Cultra is a cloud‑based platform that consolidates agronomic lab reports, soil samples, and field histories into a structured, searchable database. Users upload PDFs or CSVs, and the system automatically parses key metrics, visualizes trends, and generates field‑level nutrient management recommendations, enabling agronomists and conservation districts to make timely, data‑driven decisions.
Funding
Funding not disclosed
Founders
Product
Problem
Agronomists and conservation districts often receive field data—lab reports, soil samples, and historical records—in disparate formats like PDFs and CSVs, making it time‑consuming to organize, search, and analyze the information needed for nutrient management decisions.
Solution
Cultra offers a cloud‑based data platform that consolidates raw agronomic files into a structured, searchable database. Users upload PDFs or CSVs, and the system automatically parses key metrics such as organic matter, pH, and phosphorus, linking them to specific fields. The platform visualizes trends over time and generates field‑level nutrient management recommendations, enabling agronomists to act quickly without manual data entry. Data are encrypted in transit and at rest, and the service supports custom target ranges, historical comparisons, and integration with lab APIs for ongoing updates.
Target Audience
Agronomists, soil scientists, and conservation districts that need to organize and analyze field‑level lab data to make timely nutrient management decisions.
Features
- Drag‑and‑drop upload of PDFs and CSVs with automated parsing of soil, tissue, plant‑sap, water quality, and other lab results
- Structured field‑level database that makes all metrics searchable and filterable by field, date, or analysis type
- Interactive visualizations of nutrient trends and soil health indicators across seasons
- Automated generation of nutrient management plans with actionable dosage recommendations
- Customizable target ranges and alerts aligned to crop stages, soil types, and user expertise
- Enterprise features including centralized management for multiple farms, white‑labeled reporting, regression modeling, and direct lab API connections
- End‑to‑end encryption ensuring data privacy and security