RNIT AI Solutions surges on bagging project worth Rs 3.52 crore
The company has secured the project from State Board of Technical Education & Training, Andhra Pradesh
RNIT AI Solutions is currently trading at Rs. 56.00, up by 1.19 points or 2.17% from its previous closing of Rs. 54.81 on the BSE.
The scrip opened at Rs. 56.80 and has touched a high and low of Rs. 59.90 and Rs. 55.00 respectively. So far 260336 shares were traded on the counter.
The BSE group 'X' stock of face value Rs. 10 has touched a 52 week high of Rs. 71.00 on 11-Nov-2025 and a 52 week low of Rs. 42.57 on 30-Oct-2025.
Last one week high and low of the scrip stood at Rs. 64.89 and Rs. 52.02 respectively. The current market cap of the company is Rs. 416.44 crore.
The promoters holding in the company stood at 73.74%, while Institutions and Non-Institutions held 0.06% and 26.19% respectively.
RNIT AI Solutions has secured a project worth Rs 3.52 crore from State Board of Technical Education & Training, Andhra Pradesh. Under this project, the company will develop and implement Online Software Application to Monitor Academic and National Council for Vocational Education and Training (NCVET) Activities. The project includes end-to-end system development, deployment, integration, and post-implementation support as per the specifications of the State Board of Technical Education & Training. The development and implementation phase is to be completed within three months, followed by three years of Operations & Maintenance (O&M) services.
With this project the company has entered into a new horizon of providing customized digital AI solutions to the State Board of Technical Education and Training, thereby strengthening its footprint in delivering digital AI solutions for Government educational and vocational training institutions.
RNIT AI Solutions (formerly known as Autopal Industries ) offers a comprehensive suite of solutions that include Artificial Intelligence (AI) based Facial Identification System, Internet of Things (IoT), Data Analytics, Digital Transformation and Open Source Enterprise Resource planning (Open source - ERP).

