India's first AI-graded
outcome-based learning platform
Built on a C2O loop — measured, personalized, proven.
C2O = Content to Outcomes
1.1 crore graduates a year.
Half can't prove they're ready.
Not a knowledge problem. A proof problem. They studied. They just can't show — to a recruiter, to an exam board, to themselves — that they're actually ready for the role they want.
Ready · Top-tier colleges, strong networks, or rare self-taught candidates who figured out what to study and how to demonstrate it.
Stuck · Have the degree. Consumed the YouTube. Ran the Coursera. But nothing in their hand says “hire this person”.
Content is free. Clarity isn't.
Free content created a new problem: infinite supply, zero curation, no way to know if what you're consuming is reliable and works — or whether you've actually learned it.
₹22,000 Cr burned. 2,148 startups dead.
India's edtech reset · 2022–2025. Post-BYJU's, the content-first playbook collapsed.
The reset is done. The window is open.
The category isn't broken. The content-first model is.
Consumers want the next thing — but only if it proves outcomes.
PW, upGrad, Coursera are rebuilding AI-native. We lead by months.
C2O: the loop that closes.
Meet Aisha — she wants to become a Product Manager. Here's her journey on ScaleUp.
Product Discovery 101
By Rohit Sharma · Senior PM @ Razorpay · 14 min
Every cycle produces data: which content → which skill → which offer. In 18 months, this dataset is unbuyable.
Meet Rohan — same loop, different goal.
The C2O loop is goal-agnostic. Same five steps for a B.Tech Year 3 candidate who wants to land an SDE role at a top product company — with the AI-graded Coding Capstone as the proof artifact.
Your plan to a role.
Not a library of courses.
Every learner gets a personalized journey from where they are today to the role they want — built and updated by AI, taught by practitioners.
Three pillars. Nobody does all three.
Coursera has content. Scaler has outcomes (SWE-only). PW has scale (exam cram). ChatGPT has AI. Only ScaleUp combines all three — for India's early-career market.
Curated expert content
10-min sessions from verified practitioners. No filler.
The C2O loop
Learn → Assess → Gap → Fix → Prove. AI smarter every cycle.
Outcome data as moat
Which content → which skill → which offer. Unbuyable at scale.
AI eats execution.
Judgment stays.
Every generation of AI — Claude, ChatGPT, whatever ships next — makes a new class of human work free. The skill that appreciates is the ability to decide. ScaleUp trains and proves that skill, so our learners stay valuable no matter which model launches next.
“68% of India's white-collar professionals expect AI to automate their jobs within 5 years.”
— Nithin Kamath · June 2025
For every task AI now does for free, a deeper judgment skill survives — and that's exactly what ScaleUp builds and proves.
Architecting systems
Choosing what to build — not just how.
Identifying markets
Seeing demand before it becomes obvious.
Deciding under uncertainty
Betting when the data is incomplete.
Reading trade-offs
Knowing what to give up — and why.
Leading through ambiguity
Moving teams without a playbook.
Asking the right questions
Finding the real problem under the one asked.
You own the intent.
That's the skill ScaleUp trains — and proves — so you stay valuable, no matter which AI ships next.
We train decisions.
And we prove them.
You consume content and hope something sticks. No measurement. No proof. No feedback on what you actually got wrong.
Each step produces data. We measure what you know, route you to your gaps, and prove readiness with an AI interview that a recruiter would run.
Our loop doesn't test can you do this? It tests do you know WHY, WHEN, and WHETHER to do this? That's the skill AI can't replace — and the outcome we can prove.
Four streams. One user.
One acquired user can be monetized four ways — subscription is the floor, cohorts and mentorship lift ARPU on the same user.
A $29B market.
We're starting with ₹740 Cr.
Not boiling the ocean. We pick a narrow, high-intent wedge — early-career professionals and exam aspirants who need proof, not content.
Serviceable Obtainable Market (Year 1)
Our entry wedge — Product Management, AI/Coding, Entrepreneurship, plus competitive exams from Month 3. Narrow, defensible, and compounding.
The top-right quadrant is empty.
Outcome-first AND AI-native, for India's 22–27 year old early-career professional, across multiple career tracks, at consumer pricing. Nobody occupies this space. That's where ScaleUp lives.
Multi-track + ₹499/mo · not just SWE
Scaler does outcome-based learning for software engineers behind a ₹2.5L paywall. We do it for every early-career track with an AI coach at ₹499/mo — and the outcome data becomes our moat.
Why us, why now.
Two founders, complementary lenses. One lived the problem as a learner and hired for it as an employer. The other spent a decade building demand in the exact consumer segment we serve.
“I walked this path. Then I hired for it.”
Tier-2 college, textbook-heavy, implementation-light. I drowned in YouTube trying to crack PM interviews — never sure what to consume or whether I'd understood enough to turn it into an outcome. ScaleUp is the loop I needed.
2nd-time founder — previously built Influhitch, an influencer marketing platform. Hired hundreds of Indian graduates from the employer side.
“A decade building demand. And watching where trust breaks.”
That's the vantage point I bring to ScaleUp: build demand honestly, retain on real outcomes, and never repeat the BYJU's playbook.
Growth, sales, and brand leadership — measurable GTM across startups and mature orgs.
+ 2 part-time developers · 1 intern · Capital-efficient by DNA, not by accident.
We shipped v1. It didn't work.
So we rebuilt the right thing.
The v1 failure is the reason we know the v2 thesis is right. 300 real users told us content-first doesn't change outcomes — so we built the loop that does.
v1 · Content-first
Users watched, bookmarked, churned.
Rebuilt from scratch
300-user feedback drove a new loop.
v2 · Outcome-first · in beta
Platform operational on iOS + Android — Compass unified AI coach, 6-dimension AI-graded coding capstones with cross-device hand-off, adaptive plan engine, all live. Closed beta running with IIT-B + DJ Sanghvi cohorts; cohort outcome data publishes at end of beta.
Seed-ready milestone
3 verticals live from M1 + CompExam at M3. Unit economics proven. Moat compounds.
v1 · Content-first
Users watched, bookmarked, churned.
Rebuilt from scratch
300-user feedback drove a new loop.
v2 · Outcome-first · in beta
Platform operational on iOS + Android — Compass unified AI coach, 6-dimension AI-graded coding capstones with cross-device hand-off, adaptive plan engine, all live. Closed beta running with IIT-B + DJ Sanghvi cohorts; cohort outcome data publishes at end of beta.
Seed-ready milestone
3 verticals live from M1 + CompExam at M3. Unit economics proven. Moat compounds.
₹6 Cr to fund the next
13 months of execution.
What this round buys: 3 verticals live from M1, the full C2O loop in production, and 1,500 paying users at ₹11.7L MRR by Month 12. First close Oct 2026, final close Dec 2026.
Where the ₹6 Cr goes
What ₹6 Cr delivers
Operators who bring distribution, creator networks, or edtech domain depth alongside capital.
Every claim above, with the numbers behind it.
The Deep Dive is an 11-section investor pack — the model, the GTM math, the creator economics, the tech architecture, and the cap table. Built for investors who want to look under the hood before a call.
Full P&L, unit econ, and cap table.
Month-by-month revenue, burn, GM, and ARPU build. The math behind 12.5x LTV:CAC. SAFE terms and cap-table walk through Seed.
How we get to 1,500 paying users.
Channel-by-channel GTM with milestone targets. 5-phase product roadmap. Honest SWOT. Three structural shifts that make this the moment.
Outcomes shipped. Stack that scales.
Operator-grade platform shipped pre-funding — 6-dimension AI-graded coding capstones, Compass unified AI coach, daily personalised plan engine. Three-tier creator model with capped equity. 4-layer stack riding the AI cost curve down.
India doesn't need another content library.
It needs a library organised around outcomes.
20 minutes. We'll walk you through the C2O loop live, show you the outcome-data moat, and answer anything you want to throw at us.
Learn with purpose. Achieve your goals.