Seer: Geospatial Intelligence Platform
Seer helps organizations in sectors such as energy, logistics, and government manage spatiotemporal datasets. It is designed for teams that need to analyze satellite imagery and sensor data without duplicating large files.
At a glance
- Category
- Data & Analytics
- Best for
- 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.
- Key use cases
- Emergency Response, Supply Chain Monitoring, Infrastructure Risk Assessment, Satellite-Based Monitoring
- Official website
- seer.ai
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
Allows querying and sharing of data without duplication or the use of traditional ETL pipelines.
Designed to enrich parcels of land with information through spatial analysis.
Uses SAR satellite data to monitor changes on the ground and provide automated alerts.
Compares overlapping subscription data products to identify differences in location or attributes.
Technology used to access, transform, and harmonize data from various geospatial sources.
Provides a semantic ontology to connect data sources for human discovery and AI system input.
Use Cases
Processing aerial imagery during disasters to help identify safe routes and allocate resources.
Tracking global commodity flows and infrastructure disruptions using integrated satellite and trade data.
Monitoring energy infrastructure and assessing operational risks through geospatial intelligence.
Tracking ground-level changes over time using SAR satellite data.
Best For
Pricing
Pricing was not clearly available from the provided evidence. Buyers should confirm current pricing on the vendor website.
FAQ
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.
It is designed for enterprise-level organizations and government agencies in sectors such as defense, energy, logistics, and insurance.
Yes, the platform is built to connect geospatial information to AI systems, including large language models (LLMs) and agentic AI.
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
