The platform

Audit-ready, source-linked soil and field data for reporting and decisions. Soil is the beachhead. We also ingest sensors, weather, and field notes into the same traceable record, including uploaded PDFs/photos/CSVs that we extract into structured data.

Today: dashboards, reports, and evidence links. Next: baselines, benchmarks, and early prediction. Later: scenario testing and simulation on verified data.

Collect → Link → Model → Prove

Collect

Soil lab results, IoT sensor streams, weather data, and field scout notes. Upload PDFs/photos/CSVs or connect sources through the API. We extract key fields into a normalized dataset for aggregation and reporting.

Link

Provenance and integrity: every data point is timestamped at capture, anomaly-flagged against expected ranges, and linked to its original source. Lineage is preserved across transformations (raw → extracted fields → standardized units → aggregated views).

Model (Coming next)

As the verified dataset grows, we build field baselines and early prediction. Scenario testing and simulation on top of your data, later.

Prove

Source-linked reports, dashboards, and alerts with evidence trails, so agronomists and investors can trace any figure back to field-level data.

Today: dashboards, reports, and evidence links. Roadmap: modeling, simulation, and ranked recommendations.

How data integrity works

Source-linked data

Every metric traces back to its original source: a lab report, sensor reading, or field entry. No orphaned numbers.

Timestamped ingestion

Each value is timestamped at capture, so you know when it entered the system and where it came from.

Anomaly flagging

Automated checks flag readings outside expected ranges. Review before they feed into reports or models.

Export-ready reports

Reports and exports include source references and lineage. Trace any figure back to its field-level source.

Trace a number

When you trace a metric, you see its source document, timestamp, QC flags, and the transformation steps used to produce it.

SampleOrganic carbon: 2.1 %

Origin: Lab report, Brookside Laboratories, sample #BL-4471
Timestamp: 2026-02-03 14:22 UTC
Validation: Anomaly check: passed (within expected range)
Included in: Soil Health Report → Section 2

Capabilities

Document extraction & normalization

Turn lab PDFs and photos into structured results, standardized across formats for aggregation and reporting.

Soil health dashboards

Live soil and field metrics, updated as new samples and sensor readings arrive.

Automated sustainability reporting

Generate investor- and regulator-ready sustainability reports without manual data assembly.

Field data capture

Mobile-friendly ingestion for agronomists and scouts working on-site.

Sensor & ERP integration API

Connect Blomso to weather stations, ERP, and accounting systems.

See it in action

Request a walkthrough tailored to your fields.

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