| Name | Title | Contact Details |
|---|---|---|
Yoryos Yeracaris |
VP Intellectual Property | Profile |
Glance Technologies is the owner of Glance Pay and Glance PayMe, a pair of complementary smartphone payment applications that enable merchants to provide their customers with fast secure payments, digital rewards, and a better customer experience.
Neudesic, LLC is a Irvine, CA-based company in the Computers & Electronics sector.
Minfy Technologies is a Cloud Native System Integrator helping enterprises, start-ups and fast-growing businesses navigate digital journeys leveraging cloud technologies. We assist our customers in accelerating Digital Transformation, Cloud Adoption and Innovation. Our transformative services include Cloud Consulting, Migration & Legacy Modernisations, Cloud-Native Application Development and DeepTech implementations while offering reliable and world class 24x7 managed services.
Yaana Technologies is a Milpitas, CA-based company in the Computers and Electronics sector.
Lattice is a data intelligence company transforming “Dark Data”, such as unstructured text, into high quality structured data for use by traditional data analysis tools. Lattice was founded by Chris Re (Stanford, MacArthur Genius Award winner) and Mike Cafarella (co-creator of Hadoop). Lattice is commercializing DeepDive, which was developed at Stanford by our founder Chris Re for over 6 years with $20M in funding from DARPA and others. Our product has already been successfully deployed in the fight against human trafficking (as featured on CBS News 60 Minutes) as part of the DARPA/Memex project. Our platform reads unstructured media and converts it into structured data that can be used by traditional data analysis tools. We use advanced machine learning techniques, coupled with a rigorous engineering approach, to outperform human readers in many fields including scientific, insurance and government applications. We’re hiring! Please check out our engineering jobs at https://jobs.lever.co/lattice to learn more. We are looking for people excited to learn more about machine learning, be part of the initial team in a startup environment and wanting to work hard to solve really interesting and important real world problems.