LevelSummer 2021Acquired☆Watch⊞Compare

Level is one of 1063 Fintech companies tracked from San Francisco, CA, USA; Remote, on record since 2021. 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”

Fast and simple fintech financing

Level provides fast and simple financing to lending startups that gets them off the ground and grows with them as they scale. We do so by buying loans in small quantities at first and rewarding our customers with more access to capital based on performance. Co-founder & CEO, Vladimir Korshin, previously worked in the traditional venture debt system at Silicon Valley Bank, where he noticed that strong startups were frequently denied from non-dilutive financing because they were too small. Just 4 weeks after going live with our first customer, we purchased $1.3M in loans across 6 customers. The founding team brings 30+ years of startup experience: Vladimir previously worked as an operator at Facebook, Eventbrite, and Niantic; Asa Schachar was an engineer at Microsoft and managed teams of engineers at Optimizely; Molly Hogan led new and international product initiatives at Amazon for over 7 years. Level is backed by Liquid2, Y Combinator (S21), and others. https://www.trylevel.app/

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.

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

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