Innodata lays off 550 employees in India as business assignment winds down

Abrupt layoffs during work hours

On October 26, 2026, Innodata India Pvt Ltd terminated nearly 550 employees in India and an undisclosed number in the Philippines. The layoffs were executed abruptly, with affected employees losing access to company laptops, official IDs, and internal systems during work hours. According to reports, employees were logged out of devices and found their resignation dates already marked in the HR payroll system by the time they were notified.

The termination emails were sent to employees’ personal email accounts, as access to company systems had already been revoked. Affected workers included roles across raters, quality experts, team leaders, and managers, none of whom were reportedly given prior notice. Managers themselves were unaware of the job cuts until they unfolded.

One employee told Mint (Technology) that "one by one, we started losing access to our official devices. Laptops were logged out, and official IDs deactivated." Another added, "There has been no calls from HR, and we didn’t receive the chance to even download our payslips and other important documents as even the access of the HR payroll app was revoked."

Operational requirements, not performance, drove cuts

Innodata attributed the layoffs to the "ramp-down of the (a) business assignment," clarifying that the decision was not linked to individual performance. The company stated that the terminations were driven by operational requirements, though it did not disclose which client or project triggered the wind-down.

The nearly 550 layoffs in India represent roughly 5% of Innodata’s global workforce, which stood at 10,107 employees as of December 31, 2025. The company provides AI and data engineering services, including data labelling, model training, and safety testing, for clients such as Google, Microsoft, Amazon, Apple, Sony, and Deloitte.

The layoffs reflect broader trends in the tech sector, where companies are adjusting workforces amid AI-driven automation. Reports suggest that major clients may have scaled back or canceled projects, leading to sudden workforce reductions.

What this means

Lazyfounder analysis — our interpretation, not reported fact.

These layoffs highlight the vulnerability of contract-based workforces in the AI and data services sector, particularly when projects are tied to the demands of large, often unpredictable clients. For founders and operators, the abruptness of the terminations—coupled with the revocation of system access during work hours—serves as a reminder of the risks inherent in scaling teams around short-term business assignments. It also underscores the importance of diversifying client dependencies, as reliance on a single large project or customer can lead to sudden and disruptive workforce adjustments.

Related on Lazyfounder

• Microsoft
• Amazon
• Apple
• More business news
• AI labs buy data from defunct startups, raising legal and ethical concerns