Chuo, Tokyo, Japan
51-200 employees
10630000 revenue

About Laboro.AI

ai, machine learning, deep learning, and, software development, artificial intelligence, information technology & services

Laboro.AI's Tech Stack

6 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.

Laboro.AI's Position in the StackWho Database

  • Laboro.AI 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).
  • 1,660 companies in Tokyo are in the StackWho database.
  • 13,765 information technology & services companies are in the 51-200 employee range (same size as Laboro.AI).

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

Frequently Asked Questions

What technology does Laboro.AI use?

Laboro.AI uses Route 53, Gmail, Pardot, Google Apps, Amazon AWS, AI. This data is sourced from StackWho's technology detection engine.

How do I contact the decision makers at Laboro.AI?

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

What industry is Laboro.AI in?

Laboro.AI operates in the information technology & services industry, headquartered in Chuo, Tokyo, Japan. StackWho tracks technology stacks and decision maker contacts for companies across all industries.

Can I export Laboro.AI's contact data?

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