GENESYS Integrations

Graphlogic Conversational AI Platform consists on: Robotic Process Automation (RPA) and Conversational AI for enterprises, leveraging state-of-the-art Natural Language Understanding (NLU) technology to create advanced chatbots, voicebots, Automatic Speech Recognition (ASR), Text-to-Speech (TTS) solutions, and Retrieval Augmented Generation (RAG) pipelines with Large Language Models (LLMs). Key components: - Conversational AI Platform - Natural Language understanding - Retrieval augmented generation or RAG pipeline - Speech-to-Text Engine - Text-to-Speech Engine - Channels connectivity - API builder - Visual Flow Builder - Pro-active outreach conversations - Conversational Analytics - Deploy everywhere (SaaS / Private Cloud / On-Premises) - Single-tenancy / multi-tenancy - Multiple language AI

A Digital Thread is a graph whose nodes are elements in various enterprise repositories, tools, and version control systems, and whose edges are intra-model relationships within each tool and inter-model relationships created and managed by Syndeia between the nodes. Syndeia provides model transformation services to build the digital thread graph, such as drag-n-drop requirements from Jama or DOORS-NG to SysML, generate Simulink models and PLM part structures from SysML models, connect behavior elements in SysML to software code in GitHub, or track the development status of a sub-system in JIRA directly from SysML. Syndeia provides services to search, compare, and bi-directionally synchronize connected models in the digital thread, such as compare and sync changes in system architecture to PLM part structure, compare connected SysML and Simulink models, or sync changes in DOORS-NG requirements to SysML.

A Feature-based PLE Factory is much like a typical manufacturing factory except that it operates on digital assets rather than physical parts. To establish the factory, your organization creates a “superset” supply chain of digital assets that can be shared across the entire product line. These digital assets are equipped with all the feature options offered in the product line. The features chosen for each product are specified in the Bill-of-Features, then, a product asset instance is created by the Gears product configurator. The PLE Factory, based on Gears, becomes your automated production system for assembling and configuring the shared digital assets based on the features selected for each product variation, with the push of a button. With BigLever’s Gears, your organization has a common set of PLE concepts and constructs that augment your tools and assets, which allows engineering processes to flow cleanly and efficiently across the full lifecycle.

BigLever’s unmatched expertise in helping organizations achieve Product Line Engineering (PLE) success has enabled us to create a robust, repeatable path to organizational transformation: onePLE™. The name onePLE comes from the idea that we provide one all-inclusive packaged solution — everything you need to create, standup and successfully operate your Feature-based PLE Factory with highly trained and skilled PLE executives, managers, technical leaders, and practitioners. onePLE is available for organizations of any scale: an entire enterprise, a division, a business unit, or an organization responsible for the production of a single product line. The Asset Supersets (bottom left) are the shared digital assets for a product line, and no asset is duplicated.