Rnit Ai Solutions Ltd (517286)
Latest quarterly results (Q1 FY27)
In its latest reported quarter, Q1 FY27, Rnit Ai's revenue was ₹7.9 Cr (+25.6% year on year, -55.4% on the previous quarter), and net profit ₹1.3 Cr (+54.4% year on year); the operating margin was 35.4%.
| Q1 FY27 (₹ Cr) | Value | YoY vs Q1 FY26 | QoQ |
|---|---|---|---|
| Revenue | ₹7.9 | +25.6% | -55.4% |
| Operating profit | ₹2.8 | +24.0% | -60.8% |
| Net profit | ₹1.3 | +54.4% | -70.9% |
| EPS (₹) | 0.15 | +36.4% | -70.6% |
| Operating margin | 35.4% | — | — |
📢 Recent Corporate Announcements
Rnit AI Solutions Limited announced that its Board of Directors approved the appointment of M/s. Patcha & Associates, Chartered Accountants, as the company's Internal Auditors for FY 2026-27. The appointment was confirmed at a board meeting held on October 03, 2026, running from 10:30 AM to 11:15 AM. The firm is led by Mr. Sriramulu Patcha, who has over 15 years of professional experience across audit, tax, and M&A. This is a routine statutory compliance update with no financial impact on the company's Rs 53 Cr TTM revenue base.
- Appointment of M/s. Patcha & Associates, Chartered Accountants, as Internal Auditors for FY 2026-27
- Board meeting was held on October 03, 2026, lasting 45 minutes (10:30 AM to 11:15 AM)
- Lead partner Mr. Sriramulu Patcha possesses over 15 years of professional experience
- Appointment was made based on the recommendation of the Audit Committee
Rnit AI Solutions Limited announced that its Board of Directors approved the appointment of M/s. Patcha & Associates, Chartered Accountants, as the company's Internal Auditors for FY 2026-27. The appointment was confirmed at a board meeting held on October 03, 2026, running from 10:30 AM to 11:15 AM. The firm is led by Mr. Sriramulu Patcha, who has over 15 years of professional experience across audit, tax, and M&A. This is a routine statutory compliance update with no financial impact on the company's Rs 53 Cr TTM revenue base.
- Appointment of M/s. Patcha & Associates, Chartered Accountants, as Internal Auditors for FY 2026-27
- Board meeting was held on October 03, 2026, lasting 45 minutes (10:30 AM to 11:15 AM)
- Lead partner Mr. Sriramulu Patcha possesses over 15 years of professional experience
- Appointment was made based on the recommendation of the Audit Committee
RNIT AI Solutions has received a Notification of Award from the Andhra Pradesh State Skill Development Corporation (APSSDC) for deploying its GenAI-enabled conversational platform, NIA. Classified under Tier-7 (above Rs 25 Cr), the contract represents at least 47% of the company's TTM revenue of Rs 53 Cr. The SaaS-based engagement operates on a per-minute per-user billing model, covering up to 20 lakh users over a five-year agreement period. Configuration and deployment are scheduled within 15 working days from the award date.
- Order size classified as Tier-7, denoting a value above Rs 25 Cr (inclusive of GST).
- Scope covers up to 20 lakh users/interview sessions under a usage-based SaaS model (billed per-minute per user).
- Service agreement spans 5 years from signing, with initial deployment slated within 15 working days.
- Platform supports English, Hindi, and Telugu from Go-live with integration into the Naipunyam portal.
RNIT AI Solutions Limited has entered into a Master Development Services Agreement with 1FC Technology Private Limited for the design, development, and deployment of digital financial ecosystems (1FCode and 1FC Insure). The deal falls under RNIT's Tier-3 order category, representing a value between ₹5 Cr and ₹15 Cr (inclusive of GST), against TTM revenue of ₹53 Cr. The estimated project execution duration is approximately six months from the effective date with a 90-day defect warranty post-acceptance. The engagement marks RNIT's expansion into FinTech, WealthTech, and InsurTech domains leveraging its proprietary AI assistant, NIA.
- Order classified under Tier-3, representing a contract value of ₹5 Cr to ₹15 Cr inclusive of GST (~9.4% to 28.3% of TTM revenue)
- Execution timeline set at approximately 6 months from the effective date
- Provides a 90-day warranty for specified defects following production acceptance
- RNIT retains ownership of its Background IP, including its proprietary AI assistant NIA
RNIT AI Solutions Limited responded to BSE's query dated August 19, 2026, regarding significant movement in its share price. The company confirmed that there is no pending undisclosed price-sensitive information or material announcement under Regulation 30 of SEBI LODR. RNIT AI stated that the recent share price fluctuations are purely market-driven. The company currently has a market capitalization of ₹655 crore and TTM revenue of ₹53 crore.
- Clarification issued on August 20, 2026, in response to BSE query dated August 19, 2026
- Company confirmed no pending price-sensitive or material information exists
- All disclosures under Regulation 30 of SEBI (LODR) Regulations, 2015 are up to date
- Stated that recent share price volatility is purely market-driven
RNIT AI Solutions Ltd has submitted a formal application to BSE Limited on August 03, 2026, seeking approval to reclassify three individuals from the 'Promoter and Promoter Group' to the 'Public' category. The individuals include Mr. Vivek Kumar Ratakonda (Promoter), Mr. Venkateswara Prasad Ratakonda, and Mr. Vinayak Talwar. This follows the Board's approval of their requests on July 29, 2026. The company's promoter holding has notably decreased from 73.74% in September 2025 to 63.24% as of June 2026.
- Application for reclassification submitted to BSE Limited on August 03, 2026
- Board of Directors previously approved the reclassification requests on July 29, 2026
- Involves 1 Promoter (Vivek Kumar Ratakonda) and 2 Promoter Group members
- Promoter holding has declined by 10.5 percentage points between September 2025 and June 2026
- Company maintains a TTM PAT of ₹12 Cr with a market capitalization of ₹516 Cr
Shareholders of Rnit Ai Solutions approved the shifting of the company's registered office from Rajasthan to Telangana during the 2nd AGM held on July 29, 2026. This administrative move aligns the legal registered office with the existing corporate office in Hyderabad, Telangana. The change is subject to final approval from the Central Government (Regional Director). This follows the company's recent transformation and name change from Autopal Industries to an AI-focused entity.
- Special Resolution passed at the 2nd AGM held on July 29, 2026
- Registered office shifting from Rajasthan to Telangana to consolidate operations
- Company reported TTM revenue of Rs 52 Cr and PAT of Rs 12 Cr
- Promoter holding stands at 63.24% as of June 2026
RNIT AI Solutions Limited has submitted its Statement of Deviation or Variation for the quarter ended June 30, 2026. The company confirmed that the Rs 26.33 crore raised through a preferential issue on March 28, 2026, has been utilized as per the original objects. The Audit Committee reviewed the statement and found no deviations or variations in fund usage. This filing is a standard compliance requirement under SEBI (LODR) Regulations.
- Total funds raised via preferential issue amounted to Rs 26.33 Crores
- Funds were raised on March 28, 2026, from the public category
- Zero deviation or variation reported in the utilization of funds for the quarter ended June 30, 2026
- Audit Committee has reviewed and confirmed the utilization statement
- Reporting period covers the first quarter of Financial Year 2026-27
RNIT AI Solutions reported a 25.7% YoY increase in revenue to ₹7.85 Cr for the quarter ended June 30, 2026. Net profit grew 53.6% YoY to ₹1.27 Cr, although it experienced a sharp sequential decline from the ₹4.35 Cr reported in the March 2026 quarter. The Board also approved the reclassification of three promoter group members holding a combined 0.07% stake to the public category. Operating expenses remained controlled, though employee costs rose 27% YoY to ₹2.39 Cr.
- Revenue from operations increased 25.7% YoY to ₹7.85 Cr from ₹6.25 Cr in June 2025.
- Net Profit rose 53.6% YoY to ₹1.27 Cr compared to ₹0.82 Cr in the same period last year.
- Sequential revenue declined 55.4% from ₹17.62 Cr in the March 2026 quarter, indicating high seasonality.
- Employee benefit expenses increased to ₹2.39 Cr from ₹1.88 Cr YoY, reflecting investment in specialized AI talent.
- Promoter reclassification involves 61,219 shares, representing a negligible 0.07% of total equity.
RNIT AI Solutions reported a 25.6% YoY increase in revenue to ₹7.85 Cr for Q1 FY27, compared to ₹6.25 Cr in the same quarter last year. Net profit grew 53.6% YoY to ₹1.27 Cr, though performance saw a sharp sequential decline from the ₹17.62 Cr revenue and ₹4.35 Cr profit recorded in Q4 FY26. The board also approved the reclassification of three promoter group members holding a combined 0.07% stake to the public category. Operating margins remain healthy, but the business shows significant quarterly volatility.
- Revenue from operations grew 25.6% YoY to ₹7.85 Cr from ₹6.25 Cr.
- Net profit increased 53.6% YoY to ₹1.27 Cr from ₹0.82 Cr.
- Sequential revenue (QoQ) dropped by 55.4% from ₹17.62 Cr in the March 2026 quarter.
- Promoter reclassification involves 61,219 shares, representing a negligible 0.07% of total equity.
- Earnings Per Share (EPS) for the quarter stood at ₹0.15, up from ₹0.11 YoY.
Rnit Ai Solutions Ltd has scheduled a board meeting for July 29, 2026, to consider and approve the unaudited financial results for the quarter ended June 30, 2026. The company is coming off a strong March 2026 quarter where it reported revenue of ₹17.62 crore and a net profit of ₹4.35 crore. Investors will be monitoring if the company can maintain its high TTM operating profit margin of 40.2%. The trading window for insiders has been closed since July 1, 2026, and will remain so until 48 hours after the results are declared.
- Board meeting scheduled for July 29, 2026, to approve Q1 results.
- Trading window has been closed since July 1, 2026, for insiders.
- Previous quarter (Mar 2026) revenue stood at ₹17.62 crore with an EPS of ₹0.51.
- TTM revenue is currently ₹52 crore with a net profit of ₹12 crore.
- Promoter holding has seen a decline from 73.74% in September 2025 to 63.24% in June 2026.
RNIT AI Solutions has received formal requests from one promoter and two members of the promoter group to be reclassified as public shareholders. The total shareholding involved is 61,219 shares, which represents a negligible 0.07% of the company's total paid-up equity. The primary applicant, Mr. Vivek Kumar Ratakonda, holds 60,000 shares and has confirmed he holds no management control or special rights. The requests will be reviewed by the Board of Directors in an upcoming meeting for approval as per SEBI norms.
- Total shares seeking reclassification amount to 61,219, representing 0.07% of the company.
- Three individuals are involved: Mr. Vivek Kumar Ratakonda (0.07%), Mr. Venkateswara Prasad Ratakonda (0.00%), and Mr. Vinayak Talwar (0.00%).
- The request letters were formally received by the company on July 24, 2026.
- Applicants have declared they do not exercise control or hold any Key Managerial Personnel (KMP) positions.
- The current promoter holding stands at 63.24% as of June 2026.
Financial Performance
Revenue Growth by Segment
The company operates in a single reportable segment (AI design, software development, and maintenance) which recorded Revenue from Operations of INR 3,222.59 lakhs in FY 2024-2025, compared to nil in the previous year. In Q2 FY 2025-2026, revenue reached INR 1,371.95 lakhs, representing a 119.52% QoQ growth.
Geographic Revenue Split
The company maintains a national footprint with significant state-wide AI rollouts in regions including Andhra Pradesh, Telangana, and Goa; however, the specific percentage contribution from each region is not disclosed.
Profitability Margins
Net Profit Margin stood at 23.7% in Q2 FY 2025-2026, an increase of 1040 bps QoQ. Profit After Tax (PAT) for FY 2024-2025 was INR 720.94 lakhs, compared to a net loss in the preceding year.
EBITDA Margin
Core profitability improved significantly with PAT growing 294% QoQ to INR 325.16 lakhs in Q2 FY 2025-2026; specific EBITDA margin percentages were not explicitly disclosed.
Capital Expenditure
Historical and planned capital expenditure figures in INR Cr are not disclosed in the available documents.
Credit Rating & Borrowing
Specific credit ratings and interest rate percentages are not disclosed, though the company reported a 9% reduction in debt during Q2 FY 2025-2026.
Operational Drivers
Raw Materials
As a technology enterprise, primary operational inputs include cloud computing infrastructure and specialized AI/ML engineering talent; specific percentage of total cost for each is not disclosed.
Capacity Expansion
Current capacity allows for the processing of over 15 million facial identifications daily, with a cumulative total exceeding 3 billion identifications. Expansion is driven by state-wide AI rollouts and empanelment with national entities like RailTel.
Raw Material Costs
Total operational expenses for FY 2024-2025 were INR 2,497.74 lakhs, representing approximately 77.5% of revenue.
Manufacturing Efficiency
The company is CMMi Level 3 certified and demonstrates high efficiency through the daily processing of 15 million+ facial identifications with human-like dialogue capabilities in its AI products.
Strategic Growth
Growth Strategy
Growth will be achieved through expansion into new regions and territories, continuous innovation in AI-driven solutions such as the Nia conversational assistant, and scaling flagship SaaS platforms like Siksha Setu and Naipunyam across government and private sectors.
Products & Services
Facial Recognition Systems (FRS), Conversational AI (Nia), IoT and Industry 4.0 digital transformation frameworks, and Digital Governance SaaS platforms including Siksha Setu, Naipunyam, HealthFRS, and APFRS.
Brand Portfolio
RNIT, Nia, Siksha Setu, Naipunyam, HealthFRS, APFRS.
New Products/Services
New launches include Nia, a generative AI-based assistant for learning and interviews, and advanced IoT-based digital transformation frameworks for smart surveillance.
Market Expansion
Plans include expanding the footprint into new states and regions beyond current strongholds in AP and Telangana, leveraging empanelment with national partners.
Market Share & Ranking
The company identifies as India’s largest SaaS FRS provider with a national-scale footprint.
Strategic Alliances
Strategic empanelment with RailTel Corporation, UPDESCO, APCFSS, APTS, Digital India Corporation, and TSTS.
External Factors
Industry Trends
The industry is seeing accelerated adoption of AI/ML and IoT for e-governance and enterprise automation, with a significant shift toward open-source ERP and cloud-based architectures.
Competitive Landscape
Competition arises from established IT service providers, specialized SaaS platforms, and emerging AI technology companies.
Competitive Moat
Durable advantages include prestigious national awards (PM Excellence Award 2024), empanelment with key government agencies (RailTel, UPDESCO), and a massive data scale of 3 billion+ facial identifications which creates high switching costs and entry barriers.
Consumer Behavior
Organizations are increasingly prioritizing operational efficiency, transparency, and data-driven decision-making through AI-powered automation.
Regulatory & Governance
Industry Regulations
Operations are affected by evolving data privacy laws, cybersecurity standards, AI ethics frameworks, and SEBI (LODR) Regulations.
Legal Contingencies
The company successfully navigated the Corporate Insolvency Resolution Process (CIRP) with the NCLT Jaipur Bench approving the Resolution Plan and Scheme of Amalgamation on September 23, 2024.
Risk Analysis
Key Uncertainties
Key risks include rapid technological evolution (high impact) and intensifying market competition (medium impact) which could exert pressure on pricing and market positioning.
Geographic Concentration Risk
Revenue is primarily concentrated in India, with specific focus on states like Andhra Pradesh, Telangana, and Goa.
Third Party Dependencies
High dependency on government empanelment and partnerships with entities like RailTel and UPDESCO for national-level project acquisition.
Technology Obsolescence Risk
High risk due to the fast-paced nature of AI development; requires continuous investment in innovation and talent retention.
