Genial Earth

Genial Earth

genialearth.com

Toronto, Ontario, Canada
1-10 employees

About Genial Earth

project management, regulatory intelligence, regulatory intelligence platform, management consulting, regulatory environment tracking, regulations management, regulatory policy feeds, government regulations, services, other scientific and technical consulting services, policy feeds, custom policy reports, custom project view, consulting, project compliance, project delivery support, predictive analytics, project-specific regulation analysis, multi-level government regulation, regulatory complian

Decision Makers at Genial Earth

1 contact

Spencer McNee

Co-Founder

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4 technologies detected · 1 decision maker · Emails available

Sales Outreach Angle

Genial Earth uses Outlook, Microsoft Office 365, Squarespace ECommerce among other technologies. Use StackWho to identify the right decision-maker email for targeted sales outreach, recruiting, or partnership development.

Genial Earth's Position in the StackWho Database

  • 14,579 companies in Ontario are in the StackWho database.

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 Genial Earth use?

Genial Earth uses Outlook, Microsoft Office 365, Squarespace ECommerce, Mobile Friendly. This data is sourced from StackWho's technology detection engine.

How do I contact the decision makers at Genial Earth?

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

Can I export Genial Earth's contact data?

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