Companies · Fintech
San Francisco · CA, USA; Remote · Fintech · founded 2015 · http://www.landed.com
Diligence memoA one-page analyst read on Landed — recommendation, valuation, rhythm, risks.→Landed: limited disclosed financing to assess.
Synthesized from the figures below est. — every claim rests on a number shown on this page.
Landed is one of 1063 Fintech companies tracked from San Francisco, CA, USA; Remote, on record since 2015. 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”
White-labeled shared appreciation down payment programs for employers
Landed helps employers develop programs that increase access to homeownership for their employees. We do this by unlocking the power of shared appreciation to create down payment programs tailored to the needs of each institution, improving recruitment and retention of key talent. Unlike other programs, shared appreciation is mutually beneficial to funders and buyers, creating a self-renewing pool of capital that recycles as homebuyers exit the program.
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.
| Stage | Amount · real | Announced | Post-money · est | Value · est | Conf. |
|---|---|---|---|---|---|
| No rounds recorded. | |||||
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.
Landed 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.
| Company | Sector | Stage | Raised · real | Value · est | Why similar |
|---|---|---|---|---|---|
| 1stCollab | Fintech | — | — | — | same sector |
| Abacus | Fintech | — | — | — | same sector |
| Accept.inc (formerly BoardRE) | Fintech | — | — | — | same sector |
| Aer | Fintech | — | — | — | same sector |
| Affinity | Fintech | — | — | — | same sector |
| Agentcard | Fintech | — | — | — | same sector |
| Ajaib | Fintech | — | — | — | same sector |
| Alex Bank | Fintech | — | — | — | same sector |
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.
| Company | Sector | Stage | Value · est | Match |
|---|---|---|---|---|
| Goodly Student loan repayment as an employee benefit. | Fintech | — | — | 77% |
| Up Payments Holding | Fintech | Seed | $29.8M | 76% |
| Bolster The platform for buying, selling and managing residential construction | Fintech | — | — | 75% |
| Fond Rewards and recognition SaaS for HR leaders | Fintech | — | — | 75% |
| Paid Autopilot for Accounts Receivable | Fintech | — | — | 74% |
| UpEquity UpEquity gives homebuyers more certainty and power. | Fintech | — | — | 74% |
| Lendtable We give employees cash advances for their 401k match and ESPP | Fintech | — | — | 74% |
| BenePass, Inc. Fintech for corporate compensation | Fintech | Series B | $180.6M | 74% |
See where Landed sits in the wider market — its sector, location and stage cohorts, each with their own leaderboards and capital-flow timelines.
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