Fracttal

Fracttal is a predictive maintenance and asset management software (CMMS/GMAO/EAM), 100% mobile, IoT enabled and fully cloud-based.

Business Model: SAAS

Revenue: $0

Employees: 51-200

Detailed Fracttal Information

Geographic Data

Fracttal headquarters map

Address:

City: Madrid

State: Madrid

Zip:

Country: Spain

Financial Info

Stage:

series a

Raised Last:

$5M

Raised Total:

$7M

Metrics

433,825Website Global Rank

117,665Website Monthly Traffic

Twitter Followers

Description

Fracttal offers intelligent maintenance and asset management software (CMMS/GMAO/EAM), that is 100% mobile and cloud-based. These tools allow companies to manage their maintenance in a more sustainable, secure, and efficient way that guarantees the integrity and continuity of their operations, as well as the safety of workers. Demonstrated improvements include reducing asset failures by over 25%, improving maintenance costs by at least 15% and increasing productivity by more than 35%, while also reducing accidents and operational risks. Fracttal, which counts companies such Acciona, Unilever, Iberostar, Veolia and FedEx, among its almost 1000 customers, directs its solutions to large multinationals and SMEs in various industry sectors, including manufacturing, facility management, energy, and transport in which it already has a significant presence. With its main solution, Fracttal One, companies can remotely manage all maintenance operations from any device and for any type of asset, including equipment, vehicles, machinery, and facilities. This intelligent tool, a leader in several of the world&s;s most prestigious rankings, facilitates real-time collaborative work between different work teams and integrates with any ERP. Fracttal One improves decision making, maximizes efficiency and extends the useful life of physical assets, while reducing incidents and unplanned downtime that can lead to delays, lost profitability, and accidents. Fracttal has also developed Predictto, an AI enabled predictive maintenance solution that allows companies to anticipate failure conditions with a high percentage of certainty. To do so, Predictto applies Machine Learning to bigdata, identifying the behavior of assets based on proprietary reliability and degradation models.

Contact Phone:

Contact Email:

Announced Date Company Transaction Money Raised
Announced Date Transaction Number of Investors Money Raised Lead Investors
4/2018 Seed Round $0 Scale Capital
Scale Capital
1/2016 Non Equity Assistance 1 $100k Start-Up Chile
Start-Up Chile
6/2021 Series A 2 $5.3M GoHub
Seaya Ventures
GoHub
Seaya Ventures
12/2014 Seed Round 1 $40k Start-Up Chile
Start-Up Chile
4/2018 Seed Round 1 $2M Scale Capital
Scale Capital
Announced Date Name Price

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