Moving beyond "Content Libraries" to "Outcome Engines." We are raising a pre-seed round to build the first AI-driven continuous learning OS for India's IT & Service sectors.
Why Now? The "EdTech 2.0" Shift
The first wave of EdTech was about access (Udemy, Coursera). The second wave is about relevance. With generic course completion rates dropping below 5%, the market is demanding hyper-personalization.
India's professional upskilling market breakdown. Click segments for value.
69% of Indian IT jobs are at risk of automation. Professionals are panic-buying courses but failing to upskill due to lack of guidance.
Corporates are moving from "per license" models to "outcome-based" spending. They want ROI on skills deployed, not hours watched.
With 5G and cheap data, high-fidelity interactive learning on mobile is now viable for Tier-2/3 city professionals.
MVP Scope: The "Outcome Engine"
Our MVP does not create content. It aggregates, curates, and sequences existing best-in-class content using LLMs to create a custom path for each user. This lowers CAPEX significantly.
Automated granular assessment of current proficiency.
Generates a 'playlist' of blogs, videos, and GitHub repos.
Users build micro-projects validated by peer cohorts.
Click on the cards to explore the technical feasibility and MVP status of each component.
The "Cheapest & Authentic" Tests
Before writing code, we validated demand using the "Wizard of Oz" technique and Fake Door tests on LinkedIn. The results indicate a desperate need for guidance over content.
We ran ads for a "Personalized AI Career Coach" targeting Junior Devs.
Manually curated learning paths for 50 users via email.
Source: Internal Pilot Data vs Industry Benchmarks
SaaS Business Model Feasibility
Our model relies on high retention through continuous value delivery (career growth), resulting in a superior LTV:CAC ratio compared to transactional course sales.
Conservative scenario assuming 15% MoM growth.