Companies · Fintech
New York · NY, USA · Fintech · founded 2018 · https://www.letsfuse.com/
Diligence memoA one-page analyst read on Fuse — recommendation, valuation, rhythm, risks.→Fuse: limited disclosed financing to assess.
Synthesized from the figures below est. — every claim rests on a number shown on this page.
No named principal in this company's public records yet — see all operators below.
Fuse is one of 1063 Fintech companies tracked from New York, NY, USA, on record since 2018. 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”
Unified API for financial data aggregators.
Fuse provides single API that integrates with multiple bank connection vendors, such as Plaid, MX, Teller, Finicity and Yodlee. Users can easily search for and select their bank via a drop-in component in your app, and then the most reliable bank connection vendor for that bank will be displayed. Fuse also provides a consistent data model for all bank integrations and handles the necessary data transformations and API quirks for you. By using Fuse, companies can improve the reliability of bank connections, reduce disconnections, and support more banks.
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.
Fuse 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 |
| Absa Bank | Fintech | — | — | — | same sector |
| Accend | Fintech | — | — | — | same sector |
| Accept.inc (formerly BoardRE) | Fintech | — | — | — | same sector |
| Aer | Fintech | — | — | — | same sector |
| Affinity | Fintech | — | — | — | same sector |
| Ajaib | 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 |
|---|---|---|---|---|
| Fuse Financial Technologies Inc. | Software / Tech | Seed | $19.1M | 83% |
| Rutter The Unified API for Business Financial Data | Fintech | — | — | 81% |
| Decentro API Platform for Banking Integrations (Plaid for India and APAC) | Fintech | — | — | 81% |
| Pluggy Plaid for Brazil: we allow developers to access users' financial data | Fintech | — | — | 80% |
| Mono Plaid for Africa, but better. | Fintech | Pre-Seed | $17.0M | 79% |
| Finantier Plaid for Southeast Asia | Fintech | — | — | 79% |
| Integration Labs The Unified API for Business Financial Data | Fintech | — | — | 79% |
| Method Financial Financial connectivity API for consumer liabilities | Fintech | — | — | 78% |
Public records name issuer insiders, not the funds in a round — these investor links come from corroborating sources.
| Firm | Round | Confidence |
|---|---|---|
| Main Street Capital CORP | Common Stock | 90% |
| Main Street Capital CORP | Secured Debt | 90% |
See where Fuse sits in the wider market — its sector, location and stage cohorts, each with their own leaderboards and capital-flow timelines.
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