Seetalabs

Seetalabs applies the power of big data, cognitive computing, and artificial intelligence (AI) in its core product, the RONIN AI Platform®. The RONIN AI Platform® uses its proprietary technologies to add context to data and incorporates self-learning capabilities to deliver turnkey solutions to major global corporations in the power, energy, metal manufacturing, insurance and transportation industries.

Founded in 2020, Seetalabs is a worldwide distributed startup, headquartered in Turin (Italy), and serves its customers through online pipelines and offline contact nodes in Italy, Japan, France, Australia, Israel, Colombia and India.

Since its inception, Seetalabs has focused in developing cutting edge solutions to solve important energy related challenges and reliability

Year of establishment:

2020

Number of employees:

FROM 3 TO 9 EMPLOYEES

Annual turnover:

Under 250.000 Euro

Reference year of turnover:

2021

Export turnover:

Less than 75.000 Euro

Activities:

PRODUCTION OF SOFTWARE, IT CONSULTANCY AND RELATED ACTIVITIES

Consultancy in the information technology sector


One year of Seetalabs. From CERN to Tesla Institute and Feralpi. Our pathway [as startup] to digital and energy transformation


Brian Sparling Answers DeepBrains Questions | Can knowledge sharing bridge industry-academia gap? We love to share insights from tech leads about the future of energy, sustainability and technology. DeepBrains is a brand new initiative from Seetalabs that synthesizes best and latest information through fast and short video-based interviews of industry professionals on global scale. More info about Deepbrains: https://seetalabs.com/deepbrains

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Company:

Seetalabs srl

Address:

Via Revel 6

City:

Torino (TO)

Zip Code:

10121

E-commerce:

Social media:

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RONIN AI allows service engineers and asset managers a quick review of their asset management decisions. This assists them in prioritizing actions and recommendations for the best allocation of budget and resources.

Ronin AI provides health index score for each testing date of the same asset. This allows the asset manager to use the trend analysis feature for individual asset or for comparison purposes.