Description
Timeseer was founded in 2020, and since then, we have been working on the development of software to validate time series (sensor) data.
We apply 100+ modules, based upon conventional statistics and AI to identify errors in time series data, eg spikes, stale data, drift, conversion errors, etc. In water-specific use case we define which checks are relevant for the purpose of the data.
We add value by 1) reduction of data preparation time, 2) increase the quality of reports/digital twins/dashboards and analytics, and 3) enable efficient management of sensors.
We can handle hundreds of thousands of parameters in parallel, at high performance on common virtual machines. All human interactions in the software are logged to enable audits and to tailor the algorithms to the local situations.
Target audience
Owner of the product
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We provide our software to different stakeholders in the water sector. Water utilities and industires as end-users, sensor providers and consultants/experts in data driven solutions for end-users.
Software data
| 2021 | |
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| Commercial | |
| Start, including 1000 tags. Scale, including 5000 tags. Enterprise for large number of tags. |