| Name | Title | Contact Details |
|---|---|---|
Peter Abreu |
Chief Technology Officer | Profile |
As Strategic Technology Advisers, we provide custom strategy, solutions & support in technology and cyber resilience. Our goal is to reduce your IT risk and enable you to focus on growth.
VERITE GROUP is a Sterling, VA-based company in the Computers and Electronics sector.
Our product, Launch Pad, is the world`s first interactive software tool that helps farmers plan their operations specific to seeding, spraying and harvest. It differs from other agtech solutions in the market as it is the only product focused on the cohesive movement of equipment in the field. It creates a set of path plans, custom to each farm, that removes unnecessary travel, easily integrate into modern day GPS systems and requires no extra hardware. Our model has been developed to support farms of all sizes using any brand(s) of equipment.
Housecalls Network is a Eden Prairie, MN-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.