Eduardo Mangarelli
Professor @ Universidad ORT Uruguay
Eduardo Mangarelli is a angel investor at Universidad ORT Uruguay focused on Machine Learning and Artificial Intelligence. Eduardo Mangarelli is the Chairman of the Board at Endeavor, a Dean of the Engineering School at the Universidad ORT Uruguay, an Advisor and Investor at Tryolabs, and Partner | Senior Director at Intermedia. He previously worked as the Co-Founder of Qool, Principal Software Engineer Lead at Microsoft, and former Investor and Advisor at Co-WorkLatAm. Eduardo attended the Universidad ORT Uruguay.
- Total investments:
- 3
- Last investment:
- Lead investor:
- 0%
Last updated:
For AI agents: llms.txt
Industries Eduardo Mangarelli invests in
Stages Eduardo Mangarelli invests in
Countries Eduardo Mangarelli invests in
Contacts
| Type | Contact | Validation |
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| Work email | ||
| Personal email | ||
| Work phone | ||
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| Socials |
Investment Focus
Industry
- Machine Learning 2 (67%)
- Artificial Intelligence 2 (67%)
- Natural Language Processing 2 (67%)
- SaaS 1 (33%)
- Internet 1 (33%)
Stage
- Angel 1 (33%)
- Pre-Seed 1 (33%)
- Series A 1 (33%)
Country
- Uruguay 2 (67%)
- United States 1 (33%)
Investments
| Company | Description | Round | Links |
|---|---|---|---|
gurucargo.com
|
Gurucargo is an innovative full-service “one-stop-shop” technology platform that does for cargo shipping what Expedia.com did for travel industry – create an “end-to-end” solution that simplifies the booking of sea, land and air based cargo shipping, with complete supply chain visibility at every step of the way, reducing costs in time and money,while maximizing efficiency and transparency. | $1.3M / Series A / Jul 03, 2016 | |
MonkeyLearn
|
MonkeyLearn provides a simple graphical interface where users can create customized text classification and extraction analysis by training machine learning models such as sentiment analysis, topic detection, keyword extraction, and more. MonkeyLearn can be integrated with hundreds of other applications through its direct integrations and open API.All of that without the need of roping in developers or data scientists! | Pre-Seed / Jul 11, 2014 | |
Tryolabs
|
Tryolabs helps companies build custom Machine Learning powered solutions to improve their KPIs. Their expertise includes Deep Learning, Computer Vision and NLP technologies to solve complex problems, tailored to individual business cases.Tryolabs' clients are mainly midsize companies based in the US, seeking support in the strategic analysisand the implementation of custom cutting-edge solutions.Tryolabs was founded in 2010 and is headquartered in Montevideo, Uruguay with an office in San Francisco, California. | Angel / Nov 01, 2012 |
Co-Investors
About Universidad ORT Uruguay
Universidad ORT Uruguay Contacts
| Name | Phone | Socials | |
|---|---|---|---|
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Eduardo Mangarelli
Professor
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FAQ
What does Eduardo Mangarelli invest in?
Eduardo Mangarelli invests primarily in Machine Learning, Artificial Intelligence and Natural Language Processing startups, most often at Angel and Pre-Seed stage. Most of the 3 investments tracked by Shizune back companies in Uruguay. The Investment Focus section breaks down every industry, stage and country in the portfolio.
How do I contact Eduardo Mangarelli?
Public channels for Eduardo Mangarelli include LinkedIn, X (Twitter) and the website linked on this profile. For a verified work email and phone number, create a free Shizune account — contact data is searched across 20+ sources and validated before delivery, so your outreach lands in the right inbox.
When did Eduardo Mangarelli last invest?
The most recent investment recorded for Eduardo Mangarelli closed in Jul 2016. Shizune tracks 3 investments in total for this profile, including round sizes, stages and portfolio companies, all sourced from confirmed public funding rounds and refreshed monthly.
Is Shizune's investor data accurate?
Yes — every stat on this profile is calculated from confirmed public funding rounds monitored across hundreds of sources since 2020. This profile was last refreshed in Sep 2026 and is updated monthly. Spotted something off? Use the “Suggest an edit” link near the top of the page.
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