Blomso
Blomso provides a biospheric operating system that connects fragmented soil, terrain, imagery, yield, and field records into a single digital field. The platform surfaces uncertainty in its maps and visualizations, helping farmers and agronomists assess data confidence before making decisions, and is developing simulation capabilities to test management choices before field implementation.
- Agriculture Technology
- Data & Analytics
- Software Only
Funding
Funding not disclosed
Founders
Founder details are not available yet.
Product
Problem
Farmers, agronomists, and researchers need to understand how soil, water, and yield potential vary across a field to manage each part appropriately, but the necessary information is fragmented across disconnected data sources. This disconnection makes it difficult to combine observations, interpret field conditions, and carry insights forward into future decisions.
Solution
Blomso provides a biospheric operating system rooted in the soil that connects fragmented field data into one digital field while preserving what each observation means. The platform fuses soil, terrain, imagery, yield, and field records, then converts that digital field into maps and visualizations people can interpret, compare, and use for decisions while keeping uncertainty visible. Blomso is building toward testing management choices and their possible outcomes before implementation, with what happens in the field feeding back into the system to improve what can be understood and tested next. The platform does not replace farmers' existing tools; it hands them better inputs, ending in the file formats their tools already open.
Target Audience
Primary users are farmers, agronomists, and researchers who need integrated field data to understand soil-water-yield dynamics and make informed management decisions across individual fields.
Features
- Data fusion layer that brings soil, terrain, imagery, yield, and field records into a single digital field while preserving the meaning of each observation
- Map and visualization tools that surface uncertainty explicitly, allowing users to assess confidence in the data before making decisions
- Simulation capabilities under development for testing management choices and their possible outcomes in-silico before field implementation
- Feedback loop that captures actual field outcomes and feeds them back into the system to improve future predictions
- Integration approach designed to complement existing farm management tools rather than replace them, delivering outputs compatible with familiar file formats