OneTextWinter 2023Active☆Watch⊞Compare

OneText is one of 1063 Fintech companies tracked from San Francisco, CA, USA; Remote, on record since 2022. 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”

Frictionless payments via SMS

OneText is disrupting SMS marketing and payments. We win incremental sales for direct to consumer brands by making every purchase as effortless as paying with your hotel room number. OneText shoppers literally reply and buy with one text. In our first year, we’ve onboarded 50 fast-growing e-commerce brands and have added as much as 14% in incremental revenue to their bottom lines. In March, we generated $597,000 dollars in payments. In April, we’ll book $50,000 dollars in revenue. Founders Jonathan Fudem/CEO and Daniel Brain/CTO met at PayPal Checkout where we designed and launched some of the world’s best checkout experiences. We left PayPal to build a payments company that actually helps merchants acquire customers and win sales. The CMO of our largest customer, a $90M clothing brand, says we have revolutionized marketing for his company, and are, quote: “the best thing that’s happened to SMS marketing in forever.” We are excited to share what you can do with OneText.

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.

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

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