Mark Gorenberg
Managing Director at Zetta Venture Partners; Chair of MIT Board of Trustees
United States
Invests in
Stages:
Sectors:
Locations:
Min Investment:
$100,000.00Max Investment:
$1,500,000.00Target Investment:
$800,000.00
Education
- SU
- Uo
Lists including Mark
Investments
DataCebo
Total Funding: $9M
Pimloc
Total Funding: $8M
EnsoData
Total Funding: $31M
Rever
Total Funding: $4M
Falkonry
Total Funding: $11M
Domino Data Lab
Total Funding: $220M
InsideSales
Total Funding: $250M
Teem by iOFFICE
Total Funding: $23M
OptiMine Software
Total Funding: $16M
Domo
Total Funding: $580M
Atria Systems
Total Funding: $170M
Pixlee TurnTo
Total Funding: $2M
6connect
Total Funding: $3M
Crowd Factory
Total Funding: $13M
Infopia
Total Funding: $37M
SignalDemand
Total Funding: $41M
Cenzic
Total Funding: $34M
Replay Solutions
Total Funding: $15M
Omniture
Total Funding: $54M
Notara
Total Funding: $12M
Work Experience
Chair
2023
Chair of the MIT Corporation (Board of Trustees).
Member Corporation
2001
Life Member of the Board of Trustees of the Massachusetts Institute of Technology Corporation.
2013
Managing Director
2013
Mark Gorenberg is the Founder and Managing Director of Zetta Venture Partners (www.zettavp.com), the first seed and early stage fund, with $365M under management, focused solely on investment in AI and ML.
2014
Director
2014
Bryj (renamed from FollowAnalytics in February 2022) created the industry’s first intelligent 1:1 enterprise mobile marketing platform that allows companies to automatically build apps with no to low code, and analyze, and engage their customers through a personalized dialogue from their mobile devices. Their intelligent applications adapts to users in real-time and continuously improves the user experience through machine learning. Today bryj.ai has over 100 enterprise customers and have powered billions of app sessions and served over 10 billion native notifications.
2015
Director
2015
Domino Data Lab provides the industry-leading ML Ops and data science collaboration platform that empowers data scientists and analysts with technology that accelerates their work and facilitates best practices and helps facilitate the use of machine learning throughout the enterprise and implements and monitors models in production.
2020
Director
2020
EnsoData has created a leading AI engine for medical waveform analysis. It is initially being used by clinicians for automating the analysis of diagnostic studies for scoring and analyzing sleep disorders, which afflict almost 1B people worldwide. EnsoData has amassed a database of 400K users and their neural-net architecture is best in class for sleep analysis with 94% accuracy in diagnosis, and an improvement in review time that creates a 2-3X increase in patient access.
2017
Director
2017
Falkonry is an innovation leader in time series AI, initially targeted at predictive operations. The product uses sensor data and intelligence to recognize and predict the real-time behavior of machines and improves industrial operations yield, quality, and uptime. Falkonry primarily targets enterprise manufacturers in Metals and Pharmaceuticals, as well as Intelligence and Federal Government agencies.
2017
Director
2017
Marketing Evolution is the only company to provide real-time optimization of creative rotation, targeting, and media mix changes down to the person-level for both online and offline media.
2021
Director
2021
Pimloc provides a deep learning platform to enable private businesses and public organizations and governments to protect and redact personal or sensitive data in videos in real time.
2018
Director
2018
Rever has created the connected worker platform that drives frontline operational excellence and lowers hidden losses. The platform includes guided workflows, team collaboration, continuous improvement, and AI-driven insights. The company has landed and expanded contracts and has deployed into over 300 factories in over 30 customers.
2019
Director
2019
VideaHealth formed out of MIT and Harvard to transform dentistry through AI. Their computer vision models, trained on millions of x-rays, can detect pathologies before dentists to improve diagnosis and increase patient adherence. The company's models lead the industry in accuracy and are being used by the world's largest dental organizations (DSO) and for claims review by insurance companies.