SLC Agricola
VC Fund
Porto Alegre, Brazil
SLC Agricola is a business engaged in agriculture. Producing and selling seeds and saplings, processing and trading its products, supplying basic agricultural goods and products, providing cleaning, drying, and storage services, providing services related to agricultural machinery and equipment, trading, importing, and exporting agriculturalproducts, and processing sugarcane, ethanol, and its byproducts are some of its main business activities. The cultivation of cotton, soybeans, and corn make up the agricultural production segment, while the acquisition and development of agricultural land are included in the land portfolio segment. Cotton, corn, and soybeans are among its exports.
- Total investments:
- 3
- Last investment:
- Lead investor:
- 0%
Last updated:
For AI agents: llms.txt
Industries SLC Agricola invests in
Stages SLC Agricola invests in
Countries SLC Agricola invests in
Investment Focus
Industry
- Agriculture 2 (67%)
- SaaS 1 (33%)
- AgTech 1 (33%)
- Big Data 1 (33%)
- Internet 1 (33%)
Stage
- Seed 1 (33%)
- Series B 1 (33%)
- Equity Crowdfunding 1 (33%)
Investments
| Company | Description | Round | Links |
|---|---|---|---|
| Through the FieldScan platform, Sensix uses analytical intelligence and machine learning to consolidate and correlate data from drones, satellites, machines, climate and soil and plant samples, generating input application maps, greater crop predictability and greater profitability for farmers. The web-based platform FieldScan is capable ofdelivering weed localization maps, quantifying planting gaps, identifying vigor and biomass variability and soil and plant sampling maps for variable rate application of fertilizers, nematicides, regulators (cotton), resistance inducers and insecticides, communicating directly with the agricultural machinery and impacting in saving of inputs, greater homogeneity of the crop and increase of yields. | $886K / Seed / May 24, 2023 | ||
| Through the FieldScan platform, Sensix uses analytical intelligence and machine learning to consolidate and correlate data from drones, satellites, machines, climate and soil and plant samples, generating input application maps, greater crop predictability and greater profitability for farmers. The web-based platform FieldScan is capable ofdelivering weed localization maps, quantifying planting gaps, identifying vigor and biomass variability and soil and plant sampling maps for variable rate application of fertilizers, nematicides, regulators (cotton), resistance inducers and insecticides, communicating directly with the agricultural machinery and impacting in saving of inputs, greater homogeneity of the crop and increase of yields. | $991.6K / Equity Crowdfunding / Apr 17, 2023 | ||
| Aegro provides SaaS to replace old ways of dealing with agrarian data, largely based on paper and pencil or legacy software and generic tools that were never really designed for the job. Its solution is a management tool for the agricultural production system encompassing financial, productivity, and commercial management.Aegro was founded in2014 and is based in Porto Alegre, Brazil. | $2.2M / Series B / Jan 05, 2021 |
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FAQ
What does SLC Agricola invest in?
SLC Agricola invests primarily in Agriculture, SaaS and AgTech startups, most often at Seed and Series B stage. Most of the 3 investments tracked by Shizune back companies in Brazil. The Investment Focus section breaks down every industry, stage and country in the portfolio.
When did SLC Agricola last invest?
The most recent investment recorded for SLC Agricola closed in May 2023. Shizune tracks 3 investments in total for this profile, including round sizes, stages and portfolio companies, all sourced from confirmed public funding rounds and refreshed monthly.
Is Shizune's investor data accurate?
Yes — every stat on this profile is calculated from confirmed public funding rounds monitored across hundreds of sources since 2020. This profile was last refreshed in Aug 2026 and is updated monthly. Spotted something off? Use the “Suggest an edit” link near the top of the page.
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