| Format | Example | Percentage |
|---|---|---|
| Format:lastName.firstName | doe.jane@rizing.com | Percentage:77% |
| Format:lastNameInitial.firstNameInitial | d.j@rizing.com | Percentage:17% |
| Format:lastNameInitialfirstName | djane@rizing.com | Percentage:3% |
| Format:firstNameInitiallastName | jdoe@rizing.com | Percentage:1% |
| Format:lastName-firstName | doe-jane@rizing.com | Percentage:1% |
| Format:lastNameInitial_firstName | d_jane@rizing.com | Percentage:1% |
Rizing Geospatial employee email verification for instant deliverability checks.
Rizing Geospatial delivers advanced GIS solutions for the transportation sector, integrating Linear Referencing Systems and Esri Roads and Highways data. The firm specializes in Straight Line Diagramming through its Road Analyzer tool, Mobile LiDAR integration, and custom spatial software development.
Based in Stamford, Connecticut, the company was founded in 1992 and now employs between 500 and 1,000 professionals.
Revenue estimates place Rizing Geospatial at $500 million to $1 billion annually.
Key leaders include Ryan Hanson, GIS Consultant; Mark Haberle, Senior Project Manager; Amelia Dieken, GIS Consultant; Clayton Hunt, LiDAR Lead Analyst; Denis Oliva, Sr. Software Engineer/Software Manager (Remote); Nick Nielsen, Senior GIS Analyst; and Barrett Wilson, Geospatial Analyst.
Rizing Geospatial uses 6 email formats across its organization. The most common pattern is lastName.firstName (e.g., doe.jane@rizing.com), used in approximately 77% of work addresses.
Rizing Geospatial currently employs over 500-1000 people from United States, with a head office in Stamford, Connecticut, US.
SignalHire complies with the General Data Protection Regulation (GDPR). SignalHire follows GDPR requirements, including but not limited to rights of data subjects to access, correct, or delete their personal information and supports the right to be forgotten.
SignalHire is CCPA-compliant and provides California residents the right to know, access, opt out, and request deletion of their personal data.
