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About us

Knoema is a search engine for data seamlessly connecting public and private sources and making data discoverable and accessible to information workers. Knoema does for data what Google did for websites and the Internet overall. It makes it trivial to find data when you need it and make a story out of it.

The name derives from the combination of knowledge and the Greek word νόημα (noema), which stands for "what makes sense".

What does Knoema do?

Liberates data from databases and other data silos and incorporates directly into analyst workflow

Captures and grows internal knowledge capital

Makes data easy to access and use for analysis, research, or reporting

Knoema's search engine, unlike search engines such as Lucene or ElasticSearch, is designed for data and with the specifics of data in mind. The biggest challenge for traditional engines dealing with the data is that they were designed to handle vast amount of text and contextual information available.

Data consists mostly of numbers, and there is very little metadata available. Knoema solved that problem and is powerful enough to search through billions of time series in a fraction of second and deliver highly relevant results.

Over the years Knoema implemented hundreds of data portals for its customers. Every data portal provides its own, unique collection of data and insights with a set of data-driven tools for its users. Those data portals may vary from open portals accessible to everyone on the Internet (such as Open Data for Africa), to private portals for companies with a mix of private and public data available to their users.

In the process of implementing solutions for its customers, Knoema created the largest collection of public data and statistics on the Internet featuring about 2.5 billion time series (as of February 2017) from thousands of sources. This collection of data is growing every day and maintained by our highly experienced data team with unique expertise in dealing with the data from the diverse set of sources all around the world.

2.4B+ timeseries
1K+ topics
1K+ sources