Addictive Learn scrapped its 300-person sales plan and killed its US university bid
CEO Ramanuj Mukherjee admitted to 18 months of missed guidance, shelved international expansion, and is now betting on AI to replace a human sales team he once promised to triple.
What's new
- FY26 revenue was ₹75.7 cr, far below the ₹120 cr guidance given in December 2024.
- Sales team cut from 80 to 40-50 closers; management says AI can hit ₹10 cr monthly revenue without scaling headcount.
- US university acquisition in Arizona put on hold; all international expansion deferred to focus on cash flow.
- Consolidated PAT was negative ₹50 lakhs in FY26; management says it would have been ₹3 cr profit without a revenue recognition policy change.
Themes from the call
Guidance credibility
Management missed ₹120 cr FY26 revenue guidance by 37% and is now refusing to give numeric P&L guidance, citing 18 months of missed targets.
AI restructuring
The sales function was cut from 80 to 40-50 people and replaced by an AI-first conversion engine, reversing a plan to triple headcount to 300.
Strategic retreat
US/UK university acquisitions have been abandoned; the company is focusing purely on India cash flow until ₹2 cr monthly positive cash flow stabilizes.
Guidance watch
- Management will no longer give numeric P&L guidance after 18 months of misses; internal operating goal is ₹2 cr monthly positive cash flow (needs ₹7.5-8 cr monthly revenue).
- Capex budget for FY27 is ₹5-6 cr, self-funded from operations. No fundraising planned.
- Revenue recognition policy tightened from 6-month to monthly recognition, deferring ₹9 cr from FY26 to FY27.
Risk flags
- A ₹44 cr revenue miss on ₹120 cr guidance followed by refusal to give guidance makes forward visibility near-zero.
- The AI-first sales thesis is unproven at ₹10 cr monthly scale; management is betting the business model on it.
- Consolidated PAT was negative despite management claiming the underlying business is profitable; the ₹9 cr deferral creates a question about FY27 revenue quality.
Key quotes
-
"We missed our guidance for the last year and a half. I am reluctant to give formal numeric guidance."
— Ramanuj Mukherjee, CEO -
"The sales team was overhauled and is now AI-first. Around 40 to 50 people are sales closers, with some trainees."
— Ramanuj Mukherjee, CEO -
"I want to enter the US market with the university, but we have pulled back for now... We will hold on international expansion for now."
— Ramanuj Mukherjee, CEO
The brief
Addictive Learn's June 2026 call was less an earnings discussion than a confession tour. CEO Ramanuj Mukherjee walked through three abandoned plans: the 300-person sales team, the US university acquisition, and the ₹120 cr revenue guidance. Each was announced with conviction on prior calls. Each is now dead or deferred. The new story is simpler and more honest: the company will run lean, use AI to replace human closers, and focus on hitting ₹2 cr monthly positive cash flow before doing anything else. The numbers tell a story of a company that overbuilt and overpromised. FY26 revenue of ₹75.7 cr missed the ₹120 cr target by 37%. Consolidated PAT was negative ₹50 lakhs, though management argues the underlying business was profitable once you strip out a ₹9 cr revenue recognition deferral and one-off ad algorithm disruption that spiked lead costs 100-300% in February-March. The AI thesis is real but unproven at scale. The company says 40-50 closers can hit ₹10 cr monthly revenue because an AI engine now handles discovery calls, identifies student pain points, and builds personalized pitches before a human touches the deal. NPS reached 60. April-May were cash flow positive, and June was the best month on record. But the company needs ₹7.5-8 cr monthly revenue to hit its ₹2 cr cash flow target, and it has not proven it can sustain that. The balance sheet is clean — debt-free, 65% promoter ownership, zero pledge, founders buying in the open market — but clean balance sheets don't fix missed guidance. The real question is whether the AI sales engine can deliver at the scale management now promises, or whether this is the first of many strategy resets.
Addictive Learn is trading its credibility for optionality — a bet that only works if the AI sales engine scales.