Aqylon Nexus Ltd Management Discussions

MANAGEMENT DISCUSSION AND ANALYSIS REPORT

1. INDUSTRY OVERVIEW

The global technology landscape is undergoing a significant transformation driven by rapid advancements in Artificial Intelligence ("AI"), cloud computing, high-performance computing, semiconductor technologies, data analytics, automation and digital infrastructure. AI is increasingly becoming a fundamental technology across industries, resulting in substantial growth in demand for computing power, data storage, networking infrastructure, specialized semiconductor components and technology- enabled services.

The increasing adoption of generative AI, machine learning, large language models, AI-enabled enterprise applications and intelligent automation is creating a structural requirement for high-performance computing infrastructure. This transformation is also increasing demand for AI-ready data centres equipped with advanced computing systems, high-speed networking, specialized cooling solutions, reliable power infrastructure and enhanced security systems.

At the same time, semiconductors have emerged as a strategically important component of the global digital economy. AI accelerators, graphics processing units, central processing units, memory, networking chips, sensors and other specialized semiconductor components are essential for the development and deployment of modern AI and digital applications.

The convergence of AI infrastructure, semiconductor technology, cloud computing and technology services presents significant opportunities for businesses operating across the digital infrastructure ecosystem.

2. GLOBAL AI AND DATA CENTRE INDUSTRY

The growth of AI applications is driving a substantial increase in demand for data centre capacity. Traditional data centres are increasingly being complemented by AI-focused facilities designed to support high-density computing workloads.

AI data centres require substantially higher computing capacity and power density than conventional data centre environments. The deployment of accelerated computing infrastructure has consequently increased the importance of advanced power management, liquid and hybrid cooling systems, high-speed interconnects, resilient network architecture and efficient data centre design.

The industry is also witnessing increased investment in hyperscale data centres, cloud infrastructure, edge computing facilities and AI infrastructure platforms. Enterprises across sectors such as financial services, healthcare, manufacturing, telecommunications, retail, logistics and media are increasingly integrating AI into their business processes.

India is well positioned to participate in this growth due to its expanding digital economy, availability of technology talent, increasing cloud adoption, growing data consumption and strategic importance as a global technology and services destination.

3. SEMICONDUCTOR INDUSTRY

Semiconductors are at the core of modern computing and digital technologies. The rapid adoption of AI is creating demand for increasingly sophisticated semiconductor components capable of handling large-scale computational workloads efficiently.

AI workloads require specialized processors and accelerators with high computational performance, memory bandwidth and energy efficiency. This has resulted in increased focus on AI chips, GPUs, CPUs, application-specific integrated circuits ("ASICs"), memory technologies, networking components and other advanced semiconductor solutions.

The global semiconductor industry is also undergoing structural changes, including diversification of manufacturing locations, development of domestic semiconductor ecosystems and increased investment in semiconductor design, manufacturing, packaging and testing capabilities.

Indias semiconductor ecosystem is developing rapidly, supported by government initiatives, increasing private-sector investments, growing domestic demand and the countrys established engineering and technology capabilities. The development of semiconductor-related infrastructure is expected to create opportunities across design, manufacturing, assembly, testing, packaging, equipment, software and allied technology services.

4. AI TECHNOLOGY SERVICES

The increasing adoption of AI by enterprises is creating demand for technology services covering AI strategy, implementation, application development, data engineering, machine learning, cloud migration, cybersecurity, automation, analytics and managed technology services.

Organizations are increasingly seeking technology partners capable of integrating AI into existing business processes while maintaining scalability, security, reliability and regulatory compliance. This presents opportunities for service providers with capabilities in AI implementation, cloud infrastructure, data management and enterprise technology integration.

AI technology services are expected to evolve from experimental and pilot projects towards enterprise-wide deployment, with increasing emphasis on measurable business outcomes, operational efficiency, automation and responsible use of AI.

5. BUSINESS OVERVIEW

The Company is positioned within the rapidly evolving AI and digital infrastructure ecosystem, with its business activities focused on opportunities relating to AI data centres, semiconductor-related activities and AI technology services.

The Companys strategy is aimed at participating in the growth of AI-driven infrastructure and technology adoption by developing and/or providing solutions and services that support the increasing requirements of businesses for computing infrastructure, semiconductor technologies and AI-enabled applications.

The Company seeks to leverage technological developments, industry partnerships, infrastructure capabilities and its professional expertise to build sustainable business opportunities in these high-growth sectors.

The Companys business model is expected to evolve in line with technological developments and market requirements, with emphasis on scalability, operational efficiency, customer requirements and long-term value creation.

6. OPERATIONAL PERFORMANCE

During the financial year under review, the Company continued to evaluate and develop opportunities in the areas of AI infrastructure, data centres, semiconductor technologies and AI-enabled technology services.

The management remained focused on identifying commercially viable opportunities, strengthening technological capabilities, developing strategic relationships and establishing a scalable operating framework.

The Companys performance should be assessed in the context of the evolving nature of the AI industry, where investments in infrastructure, technology development, customer acquisition and capability building may precede the realisation of significant commercial revenues.

The Company continues to evaluate opportunities based on their technological feasibility, commercial potential, capital requirements, scalability and long-term strategic relevance.

7. OPPORTUNITIES AND OUTLOOK

The rapid growth of AI is expected to create significant opportunities across the digital infrastructure and technology ecosystem.

Key growth opportunities include:

• Development and operation of AI-ready data centre infrastructure;

• High-performance computing and accelerated computing infrastructure;

• Cloud and AI infrastructure services;

• Data storage, networking and related infrastructure;

• Semiconductor design and related technology solutions;

• Semiconductor testing, packaging and allied activities;

• AI application development and implementation;

• Machine learning and data engineering services;

• AI-enabled enterprise automation;

• Cybersecurity and AI infrastructure security;

• Managed technology and cloud services; and

• Strategic partnerships with technology, infrastructure and semiconductor ecosystem participants.

The management believes that increasing enterprise adoption of AI, growth in digital workloads and continued investments in computing infrastructure provide a favorable long-term environment for the Companys business.

8. RISKS AND CONCERNS

The Companys operations are subject to various risks inherent in technology-intensive and rapidly evolving industries.

Technology Risk

The AI and semiconductor industries are characterized by rapid technological changes. New technologies, architectures or products may result in existing solutions becoming obsolete. The Company will therefore need to continuously monitor technological developments and invest in appropriate capabilities.

Competition Risk

The AI, data centre and semiconductor sectors are highly competitive and include established global technology companies as well as emerging technology enterprises. Competitive pressures may affect pricing, margins, customer acquisition and market share.

Capital Intensity

AI data centre infrastructure can involve substantial capital expenditure, particularly in relation to land, power, cooling, networking, computing equipment and other infrastructure. The availability and cost of capital may therefore influence the Companys ability to scale its operations.

Power and Infrastructure Risk

AI data centres require significant and reliable power supply. Availability, cost and quality of power, together with cooling and other infrastructure requirements, may have a material impact on operating costs and project viability.

Semiconductor Supply Chain Risk

The semiconductor ecosystem is exposed to global supply-chain constraints, manufacturing concentration, geopolitical developments, transportation disruptions and fluctuations in component availability and pricing.

Cybersecurity and Data Privacy

AI and data centre operations involve the handling and processing of substantial volumes of data. Cybersecurity incidents, data breaches, system failures or unauthorized access could adversely affect operations, reputation and customer relationships.

Regulatory Risk

The regulatory environment relating to AI, data protection, cybersecurity, semiconductors and digital infrastructure continues to evolve. Changes in applicable laws, regulations or government policies may affect the Companys operations and investment decisions.

Talent Risk

AI and semiconductor technologies require specialized technical and engineering talent. Competition for skilled professionals may affect the Companys ability to recruit and retain appropriately qualified personnel.

9. INTERNAL CONTROL SYSTEMS AND THEIR ADEQUACY

The Company maintains an internal control framework commensurate with the size, nature and complexity of its operations.

The internal control systems are designed to safeguard the Companys assets, ensure accuracy and completeness of accounting records, promote operational efficiency, prevent and detect fraud and errors, and ensure compliance with applicable laws and regulations.

The management periodically reviews the effectiveness of internal controls and takes appropriate corrective measures wherever necessary. The Audit Committee also oversees the adequacy of internal financial controls and the financial reporting process in accordance with applicable statutory and regulatory requirements.

10. HUMAN RESOURCES AND INTELLECTUAL CAPITAL

Human capital is an important component of the Companys growth strategy, particularly given the specialized nature of AI, semiconductor and technology-related activities.

The Company seeks to develop a workforce with relevant expertise in artificial intelligence, software engineering, data science, cloud computing, semiconductor technologies, infrastructure management and related disciplines.

The management recognizes that continued investment in employee capability, training and technology expertise is essential for maintaining competitiveness in rapidly evolving technology markets.

11. FINANCIAL PERFORMANCE

The financial performance of the Company during the year under review should be read in conjunction with the audited financial statements and accompanying notes forming part of the Annual Report.

The management continues to focus on prudent financial management, effective utilization of resources, cost optimization and deployment of capital towards opportunities that have the potential to generate sustainable long-term returns.

Where the Company is in an investment and capability-building phase, financial performance may reflect expenditure associated with technology development, infrastructure development, employee costs, professional services, business development and other establishment activities.

		(Rs. in Lakhs)
S.N. Particulars	Standalone
	Year ended March 31, 2026	Year ended March 31,2025
1 Revenue from operations	1320.44	601.34
2 Other income	40.02	13.27
3 Profit/(loss) before Depreciation & Amortization Expenses, Finance Cost	93.46	68.60
4 Less: Depreciation and Amortization Expenses	33.39	14.84
5 Less: Finance Cost	279.83	6.31
6. Total Expenses	1580.18	567.16
7 Profit/ (Loss) before Tax	742.29	(2,236.83)
8 Less: Tax Expenses	-	-
Current Tax	-	-
MAT Credit Entitlement	(166.49)	-
Deferred Tax	-	-
Short/Excess income tax of previous years	-	-
9 Profit/ (Loss) after tax	575.80	(2,236.83)
10 Less: Share of Minority Interest	-	-
11 Add: Share of Profit/(Loss) in Associate	-	-
12 Other Comprehensive Income	-	-
13 Total Comprehensive Income for the period	575.80	(2,236.83)
14 Earnings per Share Basic Diluted	0.23	(8.82)

12. KEY FINANCIAL AND OPERATING INDICATORS

The Companys management monitors financial and operating indicators relevant to the nature and stage of its business. These may include:

• Revenue growth;

• EBITDA and EBITDA margin;

• Profit/(Loss) Before Tax and Profit/(Loss) After Tax;

• Cash flows from operating activities;

• Capital expenditure;

• Data centre capacity and utilization, where applicable;

• Power utilization and efficiency metrics;

• Customer acquisition and retention;

• Recurring revenue and contract value, where applicable;

• Technology development expenditure;

• Employee productivity and utilization; and

• Return on invested capital.

The relevance of individual indicators may vary depending on the Companys business mix and stage of development.

13. ESG AND SUSTAINABILITY

Sustainability is increasingly important in the development and operation of digital infrastructure.

AI data centres can have significant energy and cooling requirements. Accordingly, efficient power utilization, renewable energy integration, energy-efficient computing infrastructure, responsible water management and effective cooling technologies are expected to become increasingly important considerations.

The Company seeks to incorporate sustainability considerations into its infrastructure and technology strategy, wherever commercially and operationally feasible, while maintaining reliability, performance and security.

14. FUTURE STRATEGY

The Companys future strategy is focused on building capabilities and identifying opportunities in high-growth areas associated with AI and digital transformation.

The Company intends to evaluate opportunities based on:

1. Market demand and growth potential;

2. Technological feasibility;

3. Capital requirements;

4. Scalability;

5. Customer and partner ecosystem;

6. Regulatory environment;

7. Availability of skilled resources; and

8. Potential for sustainable long-term profitability.

The Company may pursue organic growth as well as strategic collaborations, partnerships, investments or other appropriate arrangements, subject to business requirements and applicable regulatory approvals.

15. CAUTIONARY STATEMENT

Statements in this Management Discussion and Analysis describing the Companys objectives, projections, estimates, expectations or predictions may constitute "forward-looking statements" within the meaning of applicable securities laws and regulations.

Such statements are based on certain assumptions and expectations concerning future events and are subject to various risks and uncertainties. Actual results could differ materially from those expressed or implied due to factors including changes in economic conditions, market demand, technology, competition, regulatory environment, availability of capital, infrastructure costs, semiconductor supply chains, cybersecurity risks and other factors beyond the Companys control.

The Company undertakes no obligation to publicly update or revise any forward-looking statements, whether as a result of future events, new information or otherwise, except as may be required under applicable laws and regulations.

	By Order of the Board of Directors
	For Aqylon Nexus Limited
	(Formerly known as Sri Adhikari Brothers Television Network Ltd.)
Place: Mumbai
Date: 4th September 2026	Sd/-
	Parth R. Rupareliya
	Managing Director
	DIN: 10703133