In a significant development for India's telecom and Artificial Intelligence ecosystem, Vishlesan I Hub Foundation, popularly known as TIH IIT Patna, has announced the successful deployment of a multilingual AI powered workforce assistance platform that is helping telecom technicians overcome language barriers and improve access to employment opportunities across the country.
The initiative has been implemented through the incubation and ecosystem support provided by TIH IIT Patna in collaboration with SCOGO Networks, a startup working in the telecom workforce and technology domain. The platform, known as SIA, has been developed using advanced Natural Language Processing technologies and is designed to support workforce communication, onboarding, training, and operational coordination across multiple Indian languages.
According to TIH IIT Patna, the platform currently supports communication in 50 Indian languages and regional dialects, enabling technicians and field workers from diverse linguistic backgrounds to access work related guidance, operational information, and support services in their preferred language.
The project has been undertaken under the leadership of Prof. Trilok Nath Singh, Director of IIT Patna and Chairman of the Board of Directors of TIH IIT Patna, along with Dr. Anup Kumar Keshri, Project Director at TIH IIT Patna.
Speaking about the initiative, Prof. Singh said that entrepreneurship, skill development, and language accessibility must be viewed as interconnected components of a single ecosystem. He highlighted that TIH IIT Patna worked on simplifying technical learning through easy to understand electronic training kits, while SCOGO Networks collaborated with experts in Natural Language Processing from IIT Patna to make learning and communication accessible to people across different linguistic backgrounds.
He noted that the combined efforts of indigenous technology development, startup incubation, workforce training, and industry deployment have contributed to creating employment opportunities for last mile telecommunication technicians across India.
The deployment reflects the growing importance of multilingual Artificial Intelligence in a country where workforce participants often come from different educational, social, and linguistic backgrounds. Language barriers frequently create challenges in training, communication, and workforce coordination, particularly in sectors such as telecommunications where technicians are deployed across geographically diverse regions.
The SIA platform has been designed to address these challenges by providing AI assisted support for workforce operations. The platform enables technicians to receive guidance, communicate effectively, access onboarding information, and understand operational requirements without being limited by language constraints.
TIH IIT Patna stated that the multilingual AI assisted ecosystem has significantly improved workforce discoverability, onboarding efficiency, communication support, and deployment coordination. These capabilities are helping organizations manage large scale workforce operations more effectively while ensuring that technicians remain connected to the information they require in the field.
One of the most significant achievements reported by the institution is the verification of 18,007 telecom workforce jobs through a structured assessment process. The verification exercise has been conducted using employment continuity and wage benchmarking parameters aligned with publicly available government supported skilling and employment assessment frameworks.
The assessment methodology includes a minimum monthly wage threshold of Rs 10,000 and a requirement that employment continues for at least three consecutive months. Officials stated that the verification and counting process remains ongoing, indicating that additional workforce records may be included in future assessments.
Current data released by TIH IIT Patna shows that the average monthly wage of the verified workforce ranges between Rs 24,000 and Rs 30,000. Employment continuity among verified workers ranges from six to eighteen months, reflecting sustained participation in telecom deployment, maintenance, technical support, and field service operations.
Dr. Anup Kumar Keshri, Project Director of TIH IIT Patna, and Dr. Sai Kiran Oruganti Sharma, Chief Executive Officer of TIH IIT Patna, said that the institution has consistently promoted an integrated model where technology development, entrepreneurship, and employability function together rather than as separate initiatives.
According to them, the successful deployment of the multilingual AI platform by incubated startup SCOGO Networks demonstrates how deep technology innovation can simultaneously address workforce accessibility challenges and generate meaningful employment opportunities. They emphasized that India's linguistic diversity should not be viewed as a limitation but as an opportunity to build inclusive technological solutions that benefit a broader section of society.
The initiative also highlights the increasing role of academic institutions in supporting startup led innovation. By combining research expertise, incubation support, technology development, and industry partnerships, institutions such as TIH IIT Patna are helping transform laboratory innovations into real world solutions with measurable social and economic impact.
The broader telecom ecosystem supported through SCOGO Networks currently reports more than 3.1 lakh active workforce participants operating across multiple deployment categories and service regions. These workforce members are engaged in activities including telecom installation, network maintenance, fiber operations, infrastructure deployment, field servicing, technical support, and network assistance.
In addition to workforce deployment, the ecosystem has also supported technical training programs using Plug and Play Rapid Prototyping Embedded System Kits developed by TIH IIT Patna. These kits have been designed to simplify technical learning and provide hands on exposure to practical engineering concepts, helping technicians develop industry relevant skills.
The workforce supported through this ecosystem has been associated with operational assignments and deployment linked activities connected to major telecom and infrastructure service environments, including projects related to Jio, Airtel, Tata Telecom, and other telecom infrastructure support networks operating across India.
Industry experts believe that multilingual Artificial Intelligence solutions will play an increasingly important role in India's digital transformation journey. As the country continues to expand its telecommunications infrastructure and digital economy, workforce accessibility and language inclusion are expected to become critical factors in ensuring equitable participation and sustainable growth.
The TIH IIT Patna initiative demonstrates how Artificial Intelligence can be used not only for automation but also for workforce empowerment. By enabling workers to learn, communicate, and perform tasks more efficiently in their native languages, the platform is helping bridge accessibility gaps that have traditionally limited opportunities for many skilled workers.
The project forms part of TIH IIT Patna's ongoing efforts in multilingual Artificial Intelligence, speech and text technologies, cyber physical systems, and technology enabled workforce integration under the National Mission on Interdisciplinary Cyber Physical Systems framework.
With over 18,000 verified jobs, support for 50 Indian languages, and a workforce ecosystem exceeding 3.1 lakh active participants, the initiative stands out as a notable example of how indigenous AI innovation, startup incubation, and skill development can work together to strengthen India's telecom workforce while contributing to employment generation and digital inclusion.
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