Quadros Bio provides an agritech platform that analyzes existing soil chemistry, climate, management history, and scientific literature to determine soil health, limiting factors, and legally permissible inputs. Each assessment generates a traceable report that includes supporting evidence or explains why a figure cannot be provided, enabling agronomists, researchers, and growers to make data‑driven decisions. The service also offers on‑demand expert network engagements tailored to specific crops, regions, and regulatory pathways.
Funding
Funding not disclosed
Founders
Product
Problem
Agricultural developers and growers lack a systematic way to evaluate soil health, identify limiting factors, and determine which biological inputs are legally permissible and supported by scientific evidence, often relying on fragmented data and opaque assessments.
Solution
Quadros Bio offers a data-driven platform that integrates existing measurements—routine soil chemistry, climate data, management history—and scientific literature to generate traceable, evidence‑based reports on soil function, constraints, and permissible inputs. The platform produces four distinct documents: Solum assesses soil activity and limiting factors; QBIView evaluates the scientific support for a specific product; Polaris identifies legal classifications and regulatory pathways across multiple jurisdictions; and The Field’s Voice captures grower feedback. When evidence is insufficient, the platform omits the figure and clearly explains the gap, ensuring transparent decision support. Users can also access on‑demand expert networks tailored to specific crops, regions, and regulatory contexts.
Target Audience
Primary customers are agritech companies, soil scientists, agronomists, and growers who need rigorous, regulatory‑compliant assessments of soil health and biological product suitability.
Features
- Integration of routine soil chemistry, climate, and management data with curated scientific literature to produce evidence‑based assessments
- Four specialized analytical outputs (Solum, QBIView, Polaris, The Field’s Voice) each delivering a single, traceable document
- Automatic omission of unsupported figures with explicit explanations to maintain transparency
- On‑demand expert network selection by crop, geography, regulatory pathway, or technology class
- Cross‑border regulatory intelligence covering major jurisdictions (e.g., CFIA, EPA/USDA, MAPA, SISGEN)
- Machine‑learning algorithms that link environmental and microbiome data to identify soil constraints