Jeffrey Beane Engineering PLLC
Milwaukee, Wisconsin
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About Jeffrey Beane Engineering PLLC
Jeffrey Beane Engineering PLLC is a company reporting $0M-$1M in annual revenue, classified under Engineering Services, based in Milwaukee, Wisconsin, United States and employing 11-20 people.
Its primary NAICS classification is 541330 (Engineering Services). Jeffrey Beane Engineering PLLC is one of 651,680 companies listed in Wisconsin.
Business Contact Information
- Address
- 2961 N Downer Ave, Milwaukee, Wisconsin, 53211, United States
Industry & Classification
NAICS Codes
- 54Professional, Scientific, and Technical Services
- 5413Architectural, Engineering, and Related Services
- 541330Engineering Services
SIC Codes
- 87Engineering, Accounting, Research, Management, And Related Services
- 871Engineering, Architectural, And Surveying
- 8711Engineering Services
Company Details
- Employees
- 20 (11-20)
- Annual Revenue
- $654,000 ($0M-$1M)
Jeffrey Beane Engineering PLLC: frequently asked questions
What does Jeffrey Beane Engineering PLLC do?
Jeffrey Beane Engineering PLLC is a company reporting $0M-$1M in annual revenue, classified under Engineering Services, based in Milwaukee, Wisconsin, United States and employing 11-20 people.
Where is Jeffrey Beane Engineering PLLC located?
Jeffrey Beane Engineering PLLC is headquartered at 2961 N Downer Ave, Milwaukee, Wisconsin, 53211, United States.
How many employees does Jeffrey Beane Engineering PLLC have?
Jeffrey Beane Engineering PLLC has about 20 employees (the 11-20 range).
What is Jeffrey Beane Engineering PLLC's annual revenue?
Jeffrey Beane Engineering PLLC's annual revenue is estimated at $654,000 (the $0M-$1M range).
What industry is Jeffrey Beane Engineering PLLC in?
Jeffrey Beane Engineering PLLC's primary NAICS code is 541330 (Engineering Services).
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Manufacturing sales in Wisconsin, 2026
In Wisconsin, Factur's 2026 study counted 30 manufacturing quotes worth $957K and 6 purchase orders over 12 months: 20% of quotes became orders, against 21% nationally. See the Wisconsin data.
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