Hippo Harvest closes $30 million Series C to scale robotic indoor growing technology
Source: VFD.com
Hippo Harvest closes $30 million Series C to scale robotic indoor growing technology Thanks! Hippo Harvest closes $30 million Series C to scale robotic indoor growing technology Leafy greens grower Hippo Harvest has announced the close of a $30 million Series C funding round led by Cox Farms, North America's largest greenhouse operator.
The investment will unlock a 30-acre expansion at a new Hollister, CA facility, currently in permitting, and the development of the company's next-generation robotic growing system, expanding growing capacity from one acre today and accelerating the commercialization of indoor-grown spinach. The spinach commercialization marks a significant milestone for Hippo Harvest, which also launched its butter lettuce to retail buyers in early 2026.
Hippo Harvest's hybrid assortment blends greenhouse and organic field-grown greens to deliver broader variety and reliable supply in a sector increasingly affected by climate volatility. © Hippo Harvest Hippo Harvest AMR Tractors At the center of Hippo Harvest's model is a proprietary robotic growing system that uses Autonomous Mobile Robots (AMRs) and machine learning to monitor, tend, and harvest plants with precision at every stage of growth.
Why this matters: For operators, this is a water-management story. The useful signal is that direct substrate measurements can help cut drain loss materially without giving up yield or fruit quality, which is exactly the kind of controllable efficiency gain a facility can build on.
Frequently Asked Questions
Why does substrate sensing matter in free-drain strawberry systems?
Because drain percentage tells a grower what already happened, while substrate moisture and EC data show root-zone conditions directly. That makes it easier to cut water loss without guessing.
What is the operator takeaway from this trial?
If the thresholds are understood well enough, growers can reduce drain water materially while protecting yield and fruit quality, which makes sensing an operational tool instead of a reporting tool.
