OkCreditSummer 2018Active☆Watch⊞Compare

OkCredit is one of 1063 Fintech companies tracked from Bengaluru, KA, India, on record since 2018. 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”

Simple and secure bookkeeping for Indian businesses.

Today, over 50 million SMBs issue informal credit in India, This is a hugely manual process which they spend hours tracking, reconciling, and collecting! The 50M SMBs in India account for 40% of the nation’s GDP. As much as 60% of their sales happen on credit. That’s ~24% of the country’s GDP (500B$) lying on paper! OKCREDIT as a company came into existence to start solving the most important problem of credit recovery in MSMEs. We as first movers developed a bookkeeping app that would help any merchant sitting at the remotest corner of the country with internet connectivity to record his transactions digitally. We helped them track the credit given to their customers and suppliers. With our Okcredit app a merchant can track the amount of credit given, monitor credit limit, send reminders and eventually can collect faster from their customers. So as a company our vision was to bring the data dark merchants onto the digital platform. We have changed the way the MSMEs record the transactions and eased their life today.

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.

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

If you work at OkCredit, claim this profile or suggest a correction. We aggregate from public filings, so help us keep your description, website and links accurate.