Data for agriculture finally in one place
AI Analyst connects farm operations and the agricultural supply chain systems —ERP, sensors, CRM— to deliver a 360° view, detect anomalies, and explain what really caused them, factoring in weather conditions and yield per plot.
In agriculture, data lives scattered across systems that don't talk to each other
In farm operations and the agricultural supply chain, relevant information —including weather conditions and yield per plot— lives scattered across different tools, and no one has the full picture to explain why a key metric changed.
Fragmented data
Information from farms and field warehouses lives in systems that don't natively cross-reference.
Anomalies that go unnoticed
A significant deviation in harvest by season and product quality is detected days after it occurs.
Correlation without causality
Dashboards show that something changed, without explaining whether the cause was weather conditions and yield per plot or another variable.
A data analyst specialized in agriculture
Unifies farm operations and the agricultural supply chain systems into a single data control layer, monitors constantly, and explains the real causality behind every change.
Native integrations
Connects ERP, sensors, CRM, and sector operating systems with no custom development.
360° data control
Unifies business metrics into a single source of truth, queryable by any team.
Automatic anomaly detection
Constantly monitors key metrics and alerts as soon as it detects a significant deviation.
Real causality explanation
Goes beyond correlation: identifies which variable actually caused the detected change.
From scattered systems to a clear explanation
The solution connects, monitors, and explains without any team having to cross-reference data manually.
Connects with what you already use, with no friction
Connects to the systems native to farm operations and the agricultural supply chain, including weather conditions and yield per plot.
ERP, sensors, and operating systems
ERP, sensors, and operating systems from farms and field warehouses, including weather conditions and yield per plot.
AI Analyst for Agriculture
Unifies data, monitors metrics, and analyzes causality continuously.
Leadership and business teams
Delivers actionable explanations and alerts to the responsible teams.
Human oversight available at every critical step: the solution proposes, your team decides when it's needed.
Where it adds the most value in agriculture
Leadership and operations
Get a unified view of farms and field warehouses without relying on manual reports.
Quality control and compliance
Detect anomalies related to weather conditions and yield per plot before they become a bigger problem.
Planning and purchasing
Understand which variable actually explains a change in harvest by season and product quality.
An agricultural cooperative with several farms and field warehouses that took weeks to explain an anomaly
A real example of the kind of situation this solution solves.
A key metric changed notably across several farms, and each team pointed to a different cause with no cross-referenced data to confirm it.
Information lived scattered across the ERP, operating systems, and weather conditions and yield per plot data, with no layer to cross-reference them. Confirming the real cause took weeks of meetings and manual exports.
AI Analyst identifies the real variable behind the change within hours, with over 100 sources already connected and continuously monitored.
With farm operations and the agricultural supply chain systems unified, the solution detects the anomaly the same day it occurs, and its causality analysis points to the exact variable, ruling out the other hypotheses.
Unify your agriculture operation's data
We'll show you how AI Analyst connects your systems and explains the real causality behind your numbers.