About Enodo
multifamily, predictive analytics, commercial real estate, machine learning, technology, technology company, real estate, saas, real estate technology, enterprise software, software, information technology, finance, digital real estate solutions, diversity and inclusion, data analytics, industrial, property financing, student housing loans, affordable housing portfolios
Enodo's Tech Stack
Frontend
Marketing
Analytics
AI/ML
Decision Makers at Enodo
2 contactsRenjie Song
VP of Machine Learning Engineering
Jonathan Montero
Engineering Manager
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Enodo's Position in the StackWho Database
- • Enodo is 1 of 9,334 real estate companies tracked in StackWho.
- • 9,307 real estate companies in our database have verified decision-maker emails (100% of the cohort).
- • 11,640 companies in Illinois are in the StackWho database.
- • 162 real estate companies are in the 1001-5000 employee range (same size as Enodo).
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 Enodo use?
Enodo uses Google Frontend (Webserver), Mobile Friendly, Intercom, Bootstrap Framework, Google Tag Manager, Remote, and 1 more technologies. This data is sourced from StackWho's technology detection engine.
How do I contact the decision makers at Enodo?
StackWho has verified email addresses for 2 decision makers at Enodo. Pro members can access direct emails for the CEO, CTO, VP of Engineering, and other key contacts. Use StackWho to reach Enodo directly for sales, recruiting, or partnerships.
What industry is Enodo in?
Enodo operates in the real estate industry, headquartered in Chicago, Illinois, United States. StackWho tracks technology stacks and decision maker contacts for companies across all industries.
Can I export Enodo's contact data?
Yes. StackWho Pro members can export decision maker contact data for Enodo 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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Decision Makers
Renjie Song
VP of Machine Learning Engineering
Jonathan Montero
Engineering Manager