RNIT AI Solutions Limited has informed the BSE about an upcoming board meeting scheduled for March 13, 2026, to deliberate on a significant preferential equity share issuance to strategic investors. The meeting will be held at the company's corporate office in Kavuri Hills, Madhapur, Hyderabad.

Board Meeting Agenda

The primary agenda item focuses on the second tranche of equity share issuance under the company's court-approved resolution plan. The following table outlines the key details of the proposed issuance:

Regulatory Framework

The proposed equity issuance operates under the Resolution Plan approved by the Hon'ble National Company Law Tribunal, Jaipur Bench, through its order dated September 23, 2024. This approval was granted under the provisions of the Insolvency and Bankruptcy Code, 2016, indicating the company's structured approach to financial restructuring.

The current proposal represents the second tranche of the overall issuance plan, which encompasses up to 1,00,00,000 equity shares of face value ₹10/- each. This systematic approach allows the company to manage its capital raising activities in phases while maintaining regulatory compliance.

Trading Window Restrictions

In accordance with regulatory requirements, the company has announced specific trading restrictions:

• Trading window closure for designated persons and their immediate relatives
• Duration: Until 48 hours after the board meeting outcome declaration
• Regulatory basis: SEBI (Prohibition of Insider Trading) Regulations, 2015
• Internal compliance: Company's Code of Conduct for Prevention of Insider Trading

These measures ensure compliance with insider trading regulations and maintain market integrity during the decision-making process.

Company Background

RNIT AI Solutions Limited, formerly known as Autopal Industries Limited, operates from its registered office in Jaipur, Rajasthan, and maintains its corporate office in Hyderabad, Telangana. The company secretary T.T.V.R. Seshan signed the regulatory filing, confirming the board meeting schedule and associated compliance measures.

The board meeting notification was filed under Regulation 29(1)(d) of the SEBI (Listing Obligations and Disclosure Requirements) Regulations, 2015, demonstrating the company's adherence to disclosure requirements for material corporate actions.

RNIT AI Solutions Limited has achieved a significant milestone by successfully deploying an AI-based Facial Recognition Attendance Management System for the Department of Education in Lakshadweep. This implementation represents the first deployment of such an AI-based attendance system in the Union Territory, marking a technological advancement in the region's educational infrastructure.

System Implementation Details

The AI-based Facial Recognition Attendance Management System has been implemented across all schools under the Department of Education, Lakshadweep. The comprehensive deployment covers the following key aspects:

Technology Features and Capabilities

The platform facilitates secure, technology-enabled attendance recording and reporting for educational institutions across Lakshadweep. The system incorporates facial recognition technology to streamline the attendance process, eliminating traditional manual methods and providing automated solutions for educational administration.

Key operational features include:

• Automated attendance capture for both students and teachers
• Comprehensive reporting functions for administrative oversight
• Secure technology platform ensuring data protection
• Daily operational capability across all participating schools

Regulatory Compliance and Corporate Information

RNIT AI Solutions Limited disclosed this development under Regulation 30 of the Securities and Exchange Board of India (Listing Obligations and Disclosure Requirements) Regulations, 2015. The company, formerly known as Autopal Industries Limited, operates with scrip code 517286 on BSE Limited.

The successful rollout demonstrates RNIT AI Solutions Limited's capability in delivering AI-based solutions for government and educational sectors, establishing a technological precedent in Lakshadweep's educational infrastructure.