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Greg Neufeld

Greg Neufeld

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General Partner @ ValueStream Ventures General Partner at ValueStream Ventures, co-host of The Most Important Thing Podcast
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Education

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Babson College

Bachelor of Science in Business Management, Entrepreneurship 2002-01-01 - 2006-01-01
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The London School of Economics and Political Science (LSE)

, 2004-01-01 - 2004-01-01

Work Experience

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ValueStream Ventures

Current

ValueStream Ventures

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Altitude AI

Current

Altitude AI

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Rabot

Current

Rabot

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Vistapath

Current

Vistapath

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Pave

Current

Pave

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Frame AI (acquired by HubSpot)

Current

Frame AI (acquired by HubSpot)

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XILO

Current

XILO

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VIZION

Current

VIZION

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Bold Metrics Inc.

Current

Bold Metrics Inc.

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Radion Health

Current

Radion Health

Skills

Fundraising Business Networking Start-ups Business Development Mobile Technology Financial Technology Competitive Analysis Product Management Mobile Devices Strategy Market Research Business Strategy Competitive Intelligence Marketing Strategy Telecommunications New Business Development Market Analysis Cloud Computing Analytics Apple

Summary

It is commonly agreed that the next era of software opportunity lies in using AI to power products that automate or enhance processes previously handled by humans. What sets the next wave of billion-dollar startups apart will be their ability to harness proprietary data to train AI models. Companies that can not only utilize publicly available or paid-for data (like everyone else) but can also generate unique and meaningful proprietary data are creating data feedback loops that lead to long-lasting competitive advantages. These advantages have always been valuable, but with the advent of LLMs, their power is explosive. At ValueStream Ventures, we have been building portfolios of data-differentiated companies for nearly a decade. We are backed by the early adopters of proprietary data and its importance, including some of the world's top hedge funds. We have built a winning strategy with an unprecedented advantage in 1) sourcing companies with meaningful, proprietary data flywheels and 2) helping entrepreneurs turn these unique datasets into TAM-expanding AI products.

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