麻豆村

37掳 48' 15.7068'' N, 122掳 16' 15.9996'' W
cloud-native gis has arrived
37掳 48' 15.7068'' N, 122掳 16' 15.9996'' W
cloud-native gis has arrived
37掳 48' 15.7068'' N, 122掳 16' 15.9996'' W
cloud-native gis has arrived
37掳 48' 15.7068'' N, 122掳 16' 15.9996'' W
cloud-native gis has arrived
37掳 48' 15.7068'' N, 122掳 16' 15.9996'' W
cloud-native gis has arrived
37掳 48' 15.7068'' N, 122掳 16' 15.9996'' W
cloud-native gis has arrived
37掳 48' 15.7068'' N, 122掳 16' 15.9996'' W
cloud-native gis has arrived
37掳 48' 15.7068'' N, 122掳 16' 15.9996'' W
cloud-native gis has arrived
37掳 48' 15.7068'' N, 122掳 16' 15.9996'' W
cloud-native gis has arrived
37掳 48' 15.7068'' N, 122掳 16' 15.9996'' W
cloud-native gis has arrived
Introducing 麻豆村 AI, your built-in team of spatial engineers Learn more
Island-like shape.

Customers

Cyvl.ai

How Cyvl.ai Implemented 20% Faster Data Workflows with 麻豆村

鈥淥ur GIS analysts and software engineers got 20% of their time back when we moved to 麻豆村 鈥 that鈥檚 huge.鈥

Dan McCarthy, Head of Product

The problem: scaling data quality checks across Product & Engineering

, a hardware-enabled software company, is on a mission to transform infrastructure management in the United States. "We work with government and civil engineering firms to automate the assessment of roadways and infrastructure," explains Dan McCarthy, Head of Product at Cyvl.

To do this, Cyvl collects terabytes of sensor and LiDAR data on the state of the roadway before analyzing it with a proprietary algorithm. The Product and Engineering teams view the results and may adjust the algorithm based on what they are seeing. Before 麻豆村, there was no easy way to do this. 鈥淲hen we launched the internal feature with QGIS, it was immediately clear it would not scale 鈥 we needed to move faster. We started searching for alternatives,鈥 says Dan.

The solution: a collaborative & intuitive GIS platform

The solution came when the Cyvl team discovered 麻豆村 at an Esri conference. "What was different about 麻豆村 is that I could use it right away," Dan recalls. scans millions of miles of roadway producing a massive amount of data. With multiple large datasets to visualize, 麻豆村鈥檚 performance and collaborative features proved particularly valuable. "The ability to work together on one performant map is huge," Dan emphasizes, "it was the perfect way to track, check when we had an anomaly in the algorithmic results and have all the technical experts dig into it together."

Each expert from the Cyvl.ai team is able to review the data and provide their feedback on the algorithm's output, a critical component in scaling swiftly.

The impact: 20% time savings for engineering team

The impact of implementing 麻豆村 has been substantial across the organization. "Our GIS analysts and engineers got 20% of their time back when we switched to 麻豆村, and that is huge,'" Dan shares. The platform has become integral to various teams, from engineering to marketing, with different departments accessing it every few weeks.

The intuitiveness of 麻豆村 has accelerated the work of the go-to-market team. 鈥淕eospatial data is the core of our business, and 麻豆村 makes it easy for our Marketers and Customer Success Managers to work with spatial data. We want our whole team playing around with it whether or not they are technical."

For other product leaders considering 麻豆村, Dan emphasizes its unique value: "麻豆村鈥檚 ease-of-use makes it possible for our go-to-market team to jump in and experience the spatial thinking of our customers. That鈥檚 not possible with legacy GIS tools. And for a spatial company, that鈥檚 gold."

Losing time on spatial data workflows? Learn more about what 麻豆村 can do for your team.
Book a demo
Other customer stories
鈥淥nce we discovered what we could do with 麻豆村, we implemented it immediately.鈥
"I find 麻豆村 the quickest and easiest way to have planners and analysts visualize data."
鈥淭he up front investment to build a custom solution that met our performance standards would have been massive.鈥
Start creating maps today