Companies · Fintech
MH · India · Fintech · founded 2020 · https://easyplan.in/
Diligence memoA one-page analyst read on Easyplan — recommendation, valuation, rhythm, risks.→Easyplan: limited disclosed financing to assess.
Synthesized from the figures below est. — every claim rests on a number shown on this page.
Easyplan is one of 1063 Fintech companies tracked from MH, India, on record since 2020. By capital raised it ranks mid-pack (ahead of 66% of sector peers), and mid-pack by modeled valuation est..
Ranking is computed against this company's own sector cohort — reported capital is fact; valuation tiers are modeled.
AI analyst read est. — model-extracted from this company's public description, not a verified fact. 30%
operates a technology-led product inferred from public copy
Grounded in: “You are a venture analyst”
An AI-driven investment app for beginner investors in India
Easyplan is an investment app for beginner investors in India (kind of a cross between Betterment and Qapital in the US). We also provide users with a credit card secured by their investments. We launched with money market funds and have ~40,000 customers who’ve invested (~40% MoM growth). The pandemic spurred interest among new investors, and our AUM has grown 3x since April 2020. And we’ve done this with a cost of acquisition that is 10% of the industry average. Here’s the problem we see. Only 10% of the 100 million middle-income Indian workers have invested in the markets. This is despite the fact that they save ~30% of their income, making this a $325B potential market in assets under management. However, current investment apps in India are built for active investors. With over 16,000+ mutual funds and 5000+ stocks to choose from, they are far too complicated for beginners, who make up most of the market. We’re building an AI - driven investment planning software that is designed for beginners. Users use our conversational AI to get diversified mutual fund portfolios tailored to their goals. We also offer users a credit card secured by their investments, so they can earn return without losing liquidity. In terms of business model, we make commissions on the asset we manage, and interchange fees on the fund. We estimate we can make $12 per user per year, which is 6x our current acquisition cost of $2 per investor.
As reported in public records reported — not modeled.
Solid bars are reported offering amounts reported; hatched bars are the modeled post-money valuation est. — both on one shared scale so you can read raise-vs-worth at each round directly. Use the toggles to overlay data labels and the niche-peer / market average value lines.
No round amounts on record to chart.
No staged rounds to sequence.
Round size and date are reported; the stage label is inferred from round size. Valuation is modeled from stage benchmarks. Directional, not a quoted figure.
Not enough modeled valuation points to chart a trajectory.
Benchmarked against 1063 companies in Fintech. Each bar is a median (the middle company, not an average — outliers don't skew it). Two yardsticks: real money raised (reported on Form D) and modeled value (our estimate est.). These are whole-sector medians across all stages, except the per-stage row.
Raised more than 66% of sector peers (real $). Modeled value above 66% of peers (estimate).
Stage is inferred from round size est., not reported on the filing — a round's dollar size maps to a bucket: Pre-Seed <$1.0M · Seed $1.0M–$4.0M · Series A $4.0M–$15M · Series B $15M–$40M · Series C $40M–$100M · Series D+ $100M–$400M · Growth/Late >$400M.
| Stage | Amount · real | Announced | Post-money · est | Value · est | Conf. |
|---|---|---|---|---|---|
| No rounds recorded. | |||||
Predictive signals are modeled est. from this company's own cadence and step-up, plus sector benchmarks — directional, not advice. Peer set and a CSV export live in your analyst workspace.
Easyplan is an official record sourced from the U.S. Securities and Exchange Commission (SEC). U.S. data is aggregated from SEC Form D filings.
Nearest neighbours across the whole database — matched on sector, stage and capital scale, and on shared operators (officers or directors named at both companies in public filings). A discovery shortlist, not a valuation cohort — verify before acting, the same way modeled figures are directional.
| Company | Sector | Stage | Raised · real | Value · est | Why similar |
|---|---|---|---|---|---|
| 1stCollab | Fintech | — | — | — | same sector |
| Abacus | Fintech | — | — | — | same sector |
| Absa Bank | Fintech | — | — | — | same sector |
| Accend | Fintech | — | — | — | same sector |
| Accept.inc (formerly BoardRE) | Fintech | — | — | — | same sector |
| Aer | Fintech | — | — | — | same sector |
| Affinity | Fintech | — | — | — | same sector |
| Agent Banking Company | Fintech | Growth/Late | — | — | same sector |
Matched by meaning, not labels — a local language model reads each company's name, sector and description and ranks the closest in that learned space. This catches look-alikes that cross sector boundaries; the structured list above explains its matches, this one trusts the text. Directional, like every modeled signal here.
| Company | Sector | Stage | Value · est | Match |
|---|---|---|---|---|
| WithAI Agent harnesses for asset managers | AI / ML | — | — | 82% |
| Bimaplan Affordable insurance for the next billion Indians | Fintech | — | — | 80% |
| Wealor AI-native platform for wealth managers | Fintech | — | — | 79% |
| Piggy App for Indians to make investments in mutual funds, manage their… | — | — | — | 79% |
| PINA WealthFront of Indonesia | Fintech | — | — | 79% |
| Mine The AI personal finance company. | Fintech | — | — | 78% |
| Baraka Grow Your Wealth With Baraka | Fintech | — | — | 78% |
| Gullak Money Gullak automates savings & invests these in gold | Fintech | — | — | 78% |
See where Easyplan sits in the wider market — its sector, location and stage cohorts, each with their own leaderboards and capital-flow timelines.
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