Tensor Vision Technologies is categorized under Computer Software Development and Applications in San Francisco, CA and active since 2013.
Tensor Vision Technologies was established in 2013, and today employs 1 to 4, earning $50.000 to $99.999 per year. This is a Computer Software Development and Applications business, which does work in the BOTH market, and is classified as a Computer Software Development and Applications, under code number 541511 by the NAICS.
If you are seeking more information, feel free to contact Alex Vasilescu at the company’s single location by writing to 2000 Post St Apartment 437, San Francisco, California CA 94115 or by phoning (646) 246-5773. You can also visit this business on Facebook by going to their profile page at Facebook or on find them on Twitter.
| Business Name: | Tensor Vision Technologies |
| Contact Person: | Alex Vasilescu |
| Address: | 2000 Post St Apartment 437, San Francisco, California 94115 |
| Phone Number: | (646) 246-5773 |
| Annual Revenue (USD): | $50.000 to $99.999 |
| Founded: | 2013 |
| Location Type: | Single Location |
| Employee Number: | 1 to 4 |
| Business Type: | B2B & B2C |
| Business Category: | Computer Software Development and Applications |
| SIC Code: | 7371 |
| NAICS Code: | 541511 |
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Tensor Vision Technologies was started in 2013 to provide professional Computer Software Development and Applications under the SIC code 7371 and NAICS code 541511. 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 $50.000 to $99.999 per annum.
Feel free to contact Alex Vasilescu for inquiries that concern Tensor Vision Technologies by calling the company number (646) 246-5773, as your correspondence is most welcome. Additionally, the physical location of the single location of Tensor Vision Technologies can be found at the coordinates as well as the street address 2000 Post St Apartment 437 in San Francisco, California 94115.
For its online presence, you may visit Tensor Vision Technologies’s website at and engage with its social media outlets through on Twitter and on Facebook.