Maison ML

Maison ML

lamaisonml.com

design

Paris, Ile-de-France, France
1-10 employees

About Maison ML

design, furniture, retail, design services, interior design, d2c, apparel and fashion, doll, toy, and game manufacturing, home decor, luxury goods, b2b, b2c, fashion, apparel, clothing, luxury, brand, designer

4 technologies detected · 1 decision maker · Emails available

Sales Outreach Angle

WordPress as a CMS signals a content-driven or SMB digital presence. SEO tools, hosting solutions, and page-builder plugins are natural fits for outreach.

Maison ML's Position in the StackWho Database

  • Maison ML is 1 of 11,679 design companies tracked in StackWho.
  • 11,670 design companies in our database have verified decision-maker emails (100% of the cohort).
  • 12,711 companies in Ile-de-France are in the StackWho database.
  • 7,617 design companies are in the 1-10 employee range (same size as Maison ML).

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 Maison ML use?

Maison ML uses Cloudflare DNS, CloudFlare Hosting, WordPress.org, Mobile Friendly. This data is sourced from StackWho's technology detection engine.

How do I contact the decision makers at Maison ML?

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

What industry is Maison ML in?

Maison ML operates in the design industry, headquartered in Paris, Ile-de-France, France. StackWho tracks technology stacks and decision maker contacts for companies across all industries.

Can I export Maison ML's contact data?

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