Maia Wellness

Maia Wellness

maiawellness.com

professional training & coaching

Sydney, New South Wales, Australia
1-10 employees

Maia Wellness's Tech Stack

4 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.

Maia Wellness's Position in the StackWho Database

  • Maia Wellness is 1 of 7,581 professional training & coaching companies tracked in StackWho.
  • 7,578 professional training & coaching companies in our database have verified decision-maker emails (100% of the cohort).
  • 8,986 companies in New South Wales are in the StackWho database.
  • 5,322 professional training & coaching companies are in the 1-10 employee range (same size as Maia Wellness).

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 Maia Wellness use?

Maia Wellness uses Amazon AWS, Remote, Circle, Render. This data is sourced from StackWho's technology detection engine.

How do I contact the decision makers at Maia Wellness?

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

What industry is Maia Wellness in?

Maia Wellness operates in the professional training & coaching industry, headquartered in Sydney, New South Wales, Australia. StackWho tracks technology stacks and decision maker contacts for companies across all industries.

Can I export Maia Wellness's contact data?

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