Worldwide funding data feed (all VC, angel, and PE funding across the world)
Verified Data Provider| # | Last Leadership Hiring Date |
SEMrush - Monthly Visits |
Founded Date |
Operating Status |
Company Type |
IPO Status |
Contact Job Departments |
Actively Hiring |
Last Funding Date |
Estimated Revenue Range |
Last Funding Type |
Industries |
Headquarters Location |
Description |
CB Rank (Company) |
Headquarters Regions |
LinkedIn |
Last Funding Amount |
Last Funding Amount |
Last Funding Amount Currency (in USD) |
Last Funding Amount Currency (in USD) |
Funding Status |
Number of Funding Rounds |
Last Equity Funding Amount |
Last Equity Funding Amount |
Last Equity Funding Amount Currency (in USD) |
Last Equity Funding Amount Currency (in USD) |
Last Equity Funding Type |
Total Equity Funding Amount |
Total Equity Funding Amount |
Total Equity Funding Amount Currency (in USD) |
Total Equity Funding Amount Currency (in USD) |
Total Funding Amount |
Total Funding Amount |
Total Funding Amount Currency (in USD) |
Total Funding Amount Currency (in USD) |
Founders |
EMail ID of founder (s) |
Email ID of CEO |
Email ID of senior most sales decision maker |
Email ID of senior most marketing decision maker |
Email ID of CTO |
Phone no. *(direct) of CEO |
Phone no. *(direct) of senior most sales head |
Phone no. *(direct) of CMO |
Phone no. *(direct) of CTO |
|||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | xxxxxxxxxx | Xxxxxxxxx | xxxxxx | xxxxxxxxxx | Xxxxx | Xxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxxxxxx | Xxxxxxxxxx | xxxxxxxxx | Xxxxxxxxx | xxxxxxxxx | Xxxxxxx | xxxxxx | Xxxxx | xxxxxxxxxx | xxxxxx | Xxxxxxxxxx | xxxxxx | Xxxxx | Xxxxxx | xxxxx | xxxxxxxx | xxxxxxx | Xxxxx | Xxxxxxxx | xxxxxxxxxx | xxxxxx | Xxxxxxxxx | xxxxxx | Xxxxxxxxx | Xxxxxxxxx | xxxxxxxxxx | Xxxxxx | Xxxxx | xxxxxx | xxxxxxx | xxxxxxx | Xxxxx | xxxxxx | Xxxxxxxxxx | xxxxxxxx | xxxxxx | Xxxxx | Xxxxxxx | xxxxxx | Xxxxxxxx | Xxxxxxx | Xxxxx | xxxxxx | xxxxxxxxxx | Xxxxx | xxxxxxxxxx | xxxxxxxxx |
| 2 | Xxxxxxx | xxxxxxxx | xxxxxxxx | Xxxxxxxxxx | Xxxxxxxx | Xxxxxxxx | xxxxxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxxxxxx | xxxxx | xxxxxxx | xxxxxxxxx | Xxxxxx | Xxxxxxx | Xxxxxxxxx | xxxxxxxxx | xxxxxxxxx | Xxxxx | xxxxxxxx | Xxxxxxx | xxxxxxxxx | Xxxxxxx | xxxxx | Xxxxxxx | xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxx | xxxxxx | Xxxxxxxxx | xxxxx | Xxxxxxxxxx | xxxxxx | xxxxx | xxxxxxxx | Xxxxxx | Xxxxxxxxxx | xxxxxxxxx | Xxxxxxxxxx | xxxxxxxx | xxxxx | Xxxxxx | xxxxxxxxxx | xxxxxxxxx | xxxxx | xxxxx | xxxxxxxx | xxxxxx | Xxxxxxxxxx | xxxxxxxxxx | Xxxxx |
| 3 | xxxxxxx | Xxxxxxxx | Xxxxxxx | xxxxx | xxxxxxxx | xxxxxxxxxx | Xxxxxx | xxxxxxxxx | Xxxxx | xxxxx | xxxxxxxxx | xxxxxxx | Xxxxxxxxx | Xxxxxxx | xxxxxxxxxx | Xxxxx | xxxxxxxxx | xxxxxxx | Xxxxxx | xxxxxxxxx | xxxxx | Xxxxxxx | xxxxxxxxx | Xxxxxxxx | xxxxxxxx | Xxxxxxxx | Xxxxxxxx | xxxxxxxx | xxxxxxxxx | Xxxxxxx | Xxxxxxxxx | xxxxxxxx | xxxxx | Xxxxxxxxxx | xxxxxxxxxx | xxxxxx | Xxxxx | Xxxxxxx | Xxxxx | Xxxxxx | Xxxxx | Xxxxxxxxx | xxxxxx | xxxxxxxx | Xxxxxxxxx | Xxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxx | Xxxxxxx | xxxxxxxxx | Xxxxx | xxxxx | Xxxxxx | xxxxxxxxx |
| 4 | xxxxxxx | xxxxxxxxx | Xxxxxxxxxx | xxxxxxxxx | Xxxxx | Xxxxx | Xxxxxxxxx | xxxxxxxxxx | xxxxxx | xxxxxxxxx | xxxxxxx | Xxxxxxx | Xxxxxxxxxx | Xxxxxxxxxx | Xxxxxxxx | Xxxxxxxxx | xxxxx | Xxxxxxx | xxxxxxxxxx | Xxxxxxxxx | Xxxxxxxx | xxxxxxxxxx | xxxxxxx | Xxxxxxxx | xxxxx | Xxxxxx | xxxxxx | xxxxxxxx | xxxxxxx | Xxxxx | Xxxxxxxxx | Xxxxx | Xxxxxxx | Xxxxxxxx | xxxxxxxxx | xxxxxxxx | xxxxx | Xxxxxxxxxx | Xxxxxxx | xxxxxxxxx | xxxxxxx | xxxxxxxxxx | xxxxxx | xxxxx | Xxxxxxxxxx | Xxxxxxxxx | xxxxxxx | Xxxxxx | Xxxxx | Xxxxxxxx | xxxxxxxxx | xxxxxxxx | Xxxxxx | xxxxxxxxxx | xxxxxxxxx |
| 5 | xxxxx | Xxxxx | xxxxxxx | xxxxxxxxxx | Xxxxxx | Xxxxxxxxx | xxxxxxx | Xxxxxxxx | xxxxx | xxxxx | Xxxxxxxxxx | Xxxxxxx | Xxxxxxxx | Xxxxxxx | xxxxx | xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxxxxxx | xxxxxxx | Xxxxx | xxxxxxxxx | xxxxxxxx | Xxxxxxxx | xxxxxxxx | Xxxxxxx | Xxxxxx | Xxxxxxxxx | Xxxxxxxx | Xxxxxxxxxx | Xxxxxxx | Xxxxxx | Xxxxxxxxxx | xxxxxxxxxx | xxxxxxxxxx | Xxxxxxx | Xxxxx | Xxxxx | Xxxxx | Xxxxxxx | xxxxx | xxxxxxxxx | xxxxxxx | Xxxxxxx | xxxxxx | xxxxxxxxxx | xxxxxxxxxx | Xxxxxxx | xxxxxxxxx | Xxxxx | xxxxxxx | Xxxxxx | Xxxxx | xxxxxxxxxx | xxxxxxxxx |
| 6 | Xxxxxxxxxx | Xxxxxxxxx | Xxxxxxxx | xxxxxxxxx | Xxxxxxx | Xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxxxxx | Xxxxxxx | Xxxxxxx | xxxxxxxx | xxxxx | Xxxxx | Xxxxxxxx | xxxxxxxx | Xxxxxxxxx | xxxxxxxxxx | xxxxxxxxxx | xxxxxxxxx | xxxxxxxxx | Xxxxxxx | Xxxxxxx | Xxxxxxx | Xxxxxxx | xxxxxxx | Xxxxxxxxxx | xxxxxxxx | Xxxxx | xxxxxxxxxx | xxxxxxxxxx | xxxxxx | xxxxxxxx | Xxxxxxxx | xxxxxx | xxxxxxxx | xxxxxx | Xxxxxxxx | xxxxxxxxx | xxxxx | Xxxxxxxxxx | Xxxxxxxxx | Xxxxxxx | xxxxxxxx | Xxxxxxx | Xxxxxxxxxx | Xxxxxxxxx | xxxxxxxxxx | xxxxxxx | Xxxxxxxxx | xxxxxxxxx | xxxxxxxx | xxxxxxxxx | xxxxx | Xxxxx |
| 7 | Xxxxxxxx | xxxxxxxxxx | Xxxxxx | Xxxxxxxxx | Xxxxxxxxxx | xxxxxxx | Xxxxxxxxxx | Xxxxxxxxx | Xxxxxx | xxxxxxxx | xxxxxxxxxx | xxxxxxxx | Xxxxx | xxxxxxxx | xxxxxxxxxx | xxxxxxxx | Xxxxx | xxxxxxxx | xxxxxx | Xxxxxxxx | xxxxxxxxxx | Xxxxxxx | xxxxxxxxxx | Xxxxxxx | Xxxxxxxxx | xxxxxx | Xxxxx | Xxxxx | Xxxxxx | Xxxxxxxxx | Xxxxxxxxx | xxxxx | Xxxxx | Xxxxxxxxxx | Xxxxxxx | Xxxxxxxxxx | Xxxxxxxx | xxxxxxx | xxxxxxxx | Xxxxxx | Xxxxxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxxx | Xxxxxxx | xxxxxxxxxx | Xxxxxxx | Xxxxxxxxxx | xxxxx | xxxxxxx | xxxxxxxxx | xxxxxxxxx | xxxxxx | xxxxxx | Xxxxxxxxxx |
| 8 | xxxxxxxxxx | xxxxxxxxx | Xxxxxx | xxxxxxxxxx | Xxxxxxx | xxxxxxxxx | xxxxxxx | Xxxxxxxx | Xxxxxxxx | Xxxxxxx | xxxxxx | xxxxx | xxxxx | Xxxxxxxxx | xxxxx | Xxxxx | Xxxxxx | xxxxxxxxxx | Xxxxxxxx | Xxxxxxxx | Xxxxxxxxx | Xxxxxxxxxx | xxxxxx | Xxxxx | Xxxxxxxx | xxxxxx | Xxxxx | Xxxxxx | xxxxxx | xxxxxxxx | Xxxxxxxx | Xxxxxxxxxx | xxxxxxxxxx | Xxxxx | Xxxxxxx | Xxxxxxx | Xxxxxx | Xxxxxx | xxxxxxxx | Xxxxxxxxx | Xxxxx | Xxxxxxx | xxxxxxxxx | Xxxxxxxxx | xxxxxxx | Xxxxxxxx | Xxxxxxxxxx | xxxxxx | xxxxxxxxxx | xxxxxx | xxxxxx | Xxxxxxxxxx | xxxxxxx | Xxxxxxxxxx | xxxxx |
| 9 | Xxxxxxxxx | Xxxxxxx | Xxxxxxxxx | Xxxxx | Xxxxxxxx | xxxxxxxxx | xxxxxxxxxx | xxxxx | xxxxxxxxxx | xxxxxxx | xxxxxxxx | Xxxxx | xxxxx | xxxxxx | Xxxxxx | xxxxxxxxxx | xxxxxxxxxx | Xxxxxxxxx | xxxxxxx | Xxxxxxx | Xxxxxxxxxx | Xxxxxxxx | xxxxxx | xxxxxx | Xxxxxx | xxxxxx | xxxxx | Xxxxxxxxx | Xxxxxxxxx | Xxxxxx | Xxxxx | Xxxxxxxxx | Xxxxxx | Xxxxxx | xxxxxx | xxxxx | xxxxxxx | xxxxxxxxxx | xxxxxx | Xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxx | xxxxxxx | xxxxxxx | Xxxxxxxxxx | Xxxxx | xxxxxxx | Xxxxxxxx | Xxxxxx | xxxxxxxxxx | Xxxxx | Xxxxxxx | xxxxx | xxxxxx |
| 10 | xxxxxx | Xxxxxxxx | xxxxxxx | Xxxxxx | xxxxxxxxxx | Xxxxxxx | xxxxxxxxx | Xxxxxx | xxxxxxxxxx | xxxxxxxx | xxxxxxxxxx | Xxxxx | Xxxxxx | Xxxxxx | xxxxxx | Xxxxxxxx | Xxxxx | xxxxx | Xxxxxxxxxx | xxxxxx | xxxxx | xxxxxxx | xxxxx | Xxxxxxx | xxxxxxxxxx | Xxxxxxx | xxxxxxxxxx | xxxxxxxxxx | xxxxxxx | xxxxxxx | xxxxxxxxxx | Xxxxxxxxxx | Xxxxxx | xxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxxx | Xxxxxxx | Xxxxxx | xxxxxxxx | xxxxx | Xxxxxxxxxx | Xxxxx | xxxxxxx | xxxxxxxx | xxxxxxxx | Xxxxxxxx | xxxxxxx | xxxxxx | Xxxxxxxx | xxxxxxx | Xxxxxxxxxx | xxxxxxxx | xxxxxxxx | xxxxxx |
| ... | Xxxxxxxx | xxxxx | Xxxxx | Xxxxxxxxx | xxxxxxxxx | xxxxxxxxxx | xxxxxxxxx | xxxxxxx | Xxxxxxxx | Xxxxx | Xxxxxxxx | Xxxxxxxxx | xxxxxxxxxx | Xxxxxx | xxxxxxxxx | Xxxxxx | Xxxxxxxxxx | Xxxxxx | xxxxxxxx | xxxxxx | xxxxxxxxxx | Xxxxxxx | xxxxxxxxxx | Xxxxxx | Xxxxxx | Xxxxxxxxxx | xxxxxxxxxx | Xxxxxxxxx | xxxxxxxx | xxxxxxx | xxxxx | Xxxxxxx | xxxxxxxxx | Xxxxxxx | xxxxxxxx | xxxxxxxxxx | xxxxxxxxx | xxxxxxxx | xxxxxxxxx | Xxxxx | xxxxx | xxxxxxx | xxxxxxxx | xxxxxx | xxxxxxx | Xxxxx | Xxxxxxxxx | Xxxxxxx | Xxxxxxx | Xxxxxxxx | xxxxxxx | xxxxxxxxx | Xxxxxxxx | xxxxxxxxx | xxxxxxx |
Volume
1K
leads / month (approx)
Data Quality
100%
match rate
Avail. Formats
.json, .csv, and .xls
File
Coverage
249
Countries
History
1
months
Data Dictionary
[Sample] Worldwide Funding data Sheet 24th to 30th May.csv
| Attribute | Type | Example | Mapping |
|---|---|---|---|
| String | Fashinza | Organization Name | |
|
Last Leadership Hiring Date
|
|||
|
SEMrush - Monthly Visits
|
String | 45,131 | |
|
Founded Date
|
String | 01-01-2020 | |
|
Operating Status
|
String | Active | |
|
Company Type
|
|||
|
IPO Status
|
String | Private | |
| String | 101-250 | Company Employee Count | |
|
Contact Job Departments
|
String | Engineering, Management, Operations, Product, Sales | |
|
Actively Hiring
|
|||
|
Last Funding Date
|
|||
|
Estimated Revenue Range
|
String | $1M to $10M | |
|
Last Funding Type
|
String | Series B | |
|
Industries
|
String | B2B, Fashion, Manufacturing, Marketplace | |
|
Headquarters Location
|
String | Gurgaon, Haryana, India | |
|
Description
|
String | Fashinza is a B2B manufacturing marketplace that solves a... | |
|
CB Rank (Company)
|
Integer | 22 | |
|
Headquarters Regions
|
String | Asia-Pacific (APAC) | |
| String | fashinza.com | Website | |
|
LinkedIn
|
String | linkedin.com/company/fashinza | |
| String | Contact Email Address | ||
| String | Phone Number | ||
|
Last Funding Amount
|
String | $60,000,000.00 | |
|
Last Funding Amount
|
String | 6,00,00,000.00 | |
| String | USD | Currency Code | |
|
Last Funding Amount Currency (in USD)
|
String | $60,000,000.00 | |
|
Last Funding Amount Currency (in USD)
|
String | 6,00,00,000.00 | |
|
Funding Status
|
String | Early Stage Venture | |
|
Number of Funding Rounds
|
Integer | 5 | |
|
Last Equity Funding Amount
|
String | $60,000,000.00 | |
|
Last Equity Funding Amount
|
String | 6,00,00,000.00 | |
| String | USD | Currency Code | |
|
Last Equity Funding Amount Currency (in USD)
|
String | $60,000,000.00 | |
|
Last Equity Funding Amount Currency (in USD)
|
String | 6,00,00,000.00 | |
|
Last Equity Funding Type
|
String | Series B | |
|
Total Equity Funding Amount
|
String | $82,591,326.00 | |
|
Total Equity Funding Amount
|
String | 8,25,91,326.00 | |
| String | USD | Currency Code | |
|
Total Equity Funding Amount Currency (in USD)
|
String | $82,591,326.00 | |
|
Total Equity Funding Amount Currency (in USD)
|
String | 8,25,91,326.00 | |
|
Total Funding Amount
|
String | $123,000,000.00 | |
|
Total Funding Amount
|
String | 12,30,00,000.00 | |
| String | USD | Currency Code | |
|
Total Funding Amount Currency (in USD)
|
String | $123,000,000.00 | |
|
Total Funding Amount Currency (in USD)
|
String | 12,30,00,000.00 | |
|
Founders
|
String | Abhishek Sharma, Jamil Ahmad, Pawan Gupta | |
|
EMail ID of founder (s)
|
String | [email protected] | |
|
Email ID of CEO
|
|||
|
Email ID of senior most sales decision maker
|
|||
|
Email ID of senior most marketing decision maker
|
|||
|
Email ID of CTO
|
|||
|
Phone no. *(direct) of CEO
|
|||
|
Phone no. *(direct) of senior most sales head
|
|||
|
Phone no. *(direct) of CMO
|
|||
|
Phone no. *(direct) of CTO
|
Product Attributes
| Attribute | Type | Example | Mapping |
|---|---|---|---|
| String | Workato | Company Name | |
| String | workato.com | Company Website | |
|
Series
|
Series E | ||
|
Deal value (USD)
|
200M | ||
|
New company valuation
|
5.7B | ||
|
Funding by
|
Battery ventures | ||
|
Funding date
|
11/12/21 | ||
| String | California | State Name | |
| String | USA | Country Name | |
|
industry
|
Computer Software | ||
|
Description
|
Detailed description |
Description
Worldwide funding database (all VC, angel, and PE funding across the world).
We get information from various sources regarding all the funding that took place in the last 24 hours.
The data is sent as a daily feed via Google Drive or S3 bucket and updated daily.
Sample is attached below.
𝗪𝗼𝗿𝗹𝗱𝘄𝗶𝗱𝗲 𝗳𝘂𝗻𝗱𝗶𝗻𝗴 𝗱𝗮𝘁𝗮𝗯𝗮𝘀𝗲 (𝗮𝗹𝗹 𝗩𝗖, 𝗮𝗻𝗴𝗲𝗹, 𝗮𝗻𝗱 𝗣𝗘 𝗳𝘂𝗻𝗱𝗶𝗻𝗴 𝗮𝗰𝗿𝗼𝘀𝘀 𝘁𝗵𝗲 𝘄𝗼𝗿𝗹𝗱):
World Wide Funding data feed on BizProspex provides financial / funding data pertaining to funding round, acquisition, and investor details that is ideal for market research, sales outreach, and data analysis.
________________________________________________________________________________
𝐊𝐞𝐲 𝐀𝐭𝐭𝐫𝐢𝐛𝐮𝐭𝐞𝐬 :
This is a daily data feed that contains at least 5 main attributes:
Funding Date
Acquired By (or funded by)
Acquisition Price (or funded amount)
Investor name
Investment Year
Company Name
Location
Website
Valuation
________________________________________________________________________________
𝐔𝐬𝐞 𝐜𝐚𝐬𝐞:
This data feed is useful for enterprises, government, data analytics firms for screening potential investors, analytics and to better understand the market landscape.
________________________________________________________________________________
Feel free to request a sample, or visit our website to know more.
Thank you.
Geography
Africa
(58)
Algeria
Angola
Benin
Botswana
Burkina Faso
Burundi
Cabo Verde
Cameroon
Central African Republic
Chad
Comoros
Congo
Congo (Democratic Republic of the)
Côte d'Ivoire
Djibouti
Egypt
Equatorial Guinea
Eritrea
Ethiopia
Gabon
Gambia
Ghana
Guinea
Guinea-Bissau
Kenya
Lesotho
Liberia
Libya
Madagascar
Malawi
Mali
Mauritania
Mauritius
Mayotte
Morocco
Mozambique
Namibia
Niger
Nigeria
Rwanda
Réunion
Saint Helena, Ascension and Tristan da Cunha
Sao Tome and Principe
Senegal
Seychelles
Sierra Leone
Somalia
South Africa
South Sudan
Sudan
Swaziland
Tanzania, United Republic of
Togo
Tunisia
Uganda
Western Sahara
Zambia
Zimbabwe
Asia
(51)
Afghanistan
Armenia
Azerbaijan
Bahrain
Bangladesh
Bhutan
Brunei Darussalam
Cambodia
China
Cyprus
Georgia
Hong Kong
India
Indonesia
Iran (Islamic Republic of)
Iraq
Israel
Japan
Jordan
Kazakhstan
Korea (Democratic People's Republic of)
Korea (Republic of)
Kuwait
Kyrgyzstan
Lao People's Democratic Republic
Lebanon
Macao
Malaysia
Maldives
Mongolia
Myanmar
Nepal
Oman
Pakistan
Palestine, State of
Philippines
Qatar
Saudi Arabia
Singapore
Sri Lanka
Syrian Arab Republic
Taiwan
Tajikistan
Thailand
Timor-Leste
Turkey
Turkmenistan
United Arab Emirates
Uzbekistan
Vietnam
Yemen
Europe
(51)
Albania
Andorra
Austria
Belarus
Belgium
Bosnia and Herzegovina
Bulgaria
Croatia
Czech Republic
Denmark
Estonia
Faroe Islands
Finland
France
Germany
Gibraltar
Greece
Guernsey
Holy See
Hungary
Iceland
Ireland
Isle of Man
Italy
Jersey
Latvia
Liechtenstein
Lithuania
Luxembourg
Macedonia (the former Yugoslav Republic of)
Malta
Moldova (Republic of)
Monaco
Montenegro
Netherlands
Norway
Poland
Portugal
Romania
Russian Federation
San Marino
Serbia
Slovakia
Slovenia
Spain
Svalbard and Jan Mayen
Sweden
Switzerland
Ukraine
United Kingdom
Åland Islands
North America
(13)
Belize
Bermuda
Canada
Costa Rica
El Salvador
Greenland
Guatemala
Honduras
Mexico
Nicaragua
Panama
Saint Pierre and Miquelon
United States of America
Oceania
(25)
American Samoa
Australia
Cook Islands
Fiji
French Polynesia
Guam
Kiribati
Marshall Islands
Micronesia (Federated States of)
Nauru
New Caledonia
New Zealand
Niue
Norfolk Island
Northern Mariana Islands
Palau
Papua New Guinea
Pitcairn
Samoa
Solomon Islands
Tokelau
Tonga
Tuvalu
Vanuatu
Wallis and Futuna
Other
(9)
Antarctica
Bouvet Island
British Indian Ocean Territory
Christmas Island
Cocos (Keeling) Islands
French Southern Territories
Heard Island and McDonald Islands
South Georgia and the South Sandwich Islands
United States Minor Outlying Islands
South America
(42)
Anguilla
Antigua and Barbuda
Argentina
Aruba
Bahamas
Barbados
Bolivia (Plurinational State of)
Bonaire, Sint Eustatius and Saba
Brazil
Cayman Islands
Chile
Colombia
Cuba
Curaçao
Dominica
Dominican Republic
Ecuador
Falkland Islands (Malvinas)
French Guiana
Grenada
Guadeloupe
Guyana
Haiti
Jamaica
Martinique
Montserrat
Paraguay
Peru
Puerto Rico
Saint Barthélemy
Saint Kitts and Nevis
Saint Lucia
Saint Martin (French part)
Saint Vincent and the Grenadines
Sint Maarten (Dutch part)
Suriname
Trinidad and Tobago
Turks and Caicos Islands
Uruguay
Venezuela (Bolivarian Republic of)
Virgin Islands (British)
Virgin Islands (U.S.)
History
1 months of historical data
Volume
| 1,000 | leads / month (approx) |
Pricing
Free sample available
10% discount if you buy via Datarade
| License | Starts at |
|---|---|
| One-off purchase | Not available |
| Monthly License |
$600$540 / month |
| Yearly License |
$3,500$3,150 / year |
| Usage-based | Not available |
Suitable Company Sizes
Small Business
Medium-sized Business
Enterprise
Quality
Self-reported by the provider
match rate
Delivery
Methods
S3 Bucket
Email
Frequency
daily
weekly
real-time
on-demand
Format
.json
.csv
.xls
.sql
Use Cases
Categories
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Frequently asked questions
What is Worldwide funding data feed (all VC, angel, and PE funding across the world)?
Worldwide funding database (all VC, angel, and PE funding across the world). We get information from various sources regarding all the funding that took place in the last 24 hours. The data is sent as a daily feed via Google Drive or S3 bucket and updated daily. Sample is attached below.
What is Worldwide funding data feed (all VC, angel, and PE funding across the world) used for?
This product has 5 key use cases. BizProspex recommends using the data for Ideal Customer Profile Development, Investment Management, Analytics, Fundraising, and funding round off. Global businesses and organizations buy B2B Intent Data from BizProspex to fuel their analytics and enrichment.
Who can use Worldwide funding data feed (all VC, angel, and PE funding across the world)?
This product is best suited if you’re a Medium-sized Business, Enterprise, or Small Business looking for B2B Intent Data. Get in touch with BizProspex to see what their data can do for your business and find out which integrations they provide.
How far back does the data in Worldwide funding data feed (all VC, angel, and PE funding across the world) go?
This Tabular Data has 1 months of historical coverage. It can be delivered on a daily, weekly, real-time, and on-demand basis.
Which countries does Worldwide funding data feed (all VC, angel, and PE funding across the world) cover?
This product includes data covering 249 countries like USA, China, Japan, Germany, and India. BizProspex is headquartered in United States of America.
How much does Worldwide funding data feed (all VC, angel, and PE funding across the world) cost?
Pricing for Worldwide funding data feed (all VC, angel, and PE funding across the world) starts at USD600 per month. BizProspex offers a 10% discount when you buy data from them through Datarade. Connect with BizProspex to get a quote and arrange custom pricing models based on your data requirements.
How can I get Worldwide funding data feed (all VC, angel, and PE funding across the world)?
Businesses can buy B2B Intent Data from BizProspex and get the data via S3 Bucket and Email. Depending on your data requirements and subscription budget, BizProspex can deliver this product in .json, .csv, .xls, and .sql format.
What is the data quality of Worldwide funding data feed (all VC, angel, and PE funding across the world)?
BizProspex has reported that this product has the following quality and accuracy assurances: 100% match rate. You can compare and assess the data quality of BizProspex using Datarade’s data marketplace. BizProspex has received 2 reviews from clients. BizProspex appears on selected Datarade top lists ranking the best data providers, including Who’s New on Datarade? January Edition.
What are similar products to Worldwide funding data feed (all VC, angel, and PE funding across the world)?
This Tabular Data has 3 related products. These alternatives include FrescoData Business People Data (B2B Contacts) ⎢200M+ Contacts Worldwide, IVC Industry Analytics Premium Service, and Coresignal Owler + 4 More Sources / Company Funding Data / Global / 5 Sources / 14M Total Records / Updated Monthly. You can compare the best B2B Intent Data providers and products via Datarade’s data marketplace and get the right data for your use case.
