Example Company Record
Field Availability
Not all fields shown in the example record below are available by default. For a complete list of field pricing, see this table.
{
"status": 200,
"name": "people data labs",
"display_name": "People Data Labs",
"size": "51-200",
"employee_count": 96,
"linkedin_follower_count": 5526,
"id": "tnHcNHbCv8MKeLh92946LAkX6PKg",
"founded": 2015,
"inferred_revenue": "$10M-$25M",
"industry": "computer software",
"naics": null,
"sic": null,
"location": {
"name": "san francisco, california, united states",
"locality": "san francisco",
"region": "california",
"metro": "san francisco, california",
"country": "united states",
"continent": "north america",
"street_address": "455 market street",
"address_line_2": "suite 1670",
"postal_code": "94105",
"geo": "37.77,-122.41"
},
"linkedin_id": "18170482",
"linkedin_url": "linkedin.com/company/peopledatalabs",
"linkedin_slug": "peopledatalabs",
"facebook_url": "facebook.com/peopledatalabs",
"twitter_url": "twitter.com/peopledatalabs",
"profiles": [
"linkedin.com/company/peopledatalabs",
"linkedin.com/company/18170482",
"facebook.com/peopledatalabs",
"twitter.com/peopledatalabs",
"crunchbase.com/organization/talentiq"
],
"website": "peopledatalabs.com",
"ticker": null,
"gics_sector": null,
"mic_exchange": null,
"type": "private",
"summary": "people data labs builds b2b data for developers, engineers, and data scientists.\n\nwe empower our clients to build and scale innovative data-driven products using 2.5 billion unique, always-accurate b2b records. every day, our clients use our data to build person profiles, enrich person records, power predictive modeling, drive artificial intelligence, and build new tools to make their teams more efficient, productive, and successful \n\nwe’re proud to be the preferred data partner to the data science and engineering teams building the next generation of data-driven products and services. people data labs is the single source of truth in b2b data serving enterprise and startup clients across a range of data-enabled businesses.",
"tags": [
"artificial intelligence",
"b2b data",
"data and analytics",
"ip data",
"people data",
"machine learning",
"data science",
"analytics",
"database",
"data"
],
"headline": "The single source of truth for B2B data",
"alternative_names": [],
"alternative_domains": [],
"affiliated_profiles": [],
"ultimate_parent": null,
"immediate_parent": null,
"direct_subsidiaries": [],
"all_subsidiaries": [],
"total_funding_raised": 55250000.0,
"latest_funding_stage": "series_b",
"last_funding_date": "2021-11-16",
"number_funding_rounds": 7,
"funding_stages": [
"seed",
"series_b",
"series_a"
],
"funding_details": [
{
"funding_round_date": "2018-10-10",
"funding_raised": 7000000.0,
"funding_currency": "usd",
"funding_type": "series_a",
"investing_companies": [
"ruzth1fTLZfE1BcRnLBN3w7GOTt0",
"TAI8UBYpR1Q1e1bACnB2kQbCpQkP",
"L6n1zCT6nWX1TwUyBhqO7gSXYSoj",
"hs7cqJm3HyCrWUC03G8lCArYtRMg"
],
"investing_individuals": []
},
{
"funding_round_date": "2021-11-16",
"funding_raised": 45000000.0,
"funding_currency": "usd",
"funding_type": "series_b",
"investing_companies": [
"s5O9wCcVnokBzzvX4TQwEwg07z1L",
"UHKkwjzET0f4c2FLBt5BOgB7eZH9"
],
"investing_individuals": [
"Guillaume \"G\" Cabane"
]
},
{
"funding_round_date": "2017-04-26",
"funding_raised": null,
"funding_currency": null,
"funding_type": "series_a",
"investing_companies": [
"ruzth1fTLZfE1BcRnLBN3w7GOTt0"
],
"investing_individuals": []
},
{
"funding_round_date": "2015-06-12",
"funding_raised": 275000.0,
"funding_currency": "usd",
"funding_type": "seed",
"investing_companies": [
"TAI8UBYpR1Q1e1bACnB2kQbCpQkP"
],
"investing_individuals": []
},
{
"funding_round_date": "2016-02-10",
"funding_raised": 775000.0,
"funding_currency": "usd",
"funding_type": "seed",
"investing_companies": [
"nEX9IALiabjPItjbPc1PIwwL2FOZ",
"TAI8UBYpR1Q1e1bACnB2kQbCpQkP"
],
"investing_individuals": []
},
{
"funding_round_date": "2016-08-01",
"funding_raised": 2200000.0,
"funding_currency": "usd",
"funding_type": "seed",
"investing_companies": [
"OYrWqDBnva4WrUB5SFmAFgabxMHB",
"gZ6aHEllQ2gTPntv8JL8fw7zmzJK",
"y3mqhC2Cik87C5A745rUcgCLdzAO",
"euVwggNNeH1Jg9fCZ5mVOgZG8EDP",
"TAI8UBYpR1Q1e1bACnB2kQbCpQkP",
"L6n1zCT6nWX1TwUyBhqO7gSXYSoj"
],
"investing_individuals": [
"Joel Englander",
"Sandy Kory",
"Susan Kimberlin"
]
},
{
"funding_round_date": "2016-01-01",
"funding_raised": null,
"funding_currency": null,
"funding_type": "series_a",
"investing_companies": [],
"investing_individuals": [
"David J. Namdar"
]
}
],
"employee_growth_rate_12_month_by_role": {
"other_uncategorized": -0.1613,
"trades": null,
"operations": 0.0,
"customer_service": 0.0,
"legal": null,
"public_relations": null,
"real_estate": null,
"design": 1.0,
"education": null,
"media": -1.0,
"marketing": -0.3333,
"human_resources": -0.5,
"sales": -0.2381,
"health": null,
"finance": 0.0,
"engineering": -0.0976
},
"employee_growth_rate": {
"3_month": -0.03,
"6_month": -0.0762,
"12_month": -0.1565,
"24_month": -0.1849
},
"employee_churn_rate": {
"3_month": 0.1134,
"6_month": 0.2062,
"12_month": 0.3711,
"24_month": 0.8454
},
"average_employee_tenure": 1.805,
"average_tenure_by_role": {
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"design": 1.107,
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"marketing": 1.375,
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"finance": 1.875,
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"engineering": 2.227,
"human_resources": 1.393,
"media": 1.472,
"sales": 0.885,
"operations": 1.512,
"health": 0.0
},
"average_tenure_by_level": {
"entry": 0.0,
"unpaid": 0.0,
"senior": 1.647,
"director": 1.701,
"vp": 2.583,
"training": 0.417,
"manager": 1.211,
"owner": 9.167,
"partner": 0.0,
"cxo": 4.967
},
"employee_count_by_country": {
"united states": 92,
"other_uncategorized": 2,
"canada": 2
},
"top_us_employee_metros": {
"san francisco, california, united states": {
"current_headcount": 20,
"12_month_growth_rate": -0.1667
},
"new york, new york, united states": {
"current_headcount": 7,
"12_month_growth_rate": -0.125
},
"seattle, washington, united states": {
"current_headcount": 7,
"12_month_growth_rate": 0.1667
},
"denver, colorado, united states": {
"current_headcount": 6,
"12_month_growth_rate": 0.5
},
"portland, oregon, united states": {
"current_headcount": 5,
"12_month_growth_rate": -0.1667
},
"atlanta, georgia, united states": {
"current_headcount": 5,
"12_month_growth_rate": 0.6667
},
"san diego, california, united states": {
"current_headcount": 5,
"12_month_growth_rate": -0.1667
},
"los angeles, california, united states": {
"current_headcount": 4,
"12_month_growth_rate": -0.2
},
"spokane, washington, united states": {
"current_headcount": 3,
"12_month_growth_rate": -0.25
},
"cleveland, ohio, united states": {
"current_headcount": 2,
"12_month_growth_rate": -0.3333
}
},
"employee_count_by_month": {
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"2015-04": 3,
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"2018-01": 22,
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},
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},
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"dataset_version": "27.0",
"likelihood": 10
}
Updated 11 days ago