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Showing 4 open source projects for "iot"
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The Most Powerful Software Platform for EHSQ and ESG ManagementChoose from a complete set of software solutions across EHSQ that address all aspects of top performing Environmental, Health and Safety, and Quality management programs.
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Failed Payment Recovery for Subscription BusinessesFlexPay’s innovative platform uses multiple technologies to achieve the highest number of retained customers, resulting in reduced involuntary churn, longer life span after recovery, and higher revenue. Leading brands like LegalZoom, Hooked on Phonics, and ClinicSense trust FlexPay to recover failed payments, reduce churn, and increase customer lifetime value.
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Aerospike Node.js Client
Node.js client for the Aerospike database
Aerospike Node.js Client is the official Node.js driver for Aerospike, a high-performance NoSQL database optimized for real-time applications. It provides low-latency access to key-value stores and supports advanced data structures for AI, financial, and IoT applications. -
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TreeGraph
Information Manager(split/analyze/compare/combine).
For Homepage, Blog, Family Tree, Database, C#|hjt|js|chm Editor. Convert hjt2xml, (c#)cs2xml, chm2xml, js2xml, xml2cs, xml2js, xml2hjt, cs2hjt, hjt2cs, cs2chm, hjt2chm. IE/Opera/Firefox/PocketPC supported. -
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This project exists as a central meeting place for those wishing to share in-house developed applications and tools for local government (and related industries) in Australia.
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The project will integrate viable aspects of the semantic web technologies for use with advanced Semantic SQLCLI based XML DBMS. The purpose of this project is develop a GUI Application for a Suite of ECM Services.
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SoftCo: Enterprise Invoice and P2P Automation SoftwareSoftCo Accounts Payable Automation processes all PO and non-PO supplier invoices electronically from capture and matching through to invoice approval and query management. SoftCoAP delivers unparalleled touchless automation by embedding AI across matching, coding, routing, and exception handling to minimize the number of supplier invoices requiring manual intervention. The result is 89% processing savings, supported by a context-aware AI Assistant that helps users understand exceptions, answer questions, and take the right action faster.
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