BeeSage

BeeSage

Data-driven beekeeping for productivity and sustainability.

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DateInvestorsAmountRound
-investor investor

€0.0

round
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€0.0

round
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€0.0

round
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round
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$80.0k

Seed
Total Funding000k

Financials

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Revenues, earnings & profits over time
USD20222023
Revenues00000000
% growth-40 %
EBITDA00000000
Profit00000000
EV00000000
EV / revenue00.0x00.0x
EV / EBITDA00.0x00.0x
R&D budget00000000

Source: Dealroom estimates

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More about BeeSage
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BeeSage provides a modular early warning system designed to protect honey bee colonies from various threats, including pests and diseases. The company's system utilizes wireless, lightweight hardware that can be installed in beehives to collect real-time data on the colony's condition. This data is then processed and analyzed on a proprietary platform, offering beekeepers actionable insights and alerts to help prevent colony losses and optimize apiary management.

The technology aims to advance apiculture by enabling a data-driven approach to beekeeping, a practice referred to as Apiculture 4.0. By monitoring hive health proactively, the system helps beekeepers maximize honey yields and pollination services, which in turn contributes to safeguarding ecosystems and advancing food security. The platform is designed to scale from individual hive alerts to comprehensive AI-enabled analytics for entire apiaries. The business model likely involves the sale of the hardware devices combined with a subscription-based service for access to the data analytics platform. Clients range from hobbyist beekeepers to commercial apiaries.

Founded in 2020 by Davis M. John, Janis Kronbergs, and Martins Zeps, BeeSage is headquartered in Riga, Latvia. Davis M. John, the CEO, has a background in product management and UX/UI design. Janis Kronbergs, the CTO, specializes in electronics and hardware. BeeSage was one of the winning teams at the EIT Food's 2020 Innovation Prizes event.

Keywords: Apiculture technology, bee colony monitoring, precision beekeeping, apiary management, hive sensors, real-time data analytics, pest detection, disease prevention, agricultural technology, food security

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