Augurisk - Top Competitors & Alternatives

Item: GIST
Author: Verified Buyer

Looking for the best Climate Data provider for your business? Find reviews for Augurisk left by Datarade users, and compare Augurisk’s data products and performance to the most popular competitors and alternatives. Ambee, Caeli, The Climate Data Factory, and GIST are the top competitors and alternatives to Augurisk.

Top Alternatives to Augurisk

Top Competitors & Alternatives to Augurisk

Coverage

USA

+248

Based in India, with offices in Boston and New York, Ambee provides enterprise-grade climate data that integrates best-in-class sensors, satellites, radar, and models. Our high-resolution, temporally complete global datasets deliver actionable data for any geographic location worldwide.

Coverage

USA

+247

Caeli provides near realtime high resolution satellite data that provides insight into the air quality worldwide. With our algorithms we're able to give insights in 100x100m. Our worldwide data provides insight into the values of gas in finely meshed areas and also shows local sources of pollution.

We help organisation integrate fit-for-purpose enhanced climate data in their projects, services, and applications, to better anticipate climate risks in the context of strategic or regulatory requirements by leveraging the latest developments in climate science.

Sveaskog, Sweden's largest forest owner, has worked with GIST Advisory to perform a full impact value assessment, Integrated Profit and Loss. This has helped us understand impact and added value from our company and operations, and put us in the forefront in Swedish forestry sector. It has provided us with a powerful tool for sustainability reporting, based on scientific references. GIST is very professional and supportive and it is a great joy to work with their team.

Coverage

USA

+247

Strong data coverage and quality. Ended up licensing hourly and daily weather data in the United States. Strong historical coverage. Team was easy to work with and moved quickly to deliver the data in the format we needed.