About

About AutoCEQR

What is the New York City Environmental Quality Review (CEQR) Process?

CEQR is a review process that assesses the potential impact of development projects (and other actions) on natural and built environmental resources within New York City. A full description of CEQR can be found here: New York City Environmental Quality Review - CEQR Basics

What is AutoCEQR?

AutoCEQR is a platform that ingests publicly available data and user-provided project inputs (e.g., BBL(s), Building Height, etc.) and returns standard analyses, data and maps as required by the CEQR Technical Manual. These products are professionally developed and report-ready.

Why use the AutoCEQR Platform?

The AutoCEQR team recognized that environmental consulting projects within New York City navigating the CEQR process require standardized analyses, data and reports that rely on spatial data analysis tools. Through leveraging programmatic automation tools, the AutoCEQR team works to reduce manual analyses, data and map production. Time spent on these tasks is shortened from weeks of work to a few minutes. By using these programmed automation tools AutoCEQR ensures:

  • Up-to-date Data

    • Our datasets are updated daily from publicly available sources. This ensures the product you receive has the most current data.

  • Accurate Analyses

    • Analysis methodologies prescribed in the CEQR Technical Manual are coded into our software. This eliminates human error and standardizes output.

  • Time/Cost Savings

    • The tasks the AutoCEQR platform automates may take a team of planners several hours, days or weeks to do manually - depending on the size and scope of the project. For a flat fee you can complete these tasks in less than 30 minutes in a professional and ready-to-use format.* Integrate AutoCEQR into your workflow for significant time and cost savings.

* AutoCEQR reserves the right for up to 24 hour delivery window

 AutoCEQR Team

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Matt Sloane - Co-founder

Matt Sloane is a professional urban and environmental planner with 10 years of experience in the private consulting sector. Matt received his Masters of Science in City and Regional Planning from the Pratt Institute as well as advanced graduate certificates in Geographic Information Science (GIS) and Urban Data Science from CUNY Hunter and New York University, respectively. Matt specializes in a number of technical skills, including technical writing, spatial data analysis, cartography, and computer programming, to facilitate real estate development projects in and around the New York City Area.

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Daniel M. Sheehan - Co-founder

Danny is a geospatial solutions engineer/data engineer/analyst with experience in technology, banking, environmental engineering and public health/epidemiology. Danny received his Masters in Geography/GIS from University at Buffalo as well as advanced certificates in Data Science from Columbia University and General Assembly. Danny specializes in geospatial data analysis, spatial data, mobility data, computer programming, project and product development/management and automation and process standardization. He also enjoys teaching Python for Geospatial at Pratt University.

 Columbia Startup Lab

AutoCEQR was accepted to the Columbia Startup Lab (CSL) as part of the September 2020 cohort. The CSL opened in June of 2014 and is a landmark of Columbia University’s longstanding spirit of innovation, collaboration, and entrepreneurship.

So far, CSL has been headquarters to more than 250 Columbia-founded startups and over 350 members, in industries from FinTech to Fashion to Food and more. CSL provides programming that is developed to the specific needs of resident startups in order to develop sustainable and successful businesses.

The CSL is part of the Columbia Entrepreneurship Innovation and Design group. More information on the CSL the Columbia Entrepreneurship Innovation and Design group can be found here.

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AutoCEQR is a proud member of the Columbia Startup Lab.

More information on the CSL the Columbia Entrepreneurship Innovation and Design group can be found here.