TPG Growth invests in agtech venture Gro Intelligence
Type: Early Stage VC
Fund Manager: TPG Growth
Date Launched: October 2017
Sector Focus: AgriData, AgTech
Region Focus: Global
Total Deal Size: undisclosed
TPG Growth led Gro Intelligence’s Series A round, amount undisclosed, which also included investments from Data Collective and several family offices. TPG Growth was founded in 2007 and has $8.3 billion in assets under management, including the $2 billion The Rise Fund, which has so far announced five investments of its own.
Gro Intelligence scrapes information sources from governments, trade organizations and markets and standardizes the data so they can be indexed and searched. TPG’s investment will help Gro improve their data collection capabilities and expand their reach.
Why This Deal Matters
As the effects of climate change escalate and the global population continues to grow, achieving global food security becomes an even great risk. Addressing food security and agricultural related issues can’t be done on one’s own. It will require people across the entire value chain to become more data-driven and innovative, identifying several solutions in a short amount of time.
Gro Intelligence’s software and database provides key decision makers the data infrastructure necessary to support and facilitate innovation across the global food and agriculture industry.
Key Stakeholders Involved
TPG Growth: TPG Growth is a private equity firm which specializes in growth equity and middle market buyouts. The firm seeks to invest in companies operating in consumer and retail, financial service, healthcare industrials, real estate, technology, internet and digital media, natural resource and energy sectors based in the United States, Europe, Africa and Asia. The firm was founded in 2007 and is based in San Francisco, California.
Gro Intelligent: The Nairobi and New York based agriculture data processing platform intends to bridge the data gaps across global agriculture. The company’s agriculture data processing platform includes digital algorithms which aggregates and processes agricultural data to unlock insights into weather patterns, trade flows, pricing dynamics and production, enabling users to get a clear, comprehensive and timely picture of the factors influencing the agricultural commodity.