Solinftec offers ALICE, an AI‑driven SaaS platform that ingests and analyzes hundreds of millions of daily data points from farm equipment, IoT sensors, and weather sources. It provides real‑time alerts, predictive analytics, and automated recommendations to optimize spraying schedules, routing, and input use, helping large growers and agronomy service providers reduce waste and improve profitability.
Funding
$52.2M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
YCFounders
Product
Problem
Farm operations generate massive amounts of heterogeneous data, yet growers often lack real-time visibility and actionable insights to prevent losses, optimize resource use, and meet rising food demand while minimizing environmental impact.
Solution
Solinftec’s AI-driven platform, ALICE, aggregates and processes over half a billion daily data points from field equipment, weather, and agronomic activities to provide real-time monitoring and decision support. The cloud‑based SaaS solution delivers alerts, predictive analytics, and automated recommendations that enable growers to address issues before they affect profitability. By maintaining a comprehensive digital record of farm operations, ALICE helps users adjust spraying schedules, routing, and input applications on the fly, reducing idle time and input waste. Integrated machine‑learning models translate raw sensor streams into actionable guidance, supporting both short‑term operational tweaks and long‑term strategic planning. The platform is accessible via mobile devices and a web dashboard, allowing agronomists, fleet managers, and farm owners to collaborate and act on insights instantly.
Target Audience
Primary customers are large‑scale growers, agronomy service providers, and agricultural cooperatives managing millions of acres across commodities such as sugarcane, grain, citrus, coffee, and forestry.
Features
- Real-time ingestion of >500 million field data points per day from machinery, IoT sensors, and weather sources
- AI-powered alerts and predictive analytics that identify inefficiencies and potential failures before they occur
- Automated optimization of spraying schedules, routing, and tank‑mix compatibility to reduce idle time and input waste
- Cloud‑based SaaS dashboard with mobile access for fleet monitoring, agronomy service management, and operational reporting
- Integration of live weather, product label data, and machine‑learning protocols for AI‑assisted scheduling and dispatch
- Support for hyperlocal solutions across commodities, regions, and supply‑chain roles through a user‑generated, customizable interface