Your TPL Legal Team is experienced in a wide range of software technologies, including but not limited to:
Apparatus and associated methods relate to providing an optical display apparatus that can be used to make a light source display variable apparent sizes in response to light intensities emitted by the light source. In
Apparatus and associated methods relate to a side-mounted field-installable indication module (SMFIIM) configured to reflect a status of a manufacturing area (e.g., a status of a machine, status of a light curtain). In an illustrative
Apparatus and associated methods relate to generating persistent transaction records (PTR), each containing fields/parameters determined by a template that gets stored on a centralized blockchain to identify a certified transaction associated with a particular Certified
Apparatus and methods relate to a pneumatic compression therapy device configured to suggest content to the patient based on a determined disease state, the content pertaining to suggested changes in lifestyle based on a standard
Apparatus and associated methods relate to generating a wiring schema with more than one safety device sharing at least one test signal through one or more external terminal blocks when the number of terminals required
Apparatus and associated methods relate to a risk trace matrix engine for managing database associations, in a quality management system (QMS), between risk mitigations and features of a system having a risk-based profile. In an
Various embodiments relate generally to dating/friendship finder application systems. An online and in-person gathering system which includes a method for tracking affinity and aversion between users by requesting individual user’s feedback on other users based
Apparatus and associated methods relate to dynamically managing quality of a sample in a public display space. In an illustrative example, a sample quality profile (SQP) may be generated in response to a sample update
Apparatus and associated methods relate to an inventory management system having a machine learning engine trained to (a) dynamically predict a demand amount of the inventory in response to a set of near-future data and
