MonitorML

MonitorML - the machine-learning engine behind the Monitor API, which predicts field-level farming ACTIVITIES from remote sensing rather than static land cover: crop activity, tillage activity and cover-crop activity, detected per field and delivered programmatically through the Monitor API alongside the Measure API for greenhouse-gas quantification. Companion documentation covers per-practice detection accuracy, cover-crop detection and verification, and country-by-country availability. This is event-and-operation detection at parcel scale - what happened on a field and when - exposed as an API feed rather than as a report

Open buyer room →

Sample

Brickroad customers

Sample this dataset before you buy it.

Your sourcing agent asks Regrow and files the sample in your catalog — private to you.

Start 7-day trialNothing is charged until the trial ends.

Coverage

Universe, instruments and categories.

Industry: Application SoftwareAgricultural ServicesEnvironmental & Infrastructure Services
Instruments: equitiescommoditiescarbon_credits
Categories: AlternativeGeospatialESGSupply Chain
Regions: USEuropeAPAC
Sample tickers: DECTVANTRADMBGCHSGISMKC

Dataset card

Type: not stated
Format: API-delivered: JSON field-level activity predictions and practice-verification verdicts via the Monitor API, with the Measure API returning modelled greenhouse-gas outputs; keyed to field boundaries and country availability zones, with documentation, a customer portal and an accompanying science explainer
Volume: Company materials state roughly 1.4 billion acres under satellite-derived monitoring across the platform, with Sentinel revisit every 3-5 days. The MonitorML activity layer sits on a subset of that footprint bounded by the countries where Monitor is documented as available, so the operation-event archive is best estimated in the tens of millions of detected field-operations per season across the served countries, accumulating annually
Users: N/A in consumer terms - enterprise API and platform. Corporate record shows ~160 employees and reported revenue in the $11M range, implying an institutional client base in the low hundreds of brand, agribusiness, programme-developer and API accounts rather than a broad self-serve base
History: not stated
Update frequency: not stated
Growth: Active - current knowledge-base and API documentation maintained for Monitor and Measure, a 2025 PlanAI product launch, a venture-equity round in March 2025 per the corporate record showing $62.2M cumulative funding and ~160 employees, and ongoing named enterprise programmes with major food brands
Launched: Company founded 2016 as FluroSat and rebranded to Regrow in 2021 following the Dagan merger; the Monitor API as a named, documented product line is later, est. 2021-2023, launched as the API surface letting third parties consume MonitorML detections without using the full platform
Delivery: not stated
Entity mapping: not stated
Sample: not stated
Point-in-time: not stated
Licence: not stated

supplier index read from their site

Regrow has not added their own details yet. Not yet on file:

Dataset
Data dictionary
Coverage
Provenance
Rights & data handling