
ZoomAgri
Determining the quality of agricultural raw materials for all participants in the supply chain, through image processing, ai, and iot.
Date | Investors | Amount | Round |
---|---|---|---|
- | investor investor | €0.0 | round |
investor | €0.0 | round | |
investor investor investor investor | €0.0 | round | |
investor investor investor investor | €0.0 | round | |
* | $6.0m | Series A | |
Total Funding | 000k |
EUR | 2022 | 2023 |
---|---|---|
Revenues | 0000 | 0000 |
% growth | - | 18 % |
EBITDA | 0000 | 0000 |
Profit | 0000 | 0000 |
% profit margin | (104 %) | (70 %) |
EV | 0000 | 0000 |
EV / revenue | 00.0x | 00.0x |
EV / EBITDA | 00.0x | 00.0x |
R&D budget | 0000 | 0000 |
Source: Company filings or news article
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ZoomAgri is an AgTech scale-up that has carved out a niche in the Testing, Inspection, and Certification (TIC) sector for agricultural commodities. Established in 2017 by founders Fernando Martinez, Jaap Rommelaar, and Matias Micheloud, the company originated from their shared vision to digitize and standardize the quality assessment of grains and oilseeds.
The founders bring a complementary blend of expertise to the venture. Martinez has a background in agricultural production and international trade, Rommelaar contributes his experience in logistics and commodity trading, and Micheloud offers a deep understanding of technology and image processing. Their collective experience in the agricultural supply chain highlighted the inefficiencies and subjectivity of traditional grain inspection methods, which rely heavily on manual, visual checks. This firsthand knowledge was the catalyst for developing a technology-driven solution.
ZoomAgri's core business revolves around its proprietary platform that leverages computer vision, artificial intelligence, and machine learning for the analysis of agricultural commodities. The company provides a hardware and software solution that automates the process of identifying and quantifying grain varieties and quality parameters. Clients, which include grain elevators, processors, traders, and certification bodies, install ZoomAgri's image recognition equipment at their facilities. The system captures high-resolution images of grain samples and the AI-powered software analyzes them in real-time, delivering objective and traceable results.
The business model is primarily based on a Software as a Service (SaaS) subscription, where clients pay recurring fees for access to the platform, analytics, and ongoing support. This model provides predictable revenue streams for ZoomAgri and allows clients to adopt advanced technology without a prohibitive upfront capital investment. The service offers significant benefits, including increased accuracy, reduced operational costs, and enhanced transparency throughout the supply chain, ultimately enabling data-driven decision-making for buyers and sellers.
A key milestone for the company was its expansion into international markets, establishing a presence across the Americas, Europe, and Australia. This global footprint demonstrates the scalability and adaptability of its technology to different types of grains and regulatory environments. The company has also secured several funding rounds, which have been instrumental in fueling its research and development efforts and market expansion.
Keywords: AgTech, commodity analysis, computer vision, artificial intelligence, grain quality, SaaS, agricultural technology, supply chain transparency, quality control, food certification