SoilMate

What SoilMate does

SoilMate is a geoanalytics-as-a-service platform that applies AI models to satellite imagery, remote sensing data, and tractor-mounted video to deliver land analysis through a self-serve web portal and API. Founded in 2021 in Warsaw, Poland, and operating as a brand under Quantum, the company offers eleven analytical models organized into three categories: agriculture (NDVI, Crop Type, Plot Boundary, Blooming Index, Moisture Index, Stone Detection), forestry (Deforestation/Afforestation detection and Net Forest Carbon Sequestration for CDR certification), and general environmental use (Basic Objects detection on SkySat imagery, LandUse/LandCover classification, and Oil Leak Detection via temporal anomaly analysis). Underlying capabilities include computer vision on satellite and video data, anomaly detection, and predictive analytics, with each model producing structured outputs such as raster probability maps, polygons, and GPX files.

The platform's go-to-market is product-led and API-first: users define an area of interest, request analytics, and receive visualization reports in three steps, with no specialized software installation required. Monetization is purely usage-based, priced per square kilometer (or per acre/hectare for Stone Detection) and ranging from $5 to $250 per unit depending on the analytical model, supplemented by a custom model development service for bespoke requests. Documented end customers include farmers and agricultural enterprises in Iowa and Ohio; channel reach extends to Canada through a stone-detection partnership with SAIRS, and SoilMate is a member of the European Association of Remote Sensing Companies (EARSC).

The company is small, with 1-10 employees and no disclosed funding rounds, revenue, or enterprise contracts. Its strategic posture is to serve distributed SMB and individual users via self-serve usage pricing while pursuing institutional positioning in carbon markets and remote sensing industry working groups. Pricing and customer evidence indicate a very early commercial stage, with no public revenue or ARR data available to substantiate scale.

Name

SoilMate

Legal name

SoilMate

Website

https://soilmate.ai

Company type

Private

Founded year

2021

Operating status

Operating

Headcount range

1–10 employees

Short description

SoilMate is a Warsaw-based geoanalytics-as-a-service platform that uses AI and remote sensing to deliver satellite and video-based land analysis (agriculture, forestry, environmental monitoring) via a self-serve web portal and API, priced on a usage basis.

Ownership category

akta.pro rank

Product category

Geospatial Analytics Software

NAICS

Support Activities for Crop Production (11511), Geophysical Surveying and Mapping Services (541360)

SIC

Agricultural Services (700), Oil & Gas Field Exploration Services (1382)

akta.pro primary industry

Satellite Imagery & Remote Sensing Geospatial Platforms (BPAMANAM)

akta.pro secondary industries

Satellite Imagery & Monitoring Platforms (AFAAAFAI), Nutrient Management & Fertility Optimization Analytics (AFABAMAJ)

Keywords

• Geospatial analytics
• Remote sensing
• Satellite imagery analysis
• Precision agriculture
• Environmental monitoring

Headquarters

HQ city

Warszawa

HQ country

Poland

HQ region

Europe

Markets served

GTM type

B2B

Offering type

Software

Cost components

Technology or R&D, Infrastructure, Personnel, Marketing or Sales, Operations

Revenue model

1. Usage-based Analytics Requests: Revenue generated by charging users solely for the requests they make, considering the size of the analyzed area. Users pay per square kilometer or per acre depending on the specific analytics model used. This consumption-based model aligns cost with usage and provides flexibility for varying project sizes.
2. Custom Model Development: Revenue from developing custom AI models tailored to meet specific analytics needs not currently offered in the standard service. This premium service provides bespoke solutions for unique analytical requirements.

Pricing tiers

Go-to-market motion2 records

Distribution channels3 records

Marketing channels4 records

Core offering

SoilMate is a geoanalytics-as-a-service platform that uses AI and remote sensing satellite data to deliver geospatial analysis of land areas. Users define an area of interest, request analytics from a catalog of 11 specialized AI models covering agriculture, forestry, and environmental monitoring, and receive data visualization reports. The service is accessible via a browser-based portal and full API for programmatic integration, with pricing based on the size of the analyzed area.

Product overview

SoilMate is a geoanalytics-as-a-service platform powered by AI and remote sensing data, accessible via web portal and API. The platform consists of eleven analytical models across agriculture (NDVI Index, Crop Type, Plot Boundary, Blooming Index, Moisture Index, Stone Detection), forestry (Deforestation/Afforestation Detection, Net Forest Carbon Sequestration), and general use cases (Basic Objects, LandUse/LandCover, Oil Leak Detection). The three-step workflow enables users to define an area of interest, request analytics using out-of-the-box AI tools, and receive data visualization reports.

Differentiator

Problem solved

Functional benefit

Products and services

• NDVI Index Vegetation health assessment tool that evaluates germination, growth, weed/disease presence, and field productivity using the Normalized Difference Vegetation Index on satellite imagery. Designed for farmers, agronomists, and agricultural enterprises monitoring crop conditions.
• Crop Type Detection service that identifies types and locations of crops grown (Corn, Soybeans, Fallow/Idle Cropland, Developed Forest, Grassland/Pasture) and calculates crop area for each type. Used by farmers and agricultural analysts to map cultivated areas.
• Plot Boundary Agricultural field boundary detection model that identifies field edges during growing seasons (summer: June 1-August 31; winter: November 1-March 1) and tracks changing boundaries year to year.
• Blooming Index Calculates intensity of white blooms on trees and flowers for pollination task planning and tracking of annual flowering cycles.
• Moisture Index Determines topsoil moisture levels for areas with vegetation, categorizing water stress as no stress, low stress, high stress, or drought conditions. Outputs raster pixels colored by moisture level.
• Stone Detection Video footage analysis model that identifies and locates stones from tractor camera footage, assigning GPS coordinates and detecting stones from approximately 15 cm to 40 cm. Outputs GPX files compatible with Garmin.
• Deforestation, Afforestation Detection Pixel-by-pixel optical data segmentation model that compares forest cover between two dates and classifies areas as clear-cut or not. Maximum area 1000 sq. km, minimum 2 sq. km.
• Net Forest Carbon Sequestration Forest carbon analysis model that calculates net carbon sequestration differences between years, supporting carbon removal certification (CDR) with polygon outputs and pixel-level difference maps.
• Basic Objects High-resolution object detection model operating on SkySat Scene imagery at 0.3-0.5 m per pixel, identifying Buildings, Trucks, Cars, Aircraft, Railway Vehicles, Vessels, Boats, and Engineering Vehicles across 36 sq. km scenes.
• LandUse/LandCover Land classification service that categorizes terrain into Water, Trees, Flooded vegetation, Crops, Built Area, Bare ground, Snow/Ice, Clouds, and Rangeland. Used to monitor temporal dynamics of landscapes.
• Oil Leak Detection Temporal anomaly-detection model identifying persistent surface/near-surface hydrocarbon contamination through moisture patterns. Outputs a leak probability raster (0-1 per pixel) and vectorized candidate leak polygons with probability, earliest detection date, persistence, and peak anomaly magnitude.
• Custom Model Development Professional services offering that develops custom AI models tailored to meet specific analytics needs not covered by the standard service catalog.

Quantifiable outcome

• 3 steps to get geospatial analysis results
• +2 more outcomes

Named customers2 records

Segments3 records

Ideal customer profiles4 records

Technology focussed Yes

API detail

Has API

Yes

API docs

API detail

Core technology

AI maturity

App detail

AI capability7 records

Feature11 records

Partnerships

Two partnerships are on record, tiered core.

• EARSC (European Association of Remote Sensing Companies)coreStrategic or Co-development PartnerSoilMate became a member of EARSC, the European Association of Remote Sensing Companies. The SoilMate team has joined the Carbon Removal and Forest Management working groups, indicating active participation in industry development initiatives. This membership supports the company's development of remote sensing in Europe.
• SAIRScoreChannel Partner/ Reseller/ DistributorCanadian partner SAIRS integrates Stone Detection capability into their services. Ordering Stone Detection through SAIRS streamlines the process for Canadian customers, making acquisition of this analytics service easier and more efficient.

Scale indicators1 record

Recent moves6 records

Expansion highlights5 records

Direct peers

• Sentinel Hub (Sinergise): Sinergise's Sentinel Hub is a cloud-based platform offering turnkey satellite imagery analytics with APIs and ready-made models for agriculture, forestry, and land monitoring — overlapping directly with SoilMate's geoanalytics-as-a-service model across virtually every analytical use case (NDVI, LandUse/LandCover, deforestation, etc.).
• Planet Labs: Planet operates a daily-cadence satellite constellation and increasingly offers derived analytics products (Planet Insights, Basemaps) alongside its imagery feeds. Its vertically integrated platform competes with SoilMate for the same agricultural and forestry monitoring customers through both data and analytical layer offerings.
• PrecisionHawk: PrecisionHawk provides drone and satellite-based remote sensing analytics for agriculture, forestry, and infrastructure — competing in essentially the same customer segments (farmers, agronomists, forestry managers) with comparable crop health, land classification, and asset monitoring capabilities as SoilMate.
• Taranis: Taranis delivers AI-powered precision agriculture intelligence using aerial imagery and satellite data, with satellite-based field monitoring, crop health, and yield analytics — directly overlapping with SoilMate's NDVI, crop type, and plot boundary offerings for ag retailers and growers.
• EOS Data Analytics: EOS Data Analytics offers satellite-based monitoring for agriculture and forestry, including crop monitoring, NDVI analytics, soil moisture, and carbon tracking — covering a near-identical use case set to SoilMate and targeting similar agribusiness and forestry customers globally.
• CropX: CropX provides precision agriculture analytics combining soil sensors, satellite imagery, and AI for irrigation, crop health, and field management — competing with SoilMate's NDVI, moisture, and crop-monitoring tools for the same farmer and agribusiness customer segments.

Broad incumbents

• Maxar Technologies: Maxar operates high-resolution Earth observation satellites and offers derived analytics products (including those running on its imagery in partnership with platforms like SkySat). Maxar is a broad incumbent in remote sensing and offers overlapping capabilities to SoilMate via Basic Objects detection and similar high-resolution analytics.
• Google Earth Engine: Google's Earth Engine is a planetary-scale geospatial analysis platform providing petabytes of satellite imagery and analytical APIs — a broad incumbent alternative for organizations that could otherwise use SoilMate for vegetation, land cover, and similar analytics.
• Airbus Defence and Space (OneAtlas): Airbus operates high-resolution satellite constellations (Pléiades, SPOT) and offers analytics through OneAtlas and related platforms that compete with SoilMate's LandUse/LandCover, Basic Objects, and broader monitoring offerings for environmental and infrastructure buyers.

Emerging players

• Satellogic: Satellogic operates a high-revisit Earth observation constellation and exposes imagery and analytics via APIs, increasingly targeting agriculture, forestry, and environmental monitoring use cases that overlap with SoilMate's analytical catalog.

Market position

Strengths5 records

Weaknesses5 records

Competitive moat3 records

Key risks6 records

Key highlights7 records

Customer concentration

• Xx.com/soilmate_ai
• Facebookfacebook.com/soilmate.ai.analytics
• LinkedInlinkedin.com/company/soilmate-ai

Revenue estimate

Valuation estimate

Number of profiles

Profiles1 record

Funding overview

Funding rounds

Investors

Funding detail is available on the Subscription and Enterprise plan.Contact sales →

M&A

Investments

M&A and investment is available on the Subscription and Enterprise plan.Contact sales →

Frequently asked questions about SoilMate