What technologies does Up n' go - Contactless Payments for Restaurants use?

Up n' go - Contactless Payments for Restaurants uses Cloudflare DNS, Gmail, Google Apps, MailChimp SPF, CloudFlare Hosting. View their full technology stack — including all 27 detected tools — on StackWho.

Who is the CEO of Up n' go - Contactless Payments for Restaurants?

Touradj Barman is the CEO at Up n' go - Contactless Payments for Restaurants. Get verified contact information on StackWho.

Where is Up n' go - Contactless Payments for Restaurants located?

Up n' go - Contactless Payments for Restaurants is based in San Diego, California, United States.

Up n' go - Contactless Payments for Restaurants

Q: Who is the Chief Technology Officer of Up n' go - Contactless Payments for Restaurants?

Scott Webber is the Chief Technology Officer at Up n' go - Contactless Payments for Restaurants. Get verified contact information on StackWho.

upngo.com

information technology & services

upngo.com

San Diego, California, United States

11-50 employees

2500000 revenue

LinkedIn Profile

About Up n' go - Contactless Payments for Restaurants

restaurant technology, mobile pay, pay at the table, emv, pci, aloha, ncr partner, secure payments, contactless payments, contactless payments for restaurants, contactless technology, qr code pay, qr codes, apple pay, venmo for restaurants, google pay, apple pay for restaurants, pay at table, ncr mobile pay, micros

Up n' go - Contactless Payments for Restaurants's Tech Stack

Decision Makers at Up n' go - Contactless Payments for Restaurants

2 contacts

Scott Webber

Chief Technology Officer

s***@upngopay.com Sign up to view

Touradj Barman

CEO

t***@upngopay.com Sign up to view

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27 technologies detected · 2 decision makers · Emails available

Sales Outreach Angle

HubSpot users typically run inbound-led sales motions. Products that integrate with HubSpot (email automation, CRM enrichment, ABM platforms) are natural fits.

Up n' go - Contactless Payments for Restaurants's Position in the StackWho Database

• Up n' go - Contactless Payments for Restaurants is 1 of 194,140 information technology & services companies tracked in StackWho.
• 193,618 information technology & services companies in our database have verified decision-maker emails (100% of the cohort).
• 53,147 companies in California are in the StackWho database.
• 74,148 information technology & services companies are in the 11-50 employee range (same size as Up n' go - Contactless Payments for Restaurants).

Technology detection from public web signals. Decision-maker contacts compiled from LinkedIn public profiles, company filings, and verified outbound testing. Methodology & sources · Updated July 2026.

Frequently Asked Questions

What technology does Up n' go - Contactless Payments for Restaurants use?

Up n' go - Contactless Payments for Restaurants uses Cloudflare DNS, Gmail, Google Apps, MailChimp SPF, CloudFlare Hosting, Google Cloud Hosting, and 21 more technologies. This data is sourced from StackWho's technology detection engine.

How do I contact the decision makers at Up n' go - Contactless Payments for Restaurants?

StackWho has verified email addresses for 2 decision makers at Up n' go - Contactless Payments for Restaurants. Pro members can access direct emails for the CEO, CTO, VP of Engineering, and other key contacts. Use StackWho to reach Up n' go - Contactless Payments for Restaurants directly for sales, recruiting, or partnerships.

What industry is Up n' go - Contactless Payments for Restaurants in?

Up n' go - Contactless Payments for Restaurants operates in the information technology & services industry, headquartered in San Diego, California, United States. StackWho tracks technology stacks and decision maker contacts for companies across all industries.

Can I export Up n' go - Contactless Payments for Restaurants's contact data?

Yes. StackWho Pro members can export decision maker contact data for Up n' go - Contactless Payments for Restaurants and similar companies to CSV. Use the export feature to build targeted prospect lists segmented by technology stack, industry, or location.