LendUpWinter 2012Inactive☆Watch⊞Compare

LendUp is one of 1063 Fintech companies tracked from San Francisco, CA, USA, on record since 2011. 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”

LendUp is a socially responsible company on a mission to redefine…

Could a fintech company be built that helps people today, and prepares them for tomorrow? One that offers consumers high quality, mobile-first credit and savings products and protects them from tricks and traps? That’s LendUp. LendUp's mission is to provide anyone with a better path to financial health. We believe there are two types of financial products: chutes and ladders. Ladders help people up, chutes push people down. One of our core values is that every product we offer at LendUp is a ladder, measured by the long-term financial well-being of our customers. LendUp credit cards, loans, and savings resources reflect our commitment to getting our customers to a better financial state. We are a data-driven company and build all of our technology in-house. With a firm belief that you're more than your credit score, we're extending credit as aggressively as possible and helping solve for the income volatility and financial instability that affects more than 140 million Americans. We are backed by more than $325 million in debt and equity financing from investors such as GV, PayPal, Y Combinator, QED Investors, Susa Ventures, Data Collective, Thomvest Ventures, Kleiner Perkins, Kapor Capital, Bronze Investments, radicle impact, Victory Park Capital, Reddit co-founder Alexis Ohanian, Gmail founder Paul Buchheit, Troy Carter, and many others. One of our values is "different backgrounds, same mission."​ We come from venerable Silicon Valley technology companies, major banks, nonprofits and law firms. We're former consumer advocates, regulators and academics. Together, we're bringing our mission to life. Join us!

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.

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

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