Accept.inc (formerly BoardRE)Winter 2019Acquired☆Watch⊞Compare

Accept.inc (formerly BoardRE) is one of 1063 Fintech companies tracked from Denver, CO, USA, 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”

BoardRE is a new type of mortgage company that upgrades any offer…

In a transaction powered by Board, sellers and agents are doing business with Board -- not the buyer. We act as an intermediary buyer of a home, using our cash to buy homes for the 80% of homebuyers who need and qualify for a mortgage. By removing the lender from real estate transactions, sellers and agents to close in as little as 2-3 days and buyers can lock-in their homes of choice at the best possible price before closing on their mortgage. With Board, buyers can "Buy Now. Mortgage Later" so everyone can have a cash deal. We differentiate ourselves from others in the "iBuyer" market by allowing anyone to have an all cash deal as opposed to buying, fixing and flipping properties for ourselves (e.g. Opendoor, OfferPad...etc). Board works directly with national lenders to evaluate the creditworthiness of buyers upfront and will use a short term credit facility to facilitate the purchasing of homes.

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.

Accept.inc (formerly BoardRE) 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 Accept.inc (formerly BoardRE) sits in the wider market — its sector, location and stage cohorts, each with their own leaderboards and capital-flow timelines.

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