Addictive Learning Technology is an online education company that built its reputation teaching practical legal skills to Indian professionals and has since expanded into a wider upskilling and career-placement platform, now powered almost entirely by its own artificial intelligence tools. It was founded in 2017, listed on India’s NSE Emerge platform in early 2024, and spent the next two years in a deliberate “build phase,” pouring its IPO proceeds into a library of courses and over 50 proprietary AI career apps that now automate teaching, evaluation, and even sales. The recurring approach is to create a course, build an AI tool that lets one person do the work of fifty, and then connect the graduates to real work opportunities-a loop that turns students into a supply of talent for its own service marketplaces.
Business segments
Two engines that feed each other-a professional upskilling business that creates the talent, and a set of service platforms that sells that talent to businesses abroad.
1. Professional upskilling: where the talent pool is built
The company sells online courses that teach mid-career professionals practical skills in law, accounting, tax, and AI, then uses its own AI tools to personalise the learning and automate the grading.
- Courses for working professionals, and also college students and recent graduates - the target customer is primarily senior and mid-career professionals, but the company also caters to college students looking for advanced skills and recent graduates struggling to find jobs, which is why popular courses cover US tax law, international contract drafting, and AI orchestration rather than academic theory.
- AI does the heavy lifting in delivery - assignment evaluation that once needed large teams is now handled by AI with only four or five human evaluators managing over a thousand enrolments a month, and one person can now optimise LinkedIn profiles for roughly 1,000 students a week where 70-80 people were needed before.
- A library of 50-plus career apps - the company has built tools like a Pitch Machine that finds US small businesses, audits their websites, and generates personalised cold emails, and a Supreme Court petition drafting tool that helps a learner produce a professional-grade legal document.
- The content is a reusable asset - the company carries roughly ₹77 crore of intangible assets in courses, software, and AI that it built once and can deliver to every future cohort without repeating the spend, which is why monthly capital expenditure has now dropped to around ₹40 lakhs or below.
- Two brands for different audiences - LawSikho covers law and test prep, while Skill Arbitrage covers accounting, tax, and AI courses and now generates more revenue than the original legal business.
2. Service platforms: where the talent gets placed
The company runs specialised marketplaces that connect the professionals it trains with businesses that need them, keeping all the revenue instead of paying a commission to a third-party platform.
- A paralegal pipeline for US law firms - HelloParalegal finds, vets, and embeds Indian paralegals into US and UK law firm teams, and the company creates its own supply of talent through training programmes that competitors cannot access.
- Full revenue, no middleman cut - unlike general freelancing platforms that charge around 20% fees, the company retains the entire service fee because it owns the marketplace.
- Three more vertical platforms - AccioFinance offers virtual CFO and bookkeeping services, AccioContent provides technical writing and marketing content, and AccioESOPs handles employee stock option plan advisory and drafting.
- The courses-to-services loop - people who complete the company’s courses become the supply of verified professionals on its service platforms, which means the company can offer talent at lower cost while the graduates get work, creating a network effect that feeds both sides.
AI-powered sales infrastructure
The company has built a proprietary AI sales engine that analyses over 500 calls a day, lets one salesperson do the work of four, and trains freshers from tier-2 and tier-3 cities to hit productivity benchmarks in 45 to 90 days that traditionally took two to five years.
- A 300% productivity jump per caller - AI-powered voice agents with custom libraries for Indian accents handle initial calls, and the system processes over 7,500 hours of call data every month, which is how the company cut its sales headcount by three-quarters while keeping revenue steady.
- Freshers only, trained by the machine - the company now recruits exclusively from high-quality institutions in smaller Indian cities, and the AI acts as a “compass” that gets someone with no sales background performing at an experienced level within three months.
- The problem it solved - scaling the sales team had been the company’s biggest internal bottleneck; an attempt to grow from 50 to 150 callers ran into trouble, and the AI system is what management says fixed it.
Group structure and partners
The company is controlled by its two founders, operates through a web of Indian and international subsidiaries, and uses university and government partnerships to add credibility and price power to its courses.
- Founder-led with no share sales - Managing Director Ramanuj Mukherjee and Whole-Time Director Abhyudaya Agarwal are the promoters, and neither has sold any shares since the IPO.
- A Singapore holding company and a US university subsidiary - Addictive Learning Overseas Pte. Ltd. in Singapore holds 100% of Arizona University of Management and Technology Inc., a step-down subsidiary incorporated in Arizona in July 2025 that is intended to offer accredited MBA and other degree programmes.
- University tie-ups lower the cost for students - an agreement with Medhavi Skills University aligns 38 diploma courses with the national qualifications framework and exempts students from paying GST on course fees, while a joint diploma with NALSAR University of Law is co-certified by the National Skill Development Corporation and Skill India.
- An M&A strategy on standby - the company has a framework for acquiring technology, communities, or small companies that would take too long to build, but expects to do no more than a handful of deals, and possibly none at all.