CLOs on the Move

Professional Testing (EMI)

www.ptitest.com

 
Professional Testing (EMI) is a Round Rock, TX-based company in the Software and Internet sector.
  • Number of Employees: 100-250
  • Annual Revenue: $10-50 Million

Executives

Name Title Contact Details

Similar Companies

PXL Vision

PXL Vision is a Swiss technology platform that provides AI-powered solutions for secure digital identity verification and the creation & management of trusted digital identities.

Bridges Transitions

Bridges Transitions Inc. is a Kelowna, BC-based company in the Software & Internet sector.

FileTek

FileTek develops, markets, and supports integrated data storage and access management systems that enable companies and government agencies worldwide to manage high volumes of fixed content data (petabytes) more efficiently and at lower costs than traditional approaches. For over 20 years, FileTek has delivered proven and stable solutions for the following business drivers: information lifecycle management (ILM) initiatives, regulatory compliance, digital preservation, active archives, and database extension systems. Founded in 1984 and based in Rockville, Maryland USA, FileTek specifically addresses the need for making very large volumes of information accessible to online users of mainframes, minicomputers, and networked workstations. In 1987, the company introduced its first product, Storage Machine/1, and pioneered the client/server-based, shared, and automatically managed storage server concept.

CML Insight

Imagine what you can do when you know how much of your initiatives contributes to your outcomes. Causal Machine Learning (CML) algorithms recommend how you can innovate your practices to achieve greater business outcomes. CML Insight develops solutions that fulfill this vision. Our development teams are based in the US and Sri Lanka and our team members have years of experience in Machine Learning in general and Causal Machine Learning in particular. We work with clients in Higher Ed, Healthcare and Fintech. Our solutions are already proving the value of Causal Machine Learning in these domains.