Innodata launches federal business unit to serve US government AI needs

Published 07/11/2025, 08:12
Innodata launches federal business unit to serve US government AI needs

NEW YORK - Innodata Inc. (NASDAQ:INOD) announced Friday the formation of Innodata Federal, a new business unit focused on delivering artificial intelligence solutions to U.S. government agencies.

The dedicated unit will target defense, intelligence, and civilian agencies with AI data engineering, generative AI, and agentic AI capabilities. The company reports it has already secured partnerships with defense technology companies and received a direct award from a defense agency.

"Innodata Federal represents a strategic investment in a high-growth market where we believe our capabilities align exceptionally well with government modernization priorities," said Jack Abuhoff, CEO of Innodata.

The company’s federal offerings include AI data engineering for computer vision and language systems, generative AI solutions for model fine-tuning, agentic AI for workflow automation, model evaluation services, document intelligence, and open-source intelligence capabilities.

Innodata Federal will be led by Senior Vice President Vinay Malkani and emphasizes three core strengths: rapid deployment capabilities, a STEM workforce with security clearances, and enterprise-scale infrastructure.

The announcement coincides with Innodata’s earnings release and the appointment of retired four-star Army general Richard D. Clarke to its board of directors.

The new unit aims to capitalize on the government’s increasing use of streamlined procurement pathways such as Other Transaction Authorities and Commercial Solutions Openings that favor commercial innovation.

Innodata’s strategy involves both immediate revenue generation through prime contractor partnerships and building direct relationships for larger government contracts.

According to the press release statement, Innodata currently serves five of the "Magnificent Seven" tech giants and numerous Fortune 1000 enterprises with data engineering services.

This article was generated with the support of AI and reviewed by an editor. For more information see our T&C.

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