All BlueVectors
AppMaker to App Engine Conversion
Move your AppMaker apps to Google AppEngine
Use App Engine to build and deploy apps on a fully managed platform. App Maker data is stored in Cloud SQL, allowing you to build an App Engine app on the existing Cloud SQL databases tied to your App Maker apps.
Reference ArchitectureDialogflow Messenger with Autosuggestions feature
Prompt questions with auto suggest
Autosuggestions feature can be used in chatbots where users ask their own questions. Making it easier to find the information they are looking for, and reducing the instances where a chatbot would not be able to respond to a user.
CodeDocument AI Custom Parsers
Document AI Custom Parsers and Deployment Framework
Google Cloud’s Document AI is a powerful tool for text extraction but form types are limited to pre-built lending and identity parsers. We’ve created a number of custom parsers as well as extended the capabilities of existing parsers through the use of the generic form parser API. Through our experience with Document AI we’ve also created a hub-and-spoke python framework to ease deployment of these models.
CodeDocument AI Preprocessing
Document Preprocessing Solutions for Smooth Document AI Implementation
We've packaged several preprocessing solutions to enable Document AI for more use cases while enhancing overall parsing accuracy. There are three major preprocessors we offer - PDF conversion, corrupt file checks/repair and antivirus scanning.
CodeDocument Request Management Web Portal
Web portal for administrators and citizens to create, monitor, and manage document requests
Application to allow customers to submit and track requests and correspond with staff working on that request directly from the portal. Contains custom reporting capabilities allowing users to view reports from within the system and provide citywide reporting on turnaround-time by user, department, request or timeframe.
ApplicationFitbit Enterprise Solution
Managing and storing multiple users' Fitbit data through a secure pipeline, enabling the use of analytics to uncover procedural trends.
Enhancing the outcomes of medical procedures is an ongoing process of building off of best practices and using the best available tools. Through the use of Fitbits wearable devices, we are now able to provide hospitals and surgeons with objective data related to their patient’s health and wellness. We have created a Fitbit-GCP Enterprise Analytics Platform leveraging Kubernetes, BigQuery, Vertex AI, and Looker to uncover patient and procedural trends to help enhance best practices.
ApplicationVirtual Agent for Medical Devices
Improved Access to Medical Device Information to reduce call center volume and improve customer satisfaction
Leverage Google Dialogflow Chatbots and Virtual Agents to provide users with easier access to information related to their medical devices or other medical information.
ApplicationVisual Inspection - Medical Device Kits
Use Google's best in class Vertex AI suite to save on supply chain costs by streamline inspections and increase error prevention rates
This solution provides compliant, accurate and timely inspection for medical device kits, reducing the complexity and cost to serve by communicating defects early.
Application