Logiciel Solutions Limited is a digital transformation and IT services provider offering custom software development, cloud enablement, big data analytics, AI/ML solutions, QA testing, mobility, and IT consulting. The company earns revenue through project-based development, long-term managed services, and digital product engineering. Its solutions are used across fintech, healthcare, e-commerce, logistics, media, telecom, and enterprise automation to enhance operational efficiency and customer experience.

Key Clients & Major Facilities
The company serves global clients including A Telecom PP, JB Foods, SIB, BeLive, XYZ E-commerce Platforms, Consulting Startups, and multiple BFSI and retail enterprises* across the US, Europe, and Asia. Logiciel operates development centres with in-house teams specialising in full-cycle software engineering, cloud implementation, and testing automation. These facilities enable end-to-end execution from architecture design to deployment and ongoing maintenance under stringent quality frameworks.

Product Portfolio & Order Book
Its portfolio includes enterprise applications, SaaS platforms, CRM/ERP modules, cloud-native apps, data engineering pipelines, DevOps services, and mobile applications. These solutions integrate into the clients’ digital lifecycle, enhancing scalability and reducing downtime. The company’s project pipeline consists of recurring service contracts and multi-phase development assignments, executed through agile delivery models ensuring timely fulfilment. The order book includes ongoing global mandates in cloud and digital engineering, offering stable near-term visibility.

Mergers, Capex & Expansion Plans
Logiciel plans strategic expansion by strengthening its offshore delivery centres, ramping talent capacity, and investing in cloud, AI, and cybersecurity capabilities. It aims to upgrade its digital infrastructure and develop new practice areas to support enterprise-scale transformations. The company may pursue inorganic growth through selective acquisitions to deepen sector-specific competencies. The proposed IPO proceeds are allocated for working capital, technology upgrades, and facility expansion aligned with the company’s long-term digital-first strategy.

Employees & Banker
As of October 31, 2025, the company had 107 employees. The Banker to the Company is Kotak Mahindra Bank Limited,

MANAGEMENT & VISION

The management envisions transforming Logiciel into a global digital engineering partner with strong capabilities in AI, cloud, automation, and enterprise software. Their near-term goal is to expand delivery capacity and secure more long-term offshore contracts. For long-term growth, they target diversification across BFSI, healthcare, telecom, and retail. Funding for expansion will come from internal accruals, IPO proceeds, and potential debt for infrastructure upgrades. The leadership emphasises sustainable, technology-driven scaling with a focus on profitability and client retention.

INDUSTRY OVERVIEW

The company operates in the Global IT Services & Digital Transformation industry, a market exceeding USD 1.2 trillion, growing at 7–9% CAGR driven by cloud migration, AI adoption, automation and enterprise digitisation. India’s IT services industry stands at USD 254 billion with expected 8–10% CAGR, powered by demand for software engineering, analytics, and managed services. Global leaders include Accenture, TCS, Infosys, Cognizant, and IBM. The future outlook remains strong with rapid expansion in cloud-native development, cybersecurity, AI engineering, and platform modernisation.

KEY RISK FACTORS

1. High Client Concentration Risk
   A major portion of revenue depends on a limited set of recurring clients. Any reduction in contracts, service downtime, or client loss could significantly impact revenue stability and long-term project visibility.
2. Intense Competition in IT Services
   The company operates in a highly competitive global market dominated by large IT MNCs and agile tech startups. Pricing pressure and talent retention challenges may impact margins and project profitability.
3. Technology Obsolescence Risk
   Rapid technological shifts in AI, cloud, and automation require continuous innovation. Failure to upgrade capabilities or adopt new frameworks could affect delivery quality and contract wins.
4. Dependence on Skilled Workforce
   The company relies heavily on high-quality engineers and technical specialists. Attrition, hiring challenges, or talent shortages can disrupt project timelines and increase employee-related costs.
5. Foreign Revenue Exposure
   A significant portion of revenue comes from international markets. Currency fluctuations, geopolitical issues, and regulatory changes may affect income and increase compliance requirements.
6. Execution Delays in Long-Term Projects
   Large-scale digital transformation projects involve complex dependencies. Delays in execution, client-side bottlenecks, or technology integration issues can impact revenue recognition and working capital cycles.
7. Cybersecurity & Data Risks
   As a digital engineering provider, the company handles sensitive client data. Security breaches, system vulnerabilities, or noncompliance with data protection norms can lead to penalties and reputational damage.

KEY STRENGTHS & OPPORTUNITIES

1. Strong Digital Engineering Capabilities
   Expertise in cloud, data engineering, AI/ML and enterprise software enables the company to deliver high-value solutions across industries, strengthening its position in fast-growing digital transformation segments.
2. Global Delivery Model
   Its offshore-onsite hybrid delivery model supports cost efficiency, scalability, and round-the-clock execution, making the company competitive for international clients seeking reliable, agile technology partners.
3. Diversified Portfolio Across Industries (30–40 words)
   The company serves BFSI, healthcare, retail, telecom, and e-commerce sectors, reducing dependency on any single industry and enabling broader market penetration with industry-specific offerings.
4. Long-Term Client Relationships
   Strong retention rates and recurring multi-phase projects provide resilience and predictable revenue. Long-term partnerships also increase cross-selling opportunities for cloud modernisation and analytics solutions.
5. Scalable Business Model
   Digital services and SaaS-based product engineering offer scalability with limited incremental cost. Expansion into new geographies and verticals can significantly increase revenue without proportionate increases in fixed costs.
6. Favourable Industry Tailwinds
   Growing demand for automation, AI adoption, cloud migration, and enterprise modernisation presents strong multi-year opportunities, positioning the company for consistent expansion and global client acquisitions.