INODNASDAQTechnology

Public company intelligence preview

INNODATA INC

94 insider trades surfaced from the last year. This page shows only aggregate signals, not the underlying transactions, people, filings, filters, or AI workspace.

Snapshot

A narrow read on a much deeper workspace.

The preview gives search visitors enough signal to understand coverage. It does not expose transaction records, person-level profiles, filters, comparisons, or analyst workflows.

Insider trades, last 12 months
94
64 filed in the last 30 days
Acquisition / disposition count
29/65
Buy / Sell
Unique insiders active in the last year
9
Current insider positions tracked
16
13 active, 3 exited

Insider compensation

Public aggregate: $2.8M average total compensation across covered insiders.

Governance movement

Public aggregate: 2 governance events in the last year.

Institutional ownership

Public aggregate: 255 holders from the latest quarter.

Restricted sales and governance

Public counts, not the investigation layer.

The full product opens the underlying filings, insider context, historical holdings, comparison tools, and AI analysis.

Restricted-sale filings, 1Y
24
Restricted-sale insiders, 1Y
5
Planned sale shares, 1Y
1.5M
Planned sale value, 1Y
$125.1M
Insiders covered
5
Latest year: 2025
Personnel changes, 1Y
2
Board appointments, 1Y
1
Board departures, 1Y
1

Market context

Basic quote context for the preview.

Price
$94.71
Market cap
$2.9B
Volume
1,925,083
EPS
$0.42
Revenue
$90.1M
Employees
10.1K

Company note

Context before the data.

Company Overview

Innodata Inc. is a Technology company in the Information Technology Services industry that provides AI data engineering and AI systems services across the full AI lifecycle, including training data, evaluation, red teaming, safety testing, and AI operationalization. Its business is split across Digital Data Solutions (DDS), Synodex, and Agility, with DDS serving as the main growth and profit engine and Agility and Synodex adding platform-based recurring and specialized workflow revenue. The company serves large technology firms, frontier AI labs, and enterprise customers in regulated industries such as banking, insurance, healthcare, and media. Revenue is highly concentrated, with one DDS customer contributing about 58% of total revenue in 2025, so execution, retention, and project wins are especially important.

Executive Compensation Practices

For a company like Innodata, executive compensation is likely to be tied closely to revenue growth, gross margin improvement, adjusted EBITDA, and operating income, since management is actively scaling a labor- and infrastructure-intensive AI services business. The 2025 results show strong top-line expansion, better operating leverage, and rising cash generation, so incentive pay may reward growth in DDS, margin expansion, and successful deployment of capital into cloud, staffing, and software investments. Because the company also depends on headcount expansion, customer concentration, and project-based contracts, compensation plans may include retention-focused equity awards and performance metrics tied to customer growth, contract wins, and cash flow rather than only earnings per share. In Technology and Information Technology Services, executives often receive a mix of salary, annual bonus, and stock-based compensation, with performance units or options that align management with long-duration AI platform growth.

Insider Trading Considerations

Insider trading activity in Innodata may be especially sensitive to customer concentration, quarterly project timing, and contract renewals because a single customer drives a large share of revenue. Traders should watch for insider purchases or sales around updates on DDS demand, new customer additions, Synodex contract losses, or Agility subscription trends, since these can materially affect growth expectations. The company’s exposure to AI market development, foreign exchange, cross-border operations, and large hiring/capex commitments can make insider transactions informative when they cluster before earnings or guidance updates. Because the business is tied to regulated industries and AI safety work, insiders may also face tighter trading caution around material nonpublic information related to customer deployments, model evaluation programs, or contract changes.

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