Senseye provides an automated condition monitoring, diagnostics and prognostics product: a cloud-based software solution that enables industrial companies to predict machine failures months in advance. Its platform uses machine learning algorithms fed with data from Industrial IoT sensors to automatically identify impending equipment failure and reduce maintenance costs. Led by CEO Dr Simon Kampa, the company targets manufacturers seeking to lower maintenance costs and improve uptime. In November 2017 Senseye raised £3.5m in a Series A round to support growth. The company said it will use the capital to expand adoption of its product and to grow its research and development teams. The article does not disclose revenue or user metrics.

Total raised

$5M

Funding rounds

1

Latest round

Series A

Latest activity

Dec 2017