Michael Franklin
Oprichter bij Truviso, Inc.
Momenteel actieve connecties
Naam | Geslacht | Leeftijd | Verwante bedrijven | Samenwerking |
---|---|---|---|---|
Sailesh Krishnamurthy | M | - |
Truviso, Inc.
Truviso, Inc. Data Processing ServicesTechnology Services Truviso provides analytics software that gives its customers immediate insight into their businesses through continuous, advanced analysis of live production data. Truviso customers are network-driven businesses whose traditional data warehouse and business intelligence solutions cannot deliver actionable information from production systems quickly enough, or cannot scale efficiently with their rapidly increasing volumes of data. Truviso customers gain the flexibility to combine current and historical data in real time for accurate visibility and action for their marketing, sales, operations teams, as well as their partners and customers. The Internet has changed the fundamentals of business. The social web has created a real-time discussion across devices, geographies, applications and users. The flow of information between businesses and consumers has changed dramatically, but the business intelligence technology being used to understand and take action on these conversations is decades old, and was never meant to be used on live production systems. Marketers, advertisers and content providers need immediate insight to understand, optimize and make the most of their videos, ads, articles, downloads and interactions. Getting information about content use and conversations 24 hours after they happen is simply too late for network-driven companies. The conventional store-first, batch-update relational database approach used by business intelligence tools and data warehouses is poorly suited to today’s “need it now” analytics and reporting requirements, and the enormous volume of data these interactions produce. Network-driven companies have had no option but to apply old constructs and technologies to solve a problem that has fundamentally changed. Truviso’s Continuous Analytics software isn’t a faster way to use dated methodologies, but a revolutionary way to process and analyze data—while still adhering to established data management principals. This continuous query technology enables companies to get detailed information about what’s going on across their network instantly, and also enables the system to handle massive amounts of data that previously required very expensive, dedicated infrastructure and complexity. Truviso has multiple patents pending on its continuous query technology, which was originally conceived in 2001 at the University of California, Berkeley, and makes immediate data processing and results across massive amounts of data possible. Truviso, Inc. was founded in 2005 and is lead by Internet and software veterans along with a team of experts in enterprise data management and analytics. Headquartered in Foster City, California, Truviso is funded by ONSET Ventures, Diamondhead Ventures, and the UPS Strategic Enterprise Fund.
University of California, Berkeley
| 21 jaar |
Alexander Russakovsky | M | - |
Truviso, Inc.
Truviso, Inc. Data Processing ServicesTechnology Services Truviso provides analytics software that gives its customers immediate insight into their businesses through continuous, advanced analysis of live production data. Truviso customers are network-driven businesses whose traditional data warehouse and business intelligence solutions cannot deliver actionable information from production systems quickly enough, or cannot scale efficiently with their rapidly increasing volumes of data. Truviso customers gain the flexibility to combine current and historical data in real time for accurate visibility and action for their marketing, sales, operations teams, as well as their partners and customers. The Internet has changed the fundamentals of business. The social web has created a real-time discussion across devices, geographies, applications and users. The flow of information between businesses and consumers has changed dramatically, but the business intelligence technology being used to understand and take action on these conversations is decades old, and was never meant to be used on live production systems. Marketers, advertisers and content providers need immediate insight to understand, optimize and make the most of their videos, ads, articles, downloads and interactions. Getting information about content use and conversations 24 hours after they happen is simply too late for network-driven companies. The conventional store-first, batch-update relational database approach used by business intelligence tools and data warehouses is poorly suited to today’s “need it now” analytics and reporting requirements, and the enormous volume of data these interactions produce. Network-driven companies have had no option but to apply old constructs and technologies to solve a problem that has fundamentally changed. Truviso’s Continuous Analytics software isn’t a faster way to use dated methodologies, but a revolutionary way to process and analyze data—while still adhering to established data management principals. This continuous query technology enables companies to get detailed information about what’s going on across their network instantly, and also enables the system to handle massive amounts of data that previously required very expensive, dedicated infrastructure and complexity. Truviso has multiple patents pending on its continuous query technology, which was originally conceived in 2001 at the University of California, Berkeley, and makes immediate data processing and results across massive amounts of data possible. Truviso, Inc. was founded in 2005 and is lead by Internet and software veterans along with a team of experts in enterprise data management and analytics. Headquartered in Foster City, California, Truviso is funded by ONSET Ventures, Diamondhead Ventures, and the UPS Strategic Enterprise Fund. | - |
Christopher Reid | M | - |
Truviso, Inc.
Truviso, Inc. Data Processing ServicesTechnology Services Truviso provides analytics software that gives its customers immediate insight into their businesses through continuous, advanced analysis of live production data. Truviso customers are network-driven businesses whose traditional data warehouse and business intelligence solutions cannot deliver actionable information from production systems quickly enough, or cannot scale efficiently with their rapidly increasing volumes of data. Truviso customers gain the flexibility to combine current and historical data in real time for accurate visibility and action for their marketing, sales, operations teams, as well as their partners and customers. The Internet has changed the fundamentals of business. The social web has created a real-time discussion across devices, geographies, applications and users. The flow of information between businesses and consumers has changed dramatically, but the business intelligence technology being used to understand and take action on these conversations is decades old, and was never meant to be used on live production systems. Marketers, advertisers and content providers need immediate insight to understand, optimize and make the most of their videos, ads, articles, downloads and interactions. Getting information about content use and conversations 24 hours after they happen is simply too late for network-driven companies. The conventional store-first, batch-update relational database approach used by business intelligence tools and data warehouses is poorly suited to today’s “need it now” analytics and reporting requirements, and the enormous volume of data these interactions produce. Network-driven companies have had no option but to apply old constructs and technologies to solve a problem that has fundamentally changed. Truviso’s Continuous Analytics software isn’t a faster way to use dated methodologies, but a revolutionary way to process and analyze data—while still adhering to established data management principals. This continuous query technology enables companies to get detailed information about what’s going on across their network instantly, and also enables the system to handle massive amounts of data that previously required very expensive, dedicated infrastructure and complexity. Truviso has multiple patents pending on its continuous query technology, which was originally conceived in 2001 at the University of California, Berkeley, and makes immediate data processing and results across massive amounts of data possible. Truviso, Inc. was founded in 2005 and is lead by Internet and software veterans along with a team of experts in enterprise data management and analytics. Headquartered in Foster City, California, Truviso is funded by ONSET Ventures, Diamondhead Ventures, and the UPS Strategic Enterprise Fund. | - |
Curtis Brown | M | - |
Truviso, Inc.
Truviso, Inc. Data Processing ServicesTechnology Services Truviso provides analytics software that gives its customers immediate insight into their businesses through continuous, advanced analysis of live production data. Truviso customers are network-driven businesses whose traditional data warehouse and business intelligence solutions cannot deliver actionable information from production systems quickly enough, or cannot scale efficiently with their rapidly increasing volumes of data. Truviso customers gain the flexibility to combine current and historical data in real time for accurate visibility and action for their marketing, sales, operations teams, as well as their partners and customers. The Internet has changed the fundamentals of business. The social web has created a real-time discussion across devices, geographies, applications and users. The flow of information between businesses and consumers has changed dramatically, but the business intelligence technology being used to understand and take action on these conversations is decades old, and was never meant to be used on live production systems. Marketers, advertisers and content providers need immediate insight to understand, optimize and make the most of their videos, ads, articles, downloads and interactions. Getting information about content use and conversations 24 hours after they happen is simply too late for network-driven companies. The conventional store-first, batch-update relational database approach used by business intelligence tools and data warehouses is poorly suited to today’s “need it now” analytics and reporting requirements, and the enormous volume of data these interactions produce. Network-driven companies have had no option but to apply old constructs and technologies to solve a problem that has fundamentally changed. Truviso’s Continuous Analytics software isn’t a faster way to use dated methodologies, but a revolutionary way to process and analyze data—while still adhering to established data management principals. This continuous query technology enables companies to get detailed information about what’s going on across their network instantly, and also enables the system to handle massive amounts of data that previously required very expensive, dedicated infrastructure and complexity. Truviso has multiple patents pending on its continuous query technology, which was originally conceived in 2001 at the University of California, Berkeley, and makes immediate data processing and results across massive amounts of data possible. Truviso, Inc. was founded in 2005 and is lead by Internet and software veterans along with a team of experts in enterprise data management and analytics. Headquartered in Foster City, California, Truviso is funded by ONSET Ventures, Diamondhead Ventures, and the UPS Strategic Enterprise Fund. | 14 jaar |
Thomas E. Rowley | M | - |
Truviso, Inc.
Truviso, Inc. Data Processing ServicesTechnology Services Truviso provides analytics software that gives its customers immediate insight into their businesses through continuous, advanced analysis of live production data. Truviso customers are network-driven businesses whose traditional data warehouse and business intelligence solutions cannot deliver actionable information from production systems quickly enough, or cannot scale efficiently with their rapidly increasing volumes of data. Truviso customers gain the flexibility to combine current and historical data in real time for accurate visibility and action for their marketing, sales, operations teams, as well as their partners and customers. The Internet has changed the fundamentals of business. The social web has created a real-time discussion across devices, geographies, applications and users. The flow of information between businesses and consumers has changed dramatically, but the business intelligence technology being used to understand and take action on these conversations is decades old, and was never meant to be used on live production systems. Marketers, advertisers and content providers need immediate insight to understand, optimize and make the most of their videos, ads, articles, downloads and interactions. Getting information about content use and conversations 24 hours after they happen is simply too late for network-driven companies. The conventional store-first, batch-update relational database approach used by business intelligence tools and data warehouses is poorly suited to today’s “need it now” analytics and reporting requirements, and the enormous volume of data these interactions produce. Network-driven companies have had no option but to apply old constructs and technologies to solve a problem that has fundamentally changed. Truviso’s Continuous Analytics software isn’t a faster way to use dated methodologies, but a revolutionary way to process and analyze data—while still adhering to established data management principals. This continuous query technology enables companies to get detailed information about what’s going on across their network instantly, and also enables the system to handle massive amounts of data that previously required very expensive, dedicated infrastructure and complexity. Truviso has multiple patents pending on its continuous query technology, which was originally conceived in 2001 at the University of California, Berkeley, and makes immediate data processing and results across massive amounts of data possible. Truviso, Inc. was founded in 2005 and is lead by Internet and software veterans along with a team of experts in enterprise data management and analytics. Headquartered in Foster City, California, Truviso is funded by ONSET Ventures, Diamondhead Ventures, and the UPS Strategic Enterprise Fund. | - |
Thomas C. Kuhr | M | - |
Truviso, Inc.
Truviso, Inc. Data Processing ServicesTechnology Services Truviso provides analytics software that gives its customers immediate insight into their businesses through continuous, advanced analysis of live production data. Truviso customers are network-driven businesses whose traditional data warehouse and business intelligence solutions cannot deliver actionable information from production systems quickly enough, or cannot scale efficiently with their rapidly increasing volumes of data. Truviso customers gain the flexibility to combine current and historical data in real time for accurate visibility and action for their marketing, sales, operations teams, as well as their partners and customers. The Internet has changed the fundamentals of business. The social web has created a real-time discussion across devices, geographies, applications and users. The flow of information between businesses and consumers has changed dramatically, but the business intelligence technology being used to understand and take action on these conversations is decades old, and was never meant to be used on live production systems. Marketers, advertisers and content providers need immediate insight to understand, optimize and make the most of their videos, ads, articles, downloads and interactions. Getting information about content use and conversations 24 hours after they happen is simply too late for network-driven companies. The conventional store-first, batch-update relational database approach used by business intelligence tools and data warehouses is poorly suited to today’s “need it now” analytics and reporting requirements, and the enormous volume of data these interactions produce. Network-driven companies have had no option but to apply old constructs and technologies to solve a problem that has fundamentally changed. Truviso’s Continuous Analytics software isn’t a faster way to use dated methodologies, but a revolutionary way to process and analyze data—while still adhering to established data management principals. This continuous query technology enables companies to get detailed information about what’s going on across their network instantly, and also enables the system to handle massive amounts of data that previously required very expensive, dedicated infrastructure and complexity. Truviso has multiple patents pending on its continuous query technology, which was originally conceived in 2001 at the University of California, Berkeley, and makes immediate data processing and results across massive amounts of data possible. Truviso, Inc. was founded in 2005 and is lead by Internet and software veterans along with a team of experts in enterprise data management and analytics. Headquartered in Foster City, California, Truviso is funded by ONSET Ventures, Diamondhead Ventures, and the UPS Strategic Enterprise Fund. | - |
Shaun Lowry | M | - |
Truviso, Inc.
Truviso, Inc. Data Processing ServicesTechnology Services Truviso provides analytics software that gives its customers immediate insight into their businesses through continuous, advanced analysis of live production data. Truviso customers are network-driven businesses whose traditional data warehouse and business intelligence solutions cannot deliver actionable information from production systems quickly enough, or cannot scale efficiently with their rapidly increasing volumes of data. Truviso customers gain the flexibility to combine current and historical data in real time for accurate visibility and action for their marketing, sales, operations teams, as well as their partners and customers. The Internet has changed the fundamentals of business. The social web has created a real-time discussion across devices, geographies, applications and users. The flow of information between businesses and consumers has changed dramatically, but the business intelligence technology being used to understand and take action on these conversations is decades old, and was never meant to be used on live production systems. Marketers, advertisers and content providers need immediate insight to understand, optimize and make the most of their videos, ads, articles, downloads and interactions. Getting information about content use and conversations 24 hours after they happen is simply too late for network-driven companies. The conventional store-first, batch-update relational database approach used by business intelligence tools and data warehouses is poorly suited to today’s “need it now” analytics and reporting requirements, and the enormous volume of data these interactions produce. Network-driven companies have had no option but to apply old constructs and technologies to solve a problem that has fundamentally changed. Truviso’s Continuous Analytics software isn’t a faster way to use dated methodologies, but a revolutionary way to process and analyze data—while still adhering to established data management principals. This continuous query technology enables companies to get detailed information about what’s going on across their network instantly, and also enables the system to handle massive amounts of data that previously required very expensive, dedicated infrastructure and complexity. Truviso has multiple patents pending on its continuous query technology, which was originally conceived in 2001 at the University of California, Berkeley, and makes immediate data processing and results across massive amounts of data possible. Truviso, Inc. was founded in 2005 and is lead by Internet and software veterans along with a team of experts in enterprise data management and analytics. Headquartered in Foster City, California, Truviso is funded by ONSET Ventures, Diamondhead Ventures, and the UPS Strategic Enterprise Fund. | 14 jaar |
Roman Bukary | M | - |
Truviso, Inc.
Truviso, Inc. Data Processing ServicesTechnology Services Truviso provides analytics software that gives its customers immediate insight into their businesses through continuous, advanced analysis of live production data. Truviso customers are network-driven businesses whose traditional data warehouse and business intelligence solutions cannot deliver actionable information from production systems quickly enough, or cannot scale efficiently with their rapidly increasing volumes of data. Truviso customers gain the flexibility to combine current and historical data in real time for accurate visibility and action for their marketing, sales, operations teams, as well as their partners and customers. The Internet has changed the fundamentals of business. The social web has created a real-time discussion across devices, geographies, applications and users. The flow of information between businesses and consumers has changed dramatically, but the business intelligence technology being used to understand and take action on these conversations is decades old, and was never meant to be used on live production systems. Marketers, advertisers and content providers need immediate insight to understand, optimize and make the most of their videos, ads, articles, downloads and interactions. Getting information about content use and conversations 24 hours after they happen is simply too late for network-driven companies. The conventional store-first, batch-update relational database approach used by business intelligence tools and data warehouses is poorly suited to today’s “need it now” analytics and reporting requirements, and the enormous volume of data these interactions produce. Network-driven companies have had no option but to apply old constructs and technologies to solve a problem that has fundamentally changed. Truviso’s Continuous Analytics software isn’t a faster way to use dated methodologies, but a revolutionary way to process and analyze data—while still adhering to established data management principals. This continuous query technology enables companies to get detailed information about what’s going on across their network instantly, and also enables the system to handle massive amounts of data that previously required very expensive, dedicated infrastructure and complexity. Truviso has multiple patents pending on its continuous query technology, which was originally conceived in 2001 at the University of California, Berkeley, and makes immediate data processing and results across massive amounts of data possible. Truviso, Inc. was founded in 2005 and is lead by Internet and software veterans along with a team of experts in enterprise data management and analytics. Headquartered in Foster City, California, Truviso is funded by ONSET Ventures, Diamondhead Ventures, and the UPS Strategic Enterprise Fund. | - |
Kim MacPherson | F | - |
Truviso, Inc.
Truviso, Inc. Data Processing ServicesTechnology Services Truviso provides analytics software that gives its customers immediate insight into their businesses through continuous, advanced analysis of live production data. Truviso customers are network-driven businesses whose traditional data warehouse and business intelligence solutions cannot deliver actionable information from production systems quickly enough, or cannot scale efficiently with their rapidly increasing volumes of data. Truviso customers gain the flexibility to combine current and historical data in real time for accurate visibility and action for their marketing, sales, operations teams, as well as their partners and customers. The Internet has changed the fundamentals of business. The social web has created a real-time discussion across devices, geographies, applications and users. The flow of information between businesses and consumers has changed dramatically, but the business intelligence technology being used to understand and take action on these conversations is decades old, and was never meant to be used on live production systems. Marketers, advertisers and content providers need immediate insight to understand, optimize and make the most of their videos, ads, articles, downloads and interactions. Getting information about content use and conversations 24 hours after they happen is simply too late for network-driven companies. The conventional store-first, batch-update relational database approach used by business intelligence tools and data warehouses is poorly suited to today’s “need it now” analytics and reporting requirements, and the enormous volume of data these interactions produce. Network-driven companies have had no option but to apply old constructs and technologies to solve a problem that has fundamentally changed. Truviso’s Continuous Analytics software isn’t a faster way to use dated methodologies, but a revolutionary way to process and analyze data—while still adhering to established data management principals. This continuous query technology enables companies to get detailed information about what’s going on across their network instantly, and also enables the system to handle massive amounts of data that previously required very expensive, dedicated infrastructure and complexity. Truviso has multiple patents pending on its continuous query technology, which was originally conceived in 2001 at the University of California, Berkeley, and makes immediate data processing and results across massive amounts of data possible. Truviso, Inc. was founded in 2005 and is lead by Internet and software veterans along with a team of experts in enterprise data management and analytics. Headquartered in Foster City, California, Truviso is funded by ONSET Ventures, Diamondhead Ventures, and the UPS Strategic Enterprise Fund. | - |
Paul T. Kostecki | M | 74 |
University of Massachusetts
| 44 jaar |
Relatiegrafiek
Connectie in verschillende bedrijven
Oude connecties
Naam | Geslacht | Leeftijd | Verwante bedrijven | Samenwerking |
---|---|---|---|---|
Patrick Scaglia | M | 70 |
University of California, Berkeley
| 15 jaar |
Josh Ragent | M | - |
University of California, Berkeley
| 4 jaar |
Andrew Kam | M | 32 |
University of California, Berkeley
| 5 jaar |
Jonathan Allen | M | - |
University of California, Berkeley
| 2 jaar |
Howard Wu | M | - |
University of California, Berkeley
| 5 jaar |
Alic Chen | M | - |
University of California, Berkeley
| 4 jaar |
Daniel K. Nomura | M | - |
University of California, Berkeley
| 9 jaar |
Marcos Alvarez Conde | M | - |
University of California, Berkeley
| 1 jaar |
Ki-Ha Lee | M | - |
University of California, Berkeley
| 5 jaar |
Laura Parada | M | - |
University of California, Berkeley
| 5 jaar |
Ryan Stever | M | - |
University of California, Berkeley
| 4 jaar |
Sabina Gault | F | - |
University of California, Berkeley
| 2 jaar |
Roseanne Wincek | F | - |
University of California, Berkeley
| 6 jaar |
Beau Trincia | M | - |
University of California, Berkeley
| 1 jaar |
Erica Meta Smith | F | - |
University of California, Berkeley
| 6 jaar |
Megan E. O'Sullivan | F | - |
University of California, Berkeley
| 8 jaar |
Eveline Dong | M | - |
University of California, Berkeley
| 6 jaar |
Alvise Bonivento | M | - |
University of California, Berkeley
| 5 jaar |
Joel Drescher | M | - |
University of California, Berkeley
| 5 jaar |
Michael Trigg | M | - |
Truviso, Inc.
Truviso, Inc. Data Processing ServicesTechnology Services Truviso provides analytics software that gives its customers immediate insight into their businesses through continuous, advanced analysis of live production data. Truviso customers are network-driven businesses whose traditional data warehouse and business intelligence solutions cannot deliver actionable information from production systems quickly enough, or cannot scale efficiently with their rapidly increasing volumes of data. Truviso customers gain the flexibility to combine current and historical data in real time for accurate visibility and action for their marketing, sales, operations teams, as well as their partners and customers. The Internet has changed the fundamentals of business. The social web has created a real-time discussion across devices, geographies, applications and users. The flow of information between businesses and consumers has changed dramatically, but the business intelligence technology being used to understand and take action on these conversations is decades old, and was never meant to be used on live production systems. Marketers, advertisers and content providers need immediate insight to understand, optimize and make the most of their videos, ads, articles, downloads and interactions. Getting information about content use and conversations 24 hours after they happen is simply too late for network-driven companies. The conventional store-first, batch-update relational database approach used by business intelligence tools and data warehouses is poorly suited to today’s “need it now” analytics and reporting requirements, and the enormous volume of data these interactions produce. Network-driven companies have had no option but to apply old constructs and technologies to solve a problem that has fundamentally changed. Truviso’s Continuous Analytics software isn’t a faster way to use dated methodologies, but a revolutionary way to process and analyze data—while still adhering to established data management principals. This continuous query technology enables companies to get detailed information about what’s going on across their network instantly, and also enables the system to handle massive amounts of data that previously required very expensive, dedicated infrastructure and complexity. Truviso has multiple patents pending on its continuous query technology, which was originally conceived in 2001 at the University of California, Berkeley, and makes immediate data processing and results across massive amounts of data possible. Truviso, Inc. was founded in 2005 and is lead by Internet and software veterans along with a team of experts in enterprise data management and analytics. Headquartered in Foster City, California, Truviso is funded by ONSET Ventures, Diamondhead Ventures, and the UPS Strategic Enterprise Fund. | - |
Tom Beerle | M | - |
University of California, Berkeley
| 7 jaar |
Lap Wai Cheung | M | 41 |
University of California, Berkeley
| 4 jaar |
Brian Chevalier-Jordan | M | - |
University of California, Berkeley
| 2 jaar |
Ayush Singhania | M | - |
University of California, Berkeley
| 4 jaar |
Andrew Zhang | M | - |
University of California, Berkeley
| 4 jaar |
Dun Wang | M | 32 |
University of California, Berkeley
| 4 jaar |
Kyle Lui | M | - |
University of California, Berkeley
| 3 jaar |
Alex Ortiz | M | - |
University of California, Berkeley
| 2 jaar |
Steven Bruce Rossi | M | - |
University of California, Berkeley
| 4 jaar |
Michael Nave | M | - |
University of California, Berkeley
| 4 jaar |
Siti Panigrahi | M | - |
University of California, Berkeley
| 3 jaar |
Lauren Frasch | F | - |
University of California, Berkeley
| 4 jaar |
Rishi Jaluria | M | - |
University of California, Berkeley
| 4 jaar |
Mike S. Cho | M | - |
University of California, Berkeley
| 4 jaar |
Edward Parker | M | - |
University of California, Berkeley
| 4 jaar |
Victor Wang | M | - |
University of California, Berkeley
| 3 jaar |
Jeremy Fiance | M | - |
University of California, Berkeley
| 4 jaar |
Judy Li | F | - |
University of California, Berkeley
| 4 jaar |
Amir Hassanabadi | M | - |
University of California, Berkeley
| 4 jaar |
Karina Andrea Maureira | F | - |
University of California, Berkeley
| 4 jaar |
Thomas Lee | M | - |
University of California, Berkeley
| 4 jaar |
Andy Jagoe | M | - |
University of California, Berkeley
| 2 jaar |
Kevin Murphy | M | - |
University of California, Berkeley
| 2 jaar |
Michael Bannon Stokes | M | - |
University of California, Berkeley
| 2 jaar |
Jennifer Hwang | F | - |
University of California, Berkeley
| 3 jaar |
Sam Namiri | M | 40 |
University of California, Berkeley
| 4 jaar |
Yadong Li | M | - |
University of California, Berkeley
| 1 jaar |
Jeffrey Morris | M | - |
University of California, Berkeley
| 4 jaar |
Barry Behnken | M | - |
University of California, Berkeley
| 1 jaar |
Jerry Diao | M | - |
University of California, Berkeley
| 4 jaar |
Lauriston Benjamin Ek | M | - |
University of California, Berkeley
| 5 jaar |
Kendall Brown | F | - |
University of California, Berkeley
| 4 jaar |
Dae Lee | M | - |
University of California, Berkeley
| 2 jaar |
Ian Chun | M | - |
University of California, Berkeley
| 4 jaar |
Daniel Frankenstein | M | - |
University of California, Berkeley
| 4 jaar |
Andrew Nesbit | M | - |
University of California, Berkeley
| 4 jaar |
Vadim Perelman | M | 41 |
University of California, Berkeley
| 4 jaar |
Ryan Foltz | M | - |
University of California, Berkeley
| 1 jaar |
George Madrigal | M | - |
University of California, Berkeley
| 2 jaar |
Ciera Ashley | F | - |
University of California, Berkeley
| 2 jaar |
Adrian Druzgalski | M | - |
University of California, Berkeley
| 4 jaar |
Patrick Xuan | M | - |
University of California, Berkeley
| 3 jaar |
Nicholas Jennings | M | - |
University of California, Berkeley
| 2 jaar |
Benjamin Cappello | M | - |
University of California, Berkeley
| 4 jaar |
Lisa Mears O'Connor | F | - |
University of California, Berkeley
| 3 jaar |
Seung-Yong Lee | M | 48 |
University of California, Berkeley
| 1 jaar |
Debra Marranca Stotler | M | - |
University of Massachusetts
| 3 jaar |
Sean Engel | M | - |
University of California, Berkeley
| 4 jaar |
Kaushal Shah | M | - |
University of California, Berkeley
| 1 jaar |
Pratik Sharda | M | - |
University of California, Berkeley
| 1 jaar |
Andrew Tran | M | - |
University of California, Berkeley
| 4 jaar |
Connie Hsu | F | - |
University of California, Berkeley
| 4 jaar |
Ryan W. Braniff | M | - |
University of California, Berkeley
| 1 jaar |
David Freeman | M | - |
University of California, Berkeley
| 4 jaar |
Paulo Figueiredo de Paula e Silva | M | 50 |
University of California, Berkeley
| 1 jaar |
Alan Chung | M | - |
University of California, Berkeley
| 4 jaar |
Rosen Diankov | M | 41 |
University of California, Berkeley
| 4 jaar |
Sebastian Cua | M | - |
University of California, Berkeley
| 4 jaar |
John T. Ta | M | - |
University of California, Berkeley
| 4 jaar |
Adam DiMartino | M | - |
University of California, Berkeley
| 2 jaar |
Mark Craig | M | - |
University of California, Berkeley
| 2 jaar |
Paul Nicholas Ebner | M | - |
University of California, Berkeley
| 2 jaar |
Adam Harris | M | - |
University of California, Berkeley
| 4 jaar |
Brian Dudley | M | - |
University of California, Berkeley
| 4 jaar |
David Chang | M | - |
University of California, Berkeley
| 4 jaar |
Jennifer Ng | F | - |
University of California, Berkeley
| 4 jaar |
Jason Chow | M | - |
University of California, Berkeley
| 4 jaar |
Nima Wedlake | M | - |
University of California, Berkeley
| 4 jaar |
Chung Wu | M | - |
University of California, Berkeley
| 4 jaar |
Ernie Tedeschi | M | - |
University of California, Berkeley
| 1 jaar |
Statistieken
Land | Connecties | % van het totaal |
---|---|---|
Verenigde Staten | 100 | 100.00% |
Ouderdom van de connecties
Actief
Verleden
Man
Vrouw
Besturend
Uitvoerend
Oorsprong van de connecties
- Beurs
- Insiders
- Michael Franklin
- Persoonlijk netwerk