RNIT AI Solutions Partners With Telangana Government For Ongoing AI Attendance Systems Contract

2 min read     Updated on 20 Mar 2026, 08:48 AM
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AI Summary

RNIT AI Solutions has expanded its government e-governance portfolio by securing multiple work orders from Telangana Technology Services Limited for implementing AI-based facial recognition attendance management systems across the state's higher education sector. The comprehensive 3-year contract covers approximately 1 million users across ITI institutions, SBTET institutions, and collegiate education departments, operating on a Software-as-a-Service model with transaction-based pricing.

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RNIT AI Solutions Limited has secured multiple work orders from Telangana Technology Services Limited (TGTS), a Government of Telangana undertaking, for the implementation and maintenance of AI-based Facial Recognition Attendance Management Systems across the state's higher education sector. This development follows the company's recent agreement with Andhra Pradesh's higher education department, demonstrating continued expansion in government-led e-governance initiatives.

Telangana Project Scope and Coverage

The latest work orders encompass three distinct segments of Telangana's higher education ecosystem, covering comprehensive deployment across multiple institutional categories under the Government Higher Education Department.

Project Parameter: Details
Total Users: Approximately 10,00,000 (1 million)
Contract Duration: 3 years (including implementation and maintenance)
Service Model: Software-as-a-Service (SaaS) with transaction-based pricing
Geographic Coverage: State of Telangana
Pricing Structure: Rate contract basis with monthly billing based on usage

Work Order Breakdown

The company has received three separate work orders targeting different segments of Telangana's educational infrastructure:

Work Order: Target Institution Scope
Work Order 1: ITI Institutions AI-based Facial Recognition Attendance Management across state ITIs
Work Order 2: State Board of Technical Education and Training (SBTET) Attendance management system for SBTET institutions
Work Order 3: Collegiate Education Department Facial recognition attendance system for collegiate institutions

Strategic Expansion in Higher Education E-Governance

The Telangana engagement represents RNIT AI Solutions' expansion into another state within the higher education e-governance domain, reinforcing its presence in government-led digital transformation initiatives. The solution operates under a Software-as-a-Service model with transaction-based pricing, where consideration is determined based on attendance authentications processed through the AI-based platform.

Each work order includes standard terms and conditions with invoice-based payments and SLA-linked performance conditions, ensuring comprehensive service delivery across all participating institutions throughout the three-year contract period.

Multi-State Presence in Education Technology

With the Andhra Pradesh agreement covering approximately 3,900 institutions and 1.3 million users, combined with the new Telangana orders serving 1 million users, RNIT AI Solutions has established a significant footprint in South India's higher education digitalization efforts. Both projects utilize the company's AI-driven facial recognition technology for digital attendance authentication and management.

Regulatory Compliance

The work orders have been disclosed pursuant to Regulation 30 of the SEBI (Listing Obligations and Disclosure Requirements) Regulations, 2015. The company confirmed that these orders fall within the ordinary course of business and do not involve any related party transactions, with all agreements executed at arm's length with government undertakings.

Will RNIT AI Solutions expand its facial recognition attendance systems to other Indian states beyond Andhra Pradesh and Telangana?

How might the transaction-based SaaS pricing model impact RNIT's revenue predictability compared to traditional fixed-contract arrangements?

Could RNIT leverage its government education sector success to penetrate corporate attendance management markets?

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RNIT AI Solutions Completes ₹26.33 Crore Preferential Equity Issuance to 18 Investors

2 min read     Updated on 13 Mar 2026, 08:30 PM
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AI Summary

RNIT AI Solutions Limited successfully completed its board meeting on March 13, 2026, approving the preferential issuance of 52,66,537 equity shares at ₹50 per share to 18 strategic investors, raising ₹26.33 crore. This represents the second tranche under the NCLT-approved resolution plan, with comprehensive investor allocations ranging from Sageone-Flagship Growth OE Fund's 10,00,000 shares to smaller allocations, all under the public category as per regulatory compliance requirements.

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RNIT AI Solutions Limited's board of directors has successfully approved the issuance of 52,66,537 equity shares on a preferential basis to 18 strategic investors, raising ₹26.33 crore in the second tranche of its court-approved resolution plan. The board meeting held on March 13, 2026, concluded the deliberations for this significant capital raising initiative.

Board Meeting Outcome

The board meeting, which commenced at 2:30 PM and concluded at 3:30 PM, approved the equity issuance under Regulation 30 of SEBI regulations. The following table outlines the key details of the approved issuance:

Parameter: Details
Meeting Date: March 13, 2026
Shares Approved: 52,66,537 equity shares
Face Value: ₹10 per share
Issue Price: ₹50 per share
Premium: ₹40 per share
Total Amount: ₹26,33,26,850
Number of Investors: 18 strategic investors

Complete Investor Allocation Details

The equity shares will be allotted to 18 investors across the public category, with Sageone-Flagship Growth OE Fund receiving the largest allocation of 10,00,000 shares. The comprehensive allocation breakdown includes:

Investor: Shares Allocated Post-Allotment Holding (%)
Sageone-Flagship Growth OE Fund: 10,00,000 1.18%
Anupama K Katkar: 7,00,000 1.62%
Chhaya S Katkar: 5,00,000 1.38%
Sanjay Katkar: 4,00,000 1.60%
Visionary Vibes Consultancy Pvt Ltd: 4,00,000 0.47%
Sunil Aggarwal: 4,00,000 0.47%
Augmenta Value Trust - Scheme 1: 4,00,000 0.47%
Asha M Shah: 2,00,000 0.24%
Aswin Gordhandas Jasapara: 2,00,000 0.27%
Nishid Babulal Shah: 2,00,000 0.24%
Ajitnath Financial Consultants LLP: 2,00,000 0.24%
Sandeep Mellampudi: 1,16,537 0.19%
Other Investors (6): 4,50,000 Varying percentages

Several investors including Anupama K Katkar, Chhaya S Katkar, Sanjay Katkar, Aswin Gordhandas Jasapara, and Sandeep Mellampudi already held shares in the company and will increase their holdings through this preferential issuance.

Regulatory Framework and Compliance

The equity issuance operates under the Resolution Plan approved by the National Company Law Tribunal, Jaipur Bench, through its order dated September 23, 2024, under the Insolvency and Bankruptcy Code, 2016. This represents the second tranche of the overall plan to issue up to 1,00,00,000 equity shares to strategic investors under the public category.

The company has filed the necessary disclosures pursuant to Regulation 30 read with Para A of Part A of Schedule III of the SEBI (Listing Obligations and Disclosure Requirements) Regulations, 2015, and SEBI Circular dated January 30, 2026. The regulatory filing confirms that all proposed allottees fall under the public category as per the resolution plan provisions.

Company Operations and Documentation

RNIT AI Solutions Limited, formerly known as Autopal Industries Limited, operates from its registered office at 138 Kalyan Kunj Colony, Kalwar Road, Jhotwara, Jaipur, Rajasthan, and maintains its corporate office at Plot No. 92, 93 & 94, Kavuri Hills, Madhapur, Hyderabad. The regulatory filing was digitally signed by Company Secretary T.T.V.R. Seshan, confirming the board's approval and associated compliance measures. The company has made the complete announcement and investor details available on its website at rnit.ai/announcements for stakeholder access.

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