Agrosmart — climate-smart farming platform across Latin America

LATAM

Content

Agrosmart, a Brazilian agritech startup launched in 2014 by Mariana Vasconcelos (CEO), Raphael Pizzi and Thales Nicoletti, operates a digital farming platform that integrates on-farm sensors, satellite imagery, and machine learning. As of late 2025 / early 2026 the company reports supporting more than 100,000 farmers in 9 countries across Latin America, monitoring “more than 48 million hectares” (Americas Quarterly, January 2026).

The platform provides real-time data on weather and soil conditions to guide decisions across the cultivation cycle — optimal planting dates, irrigation, fertilizer use. Works with 90+ crops. Vendor-reported figures: up to 60% reduction in water usage and 20% reduction in energy costs (Borgen Project, December 2025, citing Agrosmart framing). The same figures circulated via WEF 2022 and globalventuring 2025 — confirming consistency but not independent verification.

The deployment model is venture-funded platform serving smallholder and SME farmers, smartphone-default with SMS fallback. Distinct from OECD-EU industrial-scale agritech (capital-intensive, equipment-integrated) and from Chinese state-affiliated platforms (cloud-mediated or vertically integrated).

A named end-customer documented in primary press (Americas Quarterly, January 2026): José Ricardo Rodrigues, who manages a 150-hectare citrus farm in Pirassununga, São Paulo, monitoring more than 100,000 orange trees via Agrosmart’s BoosterPro app. He estimates $2,200/month in electricity savings when his irrigation system is off (mobile-app-recommended). Has been an Agrosmart customer since 2021.

The corporate-clients service “ESGo” (per Agrosmart’s own site) provides climate, environmental, and compliance risk diagnostics for supply chains — used by named sectors including agribusiness, insurance and banking. This represents the platform’s pivot upstream from the per-farm app into corporate procurement/SaaS.

Disaster-warning verification: in 2024, Agrosmart’s customers in southern Brazil received alerts forecasting the severe storms that culminated in the Rio Grande do Sul floods (184 deaths, 615,000 displaced, per COP30 reporting cited in AQ). Some farmers brought forward harvests, protected crops, and evacuated properties — providing a documented case of climate-AI-as-early-warning reaching smallholders at scale.

Brazil agtech ecosystem context (per Embrapa Innovation Directorate cited in AQ, January 2026): the number of Brazilian agtech companies grew 75% to almost 2,000 from 2019 to 2024. SP Ventures (Latin America’s largest agtech fund, $130M under management, Brazil + Mexico offices) has been on Agrosmart’s board since 2016 (initial $368K, then $1.3M) — confirmed corporate investor with disclosed amounts.

Operating footprint: 40 employees as of late 2025 (per AQ). Origin: Vale da Eletrônica (Electronics Valley), southern Minas Gerais.

What this unit is doing in the taxonomy

Anchors the venture-funded, smallholder-scale, smartphone-default deployment pattern at meaningful regional scale (100,000+ farmers). Complements the Loblaw / Blue Yonder units (industrial, OECD-EU), the Alibaba / JD units (Chinese platform / vertically integrated), and the CGIAR / IDSov pattern (cooperative / community-mediated).

Why it matters for talks

• Concrete example of agritech reaching smallholder farmers at scale — useful for the is smallholder AI deployment actually happening question, distinct from the does it benefit them question.
• Vendor-reported figures (60% water reduction, 20% energy cost reduction) circulate widely. Talks that cite them should also cite the independent verification caveat below.
• Useful for the deployment-model spectrum frame: cloud-mediated / vertically integrated / cooperative-mediated / venture-funded-platform / state-affiliated-industrial.

Critical context

• Vendor-reported figures (60% water, 20% energy) come from Agrosmart’s own framing; Borgen Project is a popular-press outlet, not a peer-reviewed source. Independent verification at sector scale not surfaced. See G-015.
• IT for Change (Monsalve Suárez and Seufert 2022) is the critical counter-frame: AgriTech in LAC was introduced by the agribusiness sector; smallholder benefit is contested; reaching farmers ≠ meaningful benefit. C-015.
• Smartphone penetration in LAC rural areas is 55–65% (IT for Change). The smartphone-default design assumption leaves out roughly 35–45% of rural population — relevant to G-004 / G-011.
• Connectivity infrastructure is the binding constraint: 13% LAC broadband access overall, rural-urban gap 25% on average.