the same sector, recent insider purchases at Core Scientific, Inc./tx and Gitlab Inc. also feature in our signals. Source: insider filings from SEC (Form 4). Past trades are no guide to future returns.
This score ranks the purchase within its own market. A position size is suggested only on the venues of the backtested strategy universe; elsewhere, signals stay on watch. Not investment advice.
Transparent value + quality ranking, distinct from the insider signal.
FY ended December 2025 · cache
25 of 147 declarations
Innodata Inc. (Nasdaq: INOD) is a U.S.-based technology company focused on data engineering and AI-related services. Headquartered in Ridgefield Park, New Jersey, United States, the company was founded in 1988 and has evolved from a long-standing data services provider into an AI-centric business. It serves an international customer base, with operations spanning North America, Europe, and multiple offshore delivery centers, giving it both global reach and a cost-efficient operating model.
At the core of Innodata’s business is helping organizations design, clean, enrich, evaluate, and industrialize the data used to train and validate artificial intelligence systems. The company’s current positioning is centered on generative AI, agentic AI, and broader data engineering workflows that support model training, testing, benchmarking, and safety evaluation. Innodata also offers human expertise and platform-based services that help customers improve the reliability, robustness, and performance of AI deployments at scale.
From a competitive standpoint, Innodata stands out because of its long operating history and its transition toward higher-value AI work. Rather than competing purely as a commoditized outsourcing vendor, the company is increasingly positioning itself as a strategic partner for enterprises and AI builders that need large-scale, high-quality datasets and evaluation frameworks. Its competitive edge lies in combining platforms, services, and domain expertise to support complex AI programs where accuracy, compliance, and speed matter.
Recent company updates point to strong momentum. During 2025 and into 2026, Innodata highlighted product innovation around generative AI test-and-evaluation capabilities, broadening customer engagement, and new strategic initiatives. One notable development was the launch of Innodata Federal, a dedicated business unit aimed at serving U.S. defense, intelligence, and civilian agencies with mission-critical AI solutions. The company has also emphasized opportunities in frontier model training, sovereign AI, and physical AI/robotics-related dataset engineering.
For French-speaking investors, Innodata is a Nasdaq-listed growth name in the technology sector with a clear exposure to the structural expansion of the AI data stack. The equity story is attractive as an AI infrastructure and services play, but investors should still consider the typical risks of a relatively concentrated, execution-sensitive business model, including customer concentration, competitive intensity, and the need to sustain profitable growth as demand evolves.
Purchases our model currently ranks for the recommendations list.
All recommendationsInsider filings
Over the last 90 days, 8 filings published between 4 September and 13 October 2026: 2 sales for €935k. 6 other filings (not open-market purchases or sales: grants, options, plans, sale notices, block transfers). Largest amounts: FORLENZA LOUISE C (Director), sales of €935k.
Summary written automatically from public filings, without human review. General information, identical for every reader: it is not investment advice or a recommendation to buy or sell. Investing involves a risk of capital loss. Generated on 14 October 2026 (UTC)
Headquarters: Hackensack, United States · Founded: 1988 · Wikipedia article
Source: Wikidata (CC0).
| Fiscal year end | Revenue | Net income | Diluted EPS | Dividend per share | Filing |
|---|---|---|---|---|---|
| Dec 2025 | 251.7 m USD | 32.2 m USD | 0.92 USD | 0.00 USD | 10-K |
| Dec 2024 | 170.5 m USD | 28.7 m USD | 0.89 USD | 0.00 USD | 10-K |
| Dec 2023 | 86.8 m USD | -908,000 USD | -0.03 USD | 0.00 USD | 10-K |
| Dec 2022 | 79.0 m USD | -11.9 m USD | -0.44 USD | 0.00 USD | 10-K |
| Dec 2021 | 69.8 m USD | -1.7 m USD | -0.06 USD | 0.00 USD | 10-K |
Amounts in USD, as filed (forms 10-K, 20-F or 40-F). Source: SEC EDGAR.