Convergent Risks

Business Contact

Alex Vaughan

Information Technology and Services
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Contact Information

Convergent Risks
15233 Ventura Boulevard # 500
Sherman Oaks, Los Angeles, 91403
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Business Description

Convergent Risks is located in Sherman Oaks, Los Angeles, and was founded in 2018. Annual sales for Convergent Risks are around 82,290.
Revenue: 82,290
Founded: 2018

Questions & Answers

Q1

How long has Convergent Risks been in business?

Convergent Risks has been in business for around 8 years.
Q2

What is the phone number for Convergent Risks?

The phone number for Convergent Risks is (818) 452-9544.
Q3

Where is Convergent Risks located?

Convergent Risks is located at 15233 Ventura Boulevard # 500, Sherman Oaks, Los Angeles, 91403.
Q4

Is there a primary contact for Convergent Risks?

Alex Vaughan (Information Technology and Services) at Convergent Risks. You can contact Alex Vaughan at email address alex.vaughan@convergentrisks.com.
Q5

Are there other contacts associated with Convergent Risks?

We have 6 additional contact(s) for Convergent Risks. They include: Pritam Parab, Nik Savchenko, Stephanie Iyayi, Mathew Gilliat- Smith, Tony Ramsay & Christopher Johnson.
Q6

What is the web address (URL) for Convergent Risks?

The website for Convergent Risks is convergentrisks.com.
Q7

What are the annual sales for Convergent Risks?

Convergent Risks has annual sales of approximately 82,290.
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Additional Businesses at this Address

15233 Ventura Boulevard # 500 Sherman Oaks, Los Angeles, 91403
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Businesses in Zip Code 91403

Businesses in 91403: 12,439
Population: 22,883
91403 Business Density Heatmap

Categories

Professional Services:  23%
Medical:  17%
Shopping:  12%
Other:  48%

Price

Moderate:  49%
Inexpensive:  41%
Expensive:  7%
Very Expensive:  2%
Other:  0%

Area Codes

818:  89%
Other:  11%

Neighborhoods

Sherman Oaks:  97%
Other:  3%
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Stats and Demographics for Zip Code 91403

Race

White:  78%
Hispanic or Latino:  9%
Asian:  6%
Black Or African American:  3%
American Indian Or Alaskan Native:  0%
Other:  4%

Gender

Female:  52%
Male:  48%
Other:  0%
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