Data Tech Labs entered the industry of Computer Programming Services in 0 and has grown to employ 1 to 4 people, generating an annual revenue of $100.000 to $499.999. The NAICS classifies this business under the code 5415110, which describes it as a Computer Programming Services. For further clarification, the SIC classifies this business under the code 7371 and described it as a Computer Programming Services. The business provides service to the BOTH market.
To acquire more information, please contact Stephan Smith, Marketing Executive by calling (503) 395-1056 during business hours. You can also write to the business’ Single Location at 2030 Ne 44th Avenue, Portland, Oregon OR 97213. You can also visit the company’s website at datatechlab.com. View this business’ social media profiles on Twitter or on Facebbok .
| Company: | Data Tech Labs |
| Representative: | Stephan Smith, Marketing Executive |
| Place of Business: | 2030 Ne 44th Avenue, Portland, OR 97213 |
| Contact Number: | (503) 395-1056 |
| Website: | datatechlab.com |
| Type of Service: | Computer Programming Services |
| SIC Number: | 7371 |
| NAICS Number: | 5415110 |
| Locality: | Single Location |
| Market Type: | B2B & B2C |
| Income/Year: | $100.000 to $499.999 |
| Laborers: | 1 to 4 |
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Data Tech Labs is a company operating from Multnomah, Oregon providing professional Computer Programming Services and relevant BOTH variables. It was founded in 0 and registered with the SIC code 7371 as Computer Programming Services, and with the NAICS code 5415110 as Computer Programming Services.
With a current employee count of 1 to 4, Data Tech Labs has gone to report making $100.000 to $499.999 per annum on its journey towards growth. This company invites you to contact its representative Stephan Smith, Marketing Executive at (503) 395-1056 for related queries, or to locate its Single Location using the coordinates 45.53777,-122.61784.
The Single Location can also be found at the street address 2030 Ne 44th Avenue in Portland, Oregon 97213 and can be engaged online through the company website at datatechlab.com, the company Twitter , and Facebook page .