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Eghosa Omoigui

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Investor @ KBox Global Seed, Early-stage and Early-Growth US & Emerging Markets Technology VC Investor (Africa; Silicon Valley; SE Asia)
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Education

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Babson College

MBA, Entrepreneurship 2003-01-01 - 2005-03-01
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University of Pennsylvania

LL.M, Corporate Law and FInance 1992-08-01 - 1993-05-01
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Nigeria Law School

B.L (Honors), Law 1989-01-01 - 1990-01-01
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University of Nigeria, Nsukka

LL.B (Honors) [JD equiv.], Law 1985-09-01 - 1989-10-01
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Kings College Lagos

O'Levels, 1979-01-01 - 1984-01-01

Work Experience

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KBox Global

Current

KBox Global

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Rising Tide Africa

Current

Rising Tide Africa

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Parallel Wireless

Current

Parallel Wireless

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SystemOne

Current

SystemOne

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Cellulant

Current

Cellulant

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Easyshop Easycook Services Limited

Current

Easyshop Easycook Services Limited

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LifeBank

Current

LifeBank

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Gro Intelligence

Current

Gro Intelligence

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Printivo.com

Current

Printivo.com

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Hotels.ng

Current

Hotels.ng

Skills

New Business Development Negotiation Business Strategy Private Equity Venture Capital Business Development Entrepreneurship Start-ups Mergers Mergers & Acquisitions Strategy Mobile Devices Corporate Finance Corporate Development Cloud Computing Investments Corporate Law Acquisitions Portfolio Management Restructuring

Summary

Venture capitalist focusing on general mobile and consumer internet investments (community, commerce, collaboration, tools, content & media) as well as select enterprise and cloud infrastructure opportunities; specific interest areas include search, smart data, ambient awareness and semantic technology-based platforms and services - domain expertise in semantic web and web 3.0 opportunities. Worked as corporate/VC/m&a/bankruptcy attorney, start-up executive, and entrepreneur. Advisory role to start-ups. Specialties: Venture Capital; Private Equity; Strategic Investments (Enterprise Software/Server Platform Technologies/Consumer Internet/Mobile); Treasury Transactions; M&A; Insolvencies & Restructurings; IP acquisitions; Corporate & Securities Law; Semantic Technologies (inference, search, machine learning, NLP, recommendation and matching, data mining, etc.)

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