About DigiU
digital, digital transformation, automation, ai, machine learning, talent hire, app development, utilities, energy, generative ai, business consulting & services, project management, retail, sustainable practices, customer engagement, data-driven insights, energy data analytics, predictive analytics, cloud services, cost efficiency
DigiU's Tech Stack
Other
Marketing
Frontend
Analytics
Backend
Decision Makers at DigiU
1 contactAleks Vuckovic
Chief Technology Officer
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DigiU's Position in the StackWho Database
- • DigiU is 1 of 29,865 management consulting companies tracked in StackWho.
- • 29,825 management consulting companies in our database have verified decision-maker emails (100% of the cohort).
- • 7,145 companies in Victoria are in the StackWho database.
- • 10,336 management consulting companies are in the 11-50 employee range (same size as DigiU).
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 DigiU use?
DigiU uses Outlook, Microsoft Office 365, Google Cloud Hosting, Hubspot, Mobile Friendly, Google Dynamic Remarketing, and 6 more technologies. This data is sourced from StackWho's technology detection engine.
How do I contact the decision makers at DigiU?
StackWho has verified email addresses for 1 decision maker at DigiU. Pro members can access direct emails for the CEO, CTO, VP of Engineering, and other key contacts. Use StackWho to reach DigiU directly for sales, recruiting, or partnerships.
What industry is DigiU in?
DigiU operates in the management consulting industry, headquartered in Melbourne, Victoria, Australia. StackWho tracks technology stacks and decision maker contacts for companies across all industries.
Can I export DigiU's contact data?
Yes. StackWho Pro members can export decision maker contact data for DigiU and similar companies to CSV. Use the export feature to build targeted prospect lists segmented by technology stack, industry, or location.
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