Spacenus
Publisher DNA
What defines Spacenus?
AI intelligence is not yet available for Spacenus. The portfolio data below is up to date.
Portfolio
What does Spacenus ship?
Apps
1 app analysed
ISOBUS export enables direct compatibility with precision farming machinery.
- SOC mapping calibrates satellite imagery with lab data for carbon sequestration insights.
Single-market publisher, every app ships only to United States.
Based on 1 of 1 app with localized market data Β· last scanned .
Americas (1)
- United States1 / 1
Core markets (1/1 apps)
Rivals
Who does Spacenus compete with?
The rivals identified
Nemeses(1)
Fieldmargin is the primary nemesis due to its established market presence in digital farm mapping and direct integration with major machinery brands like John Deere.
Contenders(4)
Agworld competes through its strong emphasis on collaborative workflows and standardized reporting for professional agronomists and farmers.
PastureMap+ targets the livestock segment of precision agriculture, competing for the attention of farmers managing grazing and animal performance.
This app competes by focusing on the financial health of farming operations, overlapping with Spacenus's goal of improving farm profitability.
Sirrus competes by offering advanced recommendation editors for fertilizer and chemical applications, targeting the technical side of precision farming.
Same space(4)
Farmbrite is a direct peer offering an all-in-one platform that combines livestock management with farm accounting and scouting.
This app competes by focusing on hardware-connected animal performance tracking, a key sub-sector of precision agriculture.
Conservis competes by providing map-based work execution and cost tracking, directly addressing the operational efficiency goals of Spacenus.
This app shares the same space by focusing on livestock-specific management and market price integration for ranching operations.
New entrants(2)
While currently focused on developer tools, its AI-powered approach to complex analysis represents a potential shift in how agricultural data could be modeled.
This newcomer is a direct threat due to its use of natural language querying and modern soil analysis tools, which modernize the user experience.