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Ratings and Reviews 0 Ratings
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What is geothinQ?
GeothinQ provides an extensive database of property ownership information for all of the United States, allowing users to conduct detailed searches across multiple counties at once. With a simple click, you can explore various geographic characteristics such as landforms, flood-prone areas, and soil classifications, all within a single, unified platform, which simplifies land analysis significantly. Evaluate the potential advantages and drawbacks related to major land purchase decisions with precision. Optimize your due diligence process for land acquisitions with geothinQ, enabling you to thoughtfully weigh the obstacles and prospects associated with each piece of land. You can investigate land conditions by looking into flood zones, wetlands, and elevation metrics. Furthermore, uncover the accessibility of your location through tools that calculate driving and walking distances, and generate comprehensive maps that highlight every commercial and retail establishment along with their corresponding logos for better recognition. By utilizing geothinQ's cutting-edge resources, you can make well-informed real estate choices that are in line with your long-term objectives. This approach not only enhances decision-making but also fosters a deeper understanding of the real estate landscape.
What is SearchLand?
We specialize in converting property firms into data-centric organizations, enabling them to make better-informed choices about land and real estate by providing access to essential insights. Users can quickly verify land ownership for both commercial and residential properties. With a database encompassing over 25 million titles, we account for more than 85% of all land across the UK. Our ownership tool facilitates the identification of all publicly registered land and offers a concise summary of all parcels controlled by a specific corporation. Furthermore, we provide detailed insights regarding the length of ownership for each plot. The process of conducting sales analysis has been simplified significantly with SearchLand, which allows users to promptly assess both historical and current market values for various property types throughout England. This data, obtained from the Land Registry, includes sales records that extend back to 1995. Additionally, we enrich this information by calculating the price per square foot, which offers a more nuanced understanding of property valuations. Acknowledging the importance of planning applications in property due diligence, we make it easy to find planning history for the chosen site and its vicinity. By doing this, we equip property companies with the necessary tools to make strategic, informed decisions that are grounded in comprehensive data. As a result, our solutions not only streamline the decision-making process but also foster a greater understanding of market dynamics.
Integrations Supported
Additional information not provided
Integrations Supported
Additional information not provided
API Availability
Has API
API Availability
Has API
Pricing Information
Pricing not provided.
Free Trial Offered?
Free Version
Pricing Information
$118.55 per month
Free Trial Offered?
Free Version
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Company Facts
Organization Name
geothinQ
Company Location
United States
Company Website
geothinq.com
Company Facts
Organization Name
SearchLand
Company Location
United Kingdom
Company Website
searchland.co.uk
Categories and Features
GIS
3D Imagery
Census Data Integration
Color Coding
Geocoding
Image Exporting
Image Management
Internet Mapping
Interoperability
Labeling
Map Creation
Map Sharing
Near-Matching
Reverse Geocoding
Spatial Analysis