AI TOOL PROFILE
Seer: Geospatial Intelligence Platform
- Data and Analytics
- Geospatial Intelligence
- Enterprise companies
- Government agencies
- Data science teams
- Geospatial analysts
Pricing
Pricing was not clearly available from the provided evidence. Buyers should confirm current pricing on the vendor website.
At a glance
- Best for
- Enterprise companies, Government agencies, Data science teams, Geospatial analysts
- Key use cases
- Emergency Response, Supply Chain Monitoring, Infrastructure Risk Assessment, Satellite-Based Monitoring
- Official website
- Visit seer official website
How AI is used
Seer provides a geospatial intelligence platform called Geodesic. It is designed to act as a virtual data layer, allowing users to query and share geospatial data from various sources without the need to move or copy the data into new pipelines.
The tool is aimed at enterprise-level users and organizations in fields such as defense, agriculture, and insurance. It supports the integration of satellite imagery, vector data, and sensor streams, standardizing them into a single layer.
It is built to support AI workflows, specifically integrating with large language models (LLMs) and agentic AI systems. The platform includes specialized tools for detecting surface changes and enriching parcel data.
Buyers should confirm if their internal technical capabilities align with the platform and evaluate whether their specific data sources are compatible with Seer's connection model.
Key Features
Virtual Data Layer
Allows querying and sharing of data without duplication or the use of traditional ETL pipelines.
Zonal Statistics Tool
Designed to enrich parcels of land with information through spatial analysis.
Surface Change Detection
Uses SAR satellite data to monitor changes on the ground and provide automated alerts.
Unmatched Data Tool
Compares overlapping subscription data products to identify differences in location or attributes.
Boson Data Mesh
Technology used to access, transform, and harmonize data from various geospatial sources.
Entanglement Knowledge Graph
Provides a semantic ontology to connect data sources for human discovery and AI system input.
Use Cases
Emergency Response
Processing aerial imagery during disasters to help identify safe routes and allocate resources.
Supply Chain Monitoring
Tracking global commodity flows and infrastructure disruptions using integrated satellite and trade data.
Infrastructure Risk Assessment
Monitoring energy infrastructure and assessing operational risks through geospatial intelligence.
Satellite-Based Monitoring
Tracking ground-level changes over time using SAR satellite data.
FAQ
What does Seer do?
- Seer provides a platform that creates a virtual layer over fragmented geospatial data, allowing users to query and analyze it without moving or copying the data.
Who is Seer designed for?
- It is designed for enterprise-level organizations and government agencies in sectors such as defense, energy, logistics, and insurance.
Does Seer support AI?
- Yes, the platform is built to connect geospatial information to AI systems, including large language models (LLMs) and agentic AI.
How does Seer handle data storage?
- Seer uses a virtual layer approach, which may reduce the need for data duplication during the analysis process.
Source category: Data & Analytics
Source subcategory: Geospatial Intelligence
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