Addictive Learning Technology IPO
Addictive Learning Technology Limited
₹1,33,000 /1000 sharesMinimum Investment
Addictive Learning Technology IPO Details
Bidding Dates | Min. Investment | Lot Size | Price Range |
---|
19 Jan ‘24 - 24 Jan ‘24 | ₹1,33,000 | 1,000 | ₹133 - ₹140 |
Addictive Learning Technology Limited is an Edtech platform specialized in offering courses primarily to senior and mid-career professionals and in some cases to young professionals. The company offers upskilling courses and training programs in law, finance, compliance, human resources, business consulting, artificial intelligence, content writing, and data science. These courses are provided under three distinct brands: LawSikho, Skill Arbitrage, and Data is good.
The platform also serves college students seeking advanced skills and recent graduates who want to secure employment. Some courses cover subjects like US Intellectual Property Law, US Tax Law, US Accounting, Bookkeeping and Corporate Compliances, International Contract Drafting, International Business Law, International Labour Laws, US Technology Law, US Corporate Law, and US Real Estate Law, among others. It also provides international bar-exam courses like Canada Bar Exam, UK Solicitor Qualification Exam and California Bar Exam. ;
Managing director
Mr. Ramanuj Mukherjee
Parent organisation
Addictive Learning Technology Limited
Strengths & Financials of Addictive Learning Technology
Addictive Learning Technology collaborates with NSDC to provide industry-aligned, skill-focused education and training. This helps in enhancing credibility, extending reach, and giving the learners certifications recognized by Skill India and NSDC.
Apart from offering a diverse collection of courses, the company’s business model focuses on integrating industry experts as teachers through guest lectures. This is primarily to bridge the gap between theoretical concepts and practical applications. The courses are delivered through multiple media.
The company focuses on mobile accessibility and provisioning of multi-format courses to ensure wider reach.
Addictive Learning Technology leverages AI technology to enhance teaching methods. It also uses AI-based sales software for sentiment analysis in sales calls.
The company has seen consistent annual enrollment growth across its courses.
The company is currently debt-free.
The company’s business model is such that it will require continuous working capital. Inability to maintain cashflow may impact business.
The company reported a restated loss after tax in some of the previous years and could incur additional losses in the future. It reported a restated loss of ₹49.07 lakhs for the period ended March 31, 2022, and Rs. 0.54 lakhs for the period ended March 31, 2021.
The company operates in a highly competitive industry that requires it to remain abreast of the latest developments and deliver quality to its clientele.
The company uses a Learning Management System (LMS) and third-party software to provide online courses. This reliance on external platforms poses risks, requiring robust cybersecurity measures and contingency plans to protect the business.
The success of Addictive Learning Technology hinges significantly on ongoing contributions from its management and is highly reliant on strong relationships.
Rising cost of hiring and retaining skilled resources could impact the business operations.
The company’s primary income source is the Legal Courses Vertical, operating under the brand name "LawSikho." Failing to manage and attract clients effectively could impact revenues.
There is outstanding litigation against the company’s Promoters. In case of adverse outcomes, it could affect the company’s business, results of operations and financial condition.
Addictive Learning Technology Financials
*All values are in Rs. Cr
Application Details of Addictive Learning Technology IPO
Apply as | Price band | Apply upto |
---|
Regular | ₹133 - 140 | ₹2 - 5 Lakh |
High Networth Individual | ₹133 - 140 | ₹2 - 5 Lakh |
For Addictive Learning Technology IPO, eligible investors can apply as Regular.