Mechakol Kft.

mechakol.hu

machinery

mechakol.hu

Budapest, Budapest, Hungary

1-10 employees

LinkedIn Profile

About Mechakol Kft.

design of unique machines, prototype design, product development, machinery manufacturing

Mechakol Kft.'s Tech Stack

3 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.

Mechakol Kft.'s Position in the StackWho Database

• Mechakol Kft. is 1 of 10,129 machinery companies tracked in StackWho.
• 10,036 machinery companies in our database have verified decision-maker emails (99% of the cohort).
• 1,638 companies in Budapest are in the StackWho database.
• 2,696 machinery companies are in the 1-10 employee range (same size as Mechakol Kft.).

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

Frequently Asked Questions

What technology does Mechakol Kft. use?

Mechakol Kft. uses Amazon AWS, Google Tag Manager, Mobile Friendly. This data is sourced from StackWho's technology detection engine.

How do I contact the decision makers at Mechakol Kft.?

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

What industry is Mechakol Kft. in?

Mechakol Kft. operates in the machinery industry, headquartered in Budapest, Budapest, Hungary. StackWho tracks technology stacks and decision maker contacts for companies across all industries.

Can I export Mechakol Kft.'s contact data?

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