Fundbox
E642872
Fundbox is a financial technology company that provides small businesses with fast, data-driven access to credit and working capital.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Fundbox canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T7113644 — resolving that mention is where its identity was fixed. The disambiguator weighed these candidate entities and picked the highlighted one (or “None”, minting a new entity). This is how homonymy is resolved: the same surface form can point to different entities.
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fundbox Context triple: [Bezos Expeditions, notableInvestmentIn, Fundbox]
-
A.
Qonto
Qonto is a European neobank and financial management platform designed to provide business accounts and streamlined banking services for freelancers, startups, and small to medium-sized enterprises.
-
B.
Affirm
Affirm is a U.S.-based financial technology company that provides buy now, pay later and installment loan services for consumers at the point of sale.
-
C.
WePay
WePay is an online payment services company that provides integrated payment processing solutions for platforms, marketplaces, and software providers.
-
D.
LendingClub
LendingClub is a U.S.-based financial services company best known for pioneering online peer-to-peer lending and later evolving into a digital bank offering personal loans and related financial products.
-
E.
DocuSign
DocuSign is a leading electronic signature and digital transaction management company that enables users to securely sign, send, and manage documents online.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Fundbox Target entity description: Fundbox is a financial technology company that provides small businesses with fast, data-driven access to credit and working capital.
-
A.
Qonto
Qonto is a European neobank and financial management platform designed to provide business accounts and streamlined banking services for freelancers, startups, and small to medium-sized enterprises.
-
B.
Affirm
Affirm is a U.S.-based financial technology company that provides buy now, pay later and installment loan services for consumers at the point of sale.
-
C.
WePay
WePay is an online payment services company that provides integrated payment processing solutions for platforms, marketplaces, and software providers.
-
D.
LendingClub
LendingClub is a U.S.-based financial services company best known for pioneering online peer-to-peer lending and later evolving into a digital bank offering personal loans and related financial products.
-
E.
DocuSign
DocuSign is a leading electronic signature and digital transaction management company that enables users to securely sign, send, and manage documents online.
- F. None of above. chosen
Statements (29)
| Predicate | Object |
|---|---|
| instanceOf | financial technology company ⓘ |
| businessModel | B2B ⓘ |
| country |
United States
ⓘ
linked to:
United States of America
|
| focusesOn |
cash flow management
ⓘ
short-term financing needs ⓘ |
| hasFeature |
data-driven risk assessment
ⓘ
integration with accounting platforms ⓘ integration with business bank accounts ⓘ |
| headquartersLocation |
San Francisco, California
ⓘ
linked to:
San Francisco
|
| industry |
financial technology
ⓘ
small business lending ⓘ working capital financing ⓘ |
| offers |
business line of credit
ⓘ
short-term credit ⓘ working capital ⓘ |
| primaryRevenueSource | interest and fees on credit products ⓘ |
| provides | credit lines up to a fixed limit ⓘ |
| regulatoryDomain | financial services ⓘ |
| sector | fintech ⓘ |
| serviceCharacteristic |
automated credit decisions
ⓘ
fast access to credit ⓘ online application process ⓘ working capital management ⓘ |
| targetCustomer |
SMBs
ⓘ
small businesses ⓘ |
| uses |
accounting software integrations
ⓘ
business transaction data ⓘ data-driven underwriting ⓘ machine learning ⓘ |
How these facts were elicited
The pipeline generated the facts above by prompting gpt-5.1 with this entity's name + description and the instruction below.
Instruction
You are a knowledge base construction expert. Given a subject entity and a description of it, return factual statements that you know for the subject as a JSON list of dictionaries(triples), where keys must be "subject", "predicate" and "object". The number of facts may be very high, between 25 to 50 or more, for very popular subjects. For less popular subjects, the number of facts can be very low, like 5 or 10. # Requirements - If you don't know the subject at all, return an empty list. - If the subject is not a named entity, return an empty list. - Include at least one triple where predicate is "instanceOf". - Do not get too wordy. - Separate several objects into multiple triples with one object.
Input
Subject: Fundbox Description of subject: Fundbox is a financial technology company that provides small businesses with fast, data-driven access to credit and working capital.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.