LendsnapSummer 2016Inactive☆Watch⊞Compare

Lendsnap is one of 1063 Fintech companies tracked from Berkeley, CA, USA, on record since 2016. 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”

The Digital Mortgage Company.

The Digital Mortgage Company Lenders will write $1.5T of home mortgages in 2017, and will have to evaluate every single borrower's ability to repay. This is expected to cost the industry $15B in human labor. We talked to these humans, and learned that they spend 1/3 of their time just asking other humans for documents and data that are almost universally available online. While the market is slowly moving to transactional data, Lendsnap is the only company helping lenders get ahead of the competition by delivering original electronic documents and data sets. That means portfolios of our lender customers stay completely liquid in the secondary market. No one else can offer that today. Lendsnap instantly gathers the original borrower documents and data for lenders by linking to consumer financial accounts. We increase loan origination team productivity by 25%+ and save applicants several hours on each application as well. Our intuitive and easy-to-use workflow makes it easy and safe for borrowers to turn in and for loan officers to receive the necessary documents for lenders to make a credit decision. As the only company delivering the right documents and data to originate non-agency loans such as VA, FHA, and subprime, we are able to work with all types of lenders. Furthermore, we are uniquely suited to serve mortgage brokers (12% market share) who have to remain flexible to the credit needs of their diverse borrowers. We are the only post-launch company that delivers actual electronic statements straight from source institutions, such as Bank of America, TurboTax, Chase, and hundreds more.

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.

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

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