Innodata Empowers Students Through Books and Meals
Innodata is committed to leaving a lasting impression on the communities we serve. Our Corporate Social Responsibility (CSR) initiatives are a testament to our dedication to fostering positive change and community growth. Recently, the team launched two significant initiatives aimed at uplifting communities in need.
Our first initiative was with the Mirisbiris Learning Foundation project. Collaborating with Internet Archive clients, our CSR team distributed boxes of books to students and educators to enhance the learning experience while fostering a love for reading among young minds. Beyond book distribution, the team introduced the Internet Archive platform, which provides free access to a diverse range of knowledge resources for continuous learning and exploration.
In another endeavor, Innodata organized the second feeding program at Lipata Central Elementary School. This program was designed to cater to the nutritional needs of students and educators, laying a foundation for academic success and overall well-being. The event brought smiles to the faces of young learners and educators.
Acknowledging the importance of holistic development, Innodata contributes to the growth and prosperity of the community, one meal at a time. The Lipata Central Elementary School feeding program received heartfelt gratitude from the school’s administration, teachers, and students, emphasizing the initiative’s impact on immediate nutritional needs and the sense of community.
These success stories highlight our consistent dedication to making a positive and lasting impact on the lives of those it touches. By addressing both educational and nutritional needs, Innodata exemplifies a holistic approach to CSR, reaffirming our commitment to empowering communities and creating positive change.
Recent Articles

Trace Datasets for Agentic AI: Structuring and Optimizing Traces for Automated Agent Evaluation
Trace datasets reveal how AI agents behave and enable automated agentic AI evaluation for reliability, safety, and compliance.

Turning Human Motion into Better AI: How Kinematics Improves Data Labeling and Model Quality
How kinematics-based motion analysis improves data labeling, automated quality control, and computer vision models for fitness and robotics.

AI Evaluation: 7 Core Components Enterprises Must Get Right
AI evaluation helps enterprises ensure accuracy, fairness, security, and trust. Learn the seven core components needed to keep AI reliable over time.
follow us