Dataframe Logistics Inc is categorized under Systems Analysis and Engineering Consulting Services in Chino, CA and active since 1994.
Dataframe Logistics Inc was established in 1994, and today employs 1 to 4, earning $500.000 to $999.999 per year. This is a Systems Analysis and Engineering Consulting Services business, which does work in the B2B market, and is classified as a Systems Analysis and Engineering Consulting Services, under code number 5415120 by the NAICS.
If you are seeking more information, feel free to contact Michael Tsai, President at the company’s single location by writing to 4552 Danito Court, Chino, California CA 91710 or by phoning (909) 548-8099. You can also visit this business on Facebook by going to their profile page at Facebook or on find them on Twitter.
| Business Name: | Dataframe Logistics Inc |
| Contact Person: | Michael Tsai, President |
| Address: | 4552 Danito Court, Chino, California 91710 |
| Phone Number: | (909) 548-8099 |
| Website Address: | dataframe.com |
| Annual Revenue (USD): | $500.000 to $999.999 |
| Founded: | 1994 |
| Location Type: | Single Location |
| Employee Number: | 1 to 4 |
| Business Type: | B2B (Business to Business) |
| Business Category: | Systems Analysis and Engineering Consulting Services |
| SIC Code: | 8748 |
| NAICS Code: | 5415120 |
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Dataframe Logistics Inc was started in 1994 to provide professional Systems Analysis and Engineering Consulting Services under the SIC code 8748 and NAICS code 5415120. Since its inception, the company has gone on to take a total of 1 to 4 personnel under its employment and has achieved earnings of $500.000 to $999.999 per annum.
Feel free to contact Michael Tsai, President for inquiries that concern Dataframe Logistics Inc by calling the company number (909) 548-8099, as your correspondence is most welcome. Additionally, the physical location of the single location of Dataframe Logistics Inc can be found at the coordinates 34.009403,-117.705972 as well as the street address 4552 Danito Court in Chino, California 91710.
For its online presence, you may visit Dataframe Logistics Inc’s website at dataframe.com and engage with its social media outlets through on Twitter and on Facebook.