iDAL

iDAL

idal.co

apparel & fashion

London, England, United Kingdom
11-50 employees

About iDAL

online booking platform, fashion tech, fashion models, talent management, retail apparel & fashion, apparel & fashion, information technology & services

iDAL's Tech Stack

DevOps

Cloud

Backend

Decision Makers at iDAL

1 contact

Tom Gordon

Chief Technology Officer

t***@finda.co Sign up to view

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3 technologies detected · 1 decision maker · Emails available

Sales Outreach Angle

Python signals data science, ML, or automation workflows. Data platforms, MLOps tools, and cloud compute solutions are strong fits for outreach.

iDAL's Position in the StackWho Database

  • iDAL is 1 of 3,706 apparel & fashion companies tracked in StackWho.
  • 3,695 apparel & fashion companies in our database have verified decision-maker emails (100% of the cohort).
  • 47,721 companies in England are in the StackWho database.
  • 1,063 apparel & fashion companies are in the 11-50 employee range (same size as iDAL).

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 iDAL use?

iDAL uses Docker, Render, Python. This data is sourced from StackWho's technology detection engine.

How do I contact the decision makers at iDAL?

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

What industry is iDAL in?

iDAL operates in the apparel & fashion industry, headquartered in London, England, United Kingdom. StackWho tracks technology stacks and decision maker contacts for companies across all industries.

Can I export iDAL's contact data?

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