Danilift A/S

danilift.dk

machinery

danilift.dk

Farso, North Denmark Region, Denmark

11-50 employees

LinkedIn Profile

About Danilift A/S

industrial machinery manufacturing

Danilift A/S's Tech Stack

AI/ML

Decision Makers at Danilift A/S

1 contact

Bjarne Jensen

CTO

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4 technologies detected · 1 decision maker · Emails available

Sales Outreach Angle

Danilift A/S uses Outlook, Render, Remote among other technologies. Use StackWho to identify the right decision-maker email for targeted sales outreach, recruiting, or partnership development.

Danilift A/S's Position in the StackWho Database

• Danilift A/S 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).
• 177 companies in North Denmark Region are in the StackWho database.
• 3,966 machinery companies are in the 11-50 employee range (same size as Danilift A/S).

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 Danilift A/S use?

Danilift A/S uses Outlook, Render, Remote, AI. This data is sourced from StackWho's technology detection engine.

How do I contact the decision makers at Danilift A/S?

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

What industry is Danilift A/S in?

Danilift A/S operates in the machinery industry, headquartered in Farso, North Denmark Region, Denmark. StackWho tracks technology stacks and decision maker contacts for companies across all industries.

Can I export Danilift A/S's contact data?

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