AIVE LABS
Seoul, South Korea
1-10 employees

About AIVE LABS

crm, ai, ml, bi, and, sales, enterprise software, enterprises, computer software, information technology & services, b2b

AIVE LABS's Tech Stack

Decision Makers at AIVE LABS

1 contact

Lee Donghun

CEO

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5 technologies detected · 1 decision maker · Emails available

Sales Outreach Angle

AWS infrastructure signals engineering sophistication. This company likely evaluates cloud cost management, security tooling, observability, and developer productivity solutions.

AIVE LABS's Position in the StackWho Database

  • AIVE LABS 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).
  • 97,391 information technology & services companies are in the 1-10 employee range (same size as AIVE 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 AIVE LABS use?

AIVE LABS uses Route 53, Gmail, Google Apps, Amazon AWS, Mobile Friendly. This data is sourced from StackWho's technology detection engine.

How do I contact the decision makers at AIVE LABS?

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

What industry is AIVE LABS in?

AIVE LABS operates in the information technology & services industry, headquartered in Seoul, South Korea. StackWho tracks technology stacks and decision maker contacts for companies across all industries.

Can I export AIVE LABS's contact data?

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