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 convenational statistics and AI to identify errors in tiems eries data, eg spikes, stale data, drift, conversion errors, etc. In water specific use case we define which checks al relevant for the purpose of the data.

We add value in 1) reduction of data preparation time, 2) increase the quality of reports/digital twins/dashboards and analytics, and 3) enable efficient management of sesnsors. 

We can handle 100.000s 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

Water utilities, sensor suppliers, suppliers of analytics and digital twins

Owner of the product

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Actors, their roles and interactions

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
  • SaaS - Web application
Commercial
Start, including 1000 tags. Scale, including 5000 tags. Enterprise for large number of tags.

URL

http://water.timeseer.ai

Technology applied by the product

Data quality evaluation