PQ Labs

PQ Labs

multi-touch-screen.com

computer hardware

San Jose, California, United States
11-50 employees

About PQ Labs

computer hardware manufacturing

PQ Labs's Tech Stack

Backend

Other

AI/ML

Decision Makers at PQ Labs

1 contact

Frank Lu

CEO

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4 technologies detected · 1 decision maker · Emails available

Sales Outreach Angle

PQ Labs uses Nginx, Mobile Friendly, Remote among other technologies. Use StackWho to identify the right decision-maker email for targeted sales outreach, recruiting, or partnership development.

PQ Labs's Position in the StackWho Database

  • PQ Labs is 1 of 1,107 computer hardware companies tracked in StackWho.
  • 1,096 computer hardware companies in our database have verified decision-maker emails (99% of the cohort).
  • 53,147 companies in California are in the StackWho database.
  • 494 computer hardware companies are in the 11-50 employee range (same size as PQ Labs).

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 PQ Labs use?

PQ Labs uses Nginx, Mobile Friendly, Remote, AI. This data is sourced from StackWho's technology detection engine.

How do I contact the decision makers at PQ Labs?

StackWho has verified email addresses for 1 decision maker at PQ Labs. Pro members can access direct emails for the CEO, CTO, VP of Engineering, and other key contacts. Use StackWho to reach PQ Labs directly for sales, recruiting, or partnerships.

What industry is PQ Labs in?

PQ Labs operates in the computer hardware industry, headquartered in San Jose, California, United States. StackWho tracks technology stacks and decision maker contacts for companies across all industries.

Can I export PQ Labs's contact data?

Yes. StackWho Pro members can export decision maker contact data for PQ Labs and similar companies to CSV. Use the export feature to build targeted prospect lists segmented by technology stack, industry, or location.