Gullak MoneySummer 2022Active☆Watch⊞Compare

Gullak Money is one of 1063 Fintech companies tracked from Bengaluru, KA, India, on record since 2022. 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”

Gullak automates savings & invests these in gold

Gullak is a mobile app that automates savings & invests these in Gold. We launched in India 60 days ago and have grown from 0 to 40k transacting users and hit a monthly GTV of $280K already. We are growing 25% week on week. India is a nation of savers but the way the majority of India saves is non-smart & does not create wealth. There are 200 Mn Indians who save manually in bank deposits, the returns from these instruments do not even beat India's inflation. Gold is an instrument that India loves - 30Bn worth gold is purchased in India every year by middle income households. Gold has great cultural significance in India & there is high familiarity with the asset class. Despite gold being a familiar asset class & giving 5% higher returns than bank deposits, 200 Mn Indians still save manually in these non wealth creating bank deposits. This is largely because the ways to save in Gold required painful discrete activities such as manually accumulating money to buy gold, going to offline stores to buy this gold, incurring storage charges & more. The minimum ticket size for purchasing gold at these stores is $50 adding to more friction to saving in Gold. Using automated savings, Gullak now makes it extremely easy for users to save small amounts regularly($1/day) in digital Gold.This was not possible a year ago because the underlying infrastructure(UPI Autopay) was missing. With 50 Mn Indians saving $2/day & with gold backed lending, this is a $1.5Bn market opportunity. Gullak’s Founding team is the team which built BHIM UPI App(10Mn Downloads in 10 Days), this was launched by the PM of India. We built large scale payment systems for partners like GooglePay / Amazon, processing more than 30Mn payments/day. This is the same team that has built more than 40+ consumer brands & their initial growth strategy.

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.

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.

Gullak Money 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.

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.

See where Gullak Money sits in the wider market — its sector, location and stage cohorts, each with their own leaderboards and capital-flow timelines.

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