Bunting Labs 🐦 No-code geospatial data pipelines

TL;DR Bunting helps developers import, store, and analyze geospatial data. We replace months of writing Python scripts with our drag-and-drop data importer.

Hi everyone! Brendan and Michael here to introduce Bunting Labs.

🗺 Problem

If you want to implement spatial data into your software, you need to use a spatial database. But, because spatial data is heterogenous, creating the ETL scripts, cloud infrastructure, and analysis pipelines to use it takes months—something we saw ourselves.

We spent a year trying to analyze real estate with AI, and the first three months were dedicated to building these data pipelines. We realized every company that wants to use spatial databases suffers from the same problems.

🔧 Solution

We handle the pipeline and the database for you. Behind the scenes we do all the leg work to work with spatial data so you can focus on building your product. For example, we automatically convert addresses in CSVs into a PostGIS table via geocoding. Here’s how managing spatial data on bunting would look like for you:

1. Upload any data file, and we’ll automatically recognize how it relates to the Earth. We currently support KML, CSV, GeoJSON, GeoPackage, and Excel.
2. We’ll save it to a managed PostGIS instance (on Amazon RDS) and give you SELECT permissions to your tables.

Coming soon: low-code spatial analysis tool and purpose-built spatial data labeling. Everything you need to build an app with spatial data.

👉 Ask

Do you work with spatial data and are willing to share your experiences? Shoot us an email at founders@buntinglabs.com, we would love to talk.

Do you work at a company that is working on implementing or wants to implement any spatial features? Email us at founders@buntinglabs.com, we would love to work with you to do whatever it takes to make your vision a reality!

💻 Open Source

Bunting is built on open source and sponsors development of mundipy, a Python framework for geospatial data.