Pagarba is a global supply chain automation and asset management technology company,
leveraging blockchain, AI & IoT,
to improve bottom lines, secure and track assets, maximize asset utilization,
and eliminate asset shrinkage and waste
Pagarba delivers innovative products and solutions that are transforming supply chain automation and asset management for any healthcare facility or banking organization. Our expertise in blockchain, security, IoT, healthcare and finance, and supply chain inventory asset management helps our customers deliver better care and experiences to their patients and clients. And it’s more secure and provides better efficiency at a lower cost.
Pagarba was incubated as a machine learning and blockchain concept back in 2013 by Darrick Sogabe and Peter Jamack, who met each other while working for Teradata.
Finally with the introduction of Chris Barden and Dustin Engle years later, the right group of minds, vision, experiences, talent, and will power helped form and build an innovative technology company with a special focus on providing Supply Chain Automation and Asset Management Platform Solutions to the Healthcare and finance Industries.
Based in San Diego and Atlanta, Pagarba has offices in the US – Charlotte, Los Angeles, San Francisco as well as an office in Hong Kong.At the head of Pagarba, we have some of the most knowledgeable and experienced industry leaders, all dedicated to growing and adding value to our customers’ business in the most effective and analytical way possible.
Our team has worked at or for companies such as Teradata, Boeing, Microsoft, IBM, Accenture, EY, Cigna, Kaiser, Mayo Clinic, Dell, EMC, VmWare, Standard Chartered, Bank of America, JP Morgan Chase, TMobile, Verizon as well as for various US Federal and state Government Agencies.
We help execute and design strategies, implement and deliver deep knowledge in innovative products utilizing leading practices for blockchain, AI, machine learning, deep learning, NLP, IoT, IIoT, Devops, AIOps, cloud, data warehousing, big data technologies like Spark, Kafka, Hadoop, enterprise software, Bluetooth and radio frequency communications technology like LoRa, mobile applications, embedded systems and firmware and cryptography.