DC

Diego Conte

CTO at IndesIA

CTO C-Suite
d***@indesia.org Sign up
Pro only
Madrid, Community of Madrid, Spain

Company Details

Company: IndesIA
Employees: 35
HQ Location: Madrid, Community of Madrid, Spain
Company LinkedIn: Pro only

Professional Summary

Diego Conte is CTO at IndesIA. IndesIA operates in the information technology & services industry and has 35 employees. Based in Madrid, Community of Madrid, Spain. Classified as a c-suite-level CTO leader. Their organization's technology stack includes Outlook, Google Font API, Google Tag Manager, YouTube, Google Analytics, and 4 other technologies.

Industry & Role Insights

  • CTO Rank tracks 138,833 CTO leaders with verified contact information.
  • There are 166,587 tech leaders in the information technology & services industry in our database.
  • We have verified contacts for 4 tech leaders at IndesIA.
  • 2,809 tech leaders in Community of Madrid are available in our database.
C-Suite level · CTO
Verified Mar 2, 2026

Frequently Asked Questions

How do I contact Diego Conte?

Diego Conte has a verified email address on file on CTO Rank. They work at IndesIA. Pro members can access direct email addresses, LinkedIn profiles, and phone numbers.

What company does Diego Conte work for?

Diego Conte is CTO at IndesIA, a company in the information technology & services industry with 35 employees. The company is headquartered in Madrid, Community of Madrid, Spain.

What is Diego Conte's role in technology leadership?

Diego Conte is classified as a CTO leader at the c-suite level.

What technologies does Diego Conte's organization use?

Diego Conte's organization uses a technology stack that includes Outlook, Google Font API, Google Tag Manager, YouTube, Google Analytics, Mobile Friendly. This information is useful for sales teams, recruiters, and technology vendors.

How accurate is Diego Conte's profile data?

CTO Rank verifies and refreshes profile data weekly. Diego Conte's profile includes verified contact details, company information, and technology stack data sourced from multiple public and proprietary sources.