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Wovenware Named to Inc. Magazine’s Ranking of Fastest Growing Companies

By on August 16, 2018

SAN JUAN – Wovenware, a provider of artificial intelligence (AI)-based services, was named to the Inc. 5000 list of fastest-growing companies for the fourth time.

The Puerto Rico-based software company was ranked 2,141 among 5,000 private companies judged based on Inc. Magazine’s criteria for revenue growth when comparing 2014 to 2017. During that period, the company grew by 207%, adding clients in industries such as healthcare, government and financial services.

To qualify for the Inc. 5000 ranking, companies must have been founded and generating revenue by March 31, 2014. They had to be U.S.-based, privately held, for profit, and independent—not subsidiaries or divisions of other companies—as of Dec. 31, 2017. The minimum revenue required for 2014 is $100,000; the minimum for 2017 is $2 million.

Two other Puerto Rico-based companies made the list as well. San Juan’s Connect Assistance–which provides roadside and home assistance services via car dealerships and rental companies, insurance companies and memberships–ranked 816.

AeroNet, a telecom service provider based in Guaynabo, delivers hybrid technology and internet services through microwave antennas and optical fiber. It ranked 4,932.

Wovenware develops applications for organizations “needing to re-engineer their systems and processes to increase profitability, realize efficiencies and seize new market opportunities,” according to the company.

“We’re committed to continuing to build on this achievement and push the envelope in the development and delivery of innovative deep learning, machine learning, predictive analytics and chatbot applications that are improving the way people work and live,” reads a statement by Wovenware’s CEO and co-founder, Christian González.

The company was recently selected by the Puerto Rico Science, Technology & Research Trust to develop an AI-based machine learning solution that will automate the identification and classification of Aedes Aegyptis to control the mosquito population and stem the spread of Zika, dengue and chikungunya, as well as for developing more effective insecticides.For the project, which is supported by a $50 million Centers for Disease Control (CDC) grant to the Science Trust’s Puerto Rico Vector Control Unit (PRVCU), Wovenware is creating “an advanced deep learning solution” that will use images of mosquitos and data sets over the next three-to-six months to “train an algorithm to automatically identify and classify specific species” to quickly analyze findings and “identify the root cause of resistance to insecticides, as well as disease spread and prevention routes.” 

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