Atera all-in-one platform IT management software with AI agents
Ideal for internal IT departments or managed service providers (MSPs)
Atera’s AI agents don’t just assist, they act. From detection to resolution, they handle incidents and requests instantly, taking your IT management from automated to autonomous.
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AI-First Supply Chain Management
Supply chain managers, executives, and businesses seeking AI-powered solutions to optimize planning, operations, and decision-making across the supply
Logility is a market-leading provider of AI-first supply chain management solutions engineered to help organizations build sustainable digital supply chains that improve people’s lives and the world we live in. The company’s approach is designed to reimagine supply chain planning by shifting away from traditional “what happened” processes to an AI-driven strategy that combines the power of humans and machines to predict and be ready for what’s coming. Logility’s fully integrated, end-to-end platform helps clients know faster, turn uncertainty into opportunity, and transform the supply chain from a cost center to an engine for growth.
A Raman spectra library with search and storage function.
Raman Data Search and Storage (RDSS) software was developed as an analytical tool for a fast and accurate identification of unknown minerals by comparison of their spectra with the indexed library of data. A search function was implemented to enable users to find a specific peak value. Using the asterisk character (*) as a placeholder for one or more unknown peak value(s), the software will return the best match(es). Besides the search utility by the Raman band positions, which was proven to...
A web-based workflow application for publishing environmental data
Atarrabi is a web-based workflow application used for preparing meteorological research data for persistent identifier registration. This software will not run out-of-the-box. Please visit our web site and contact us to learn more.
Open-source weather database system for storage of weather/water observations, forecasts, analysis fields, and hindcasts. includes loading program for GRIB files. Visit project website (http://wdb.met.no) for further information.
Please note: this project has now moved to http://wdb.met.no
Turn traffic into pipeline and prospects into customers
For account executives and sales engineers looking for a solution to manage their insights and sales data
Docket is an AI-powered sales enablement platform designed to unify go-to-market (GTM) data through its proprietary Sales Knowledge Lake™ and activate it with intelligent AI agents. The platform helps marketing teams increase pipeline generation by 15% by engaging website visitors in human-like conversations and qualifying leads. For sales teams, Docket improves seller efficiency by 33% by providing instant product knowledge, retrieving collateral, and creating personalized documents. Built for GTM teams, Docket integrates with over 100 tools across the revenue tech stack and offers enterprise-grade security with SOC 2 Type II, GDPR, and ISO 27001 compliance. Customers report improved win rates, shorter sales cycles, and dramatically reduced response times. Docket’s scalable, accurate, and fast AI agents deliver reliable answers with confidence scores, empowering teams to close deals faster.
GISpatialNet is a Java-based tool for mapping networkdata (nodes and edges between them) to spatial coordinates; reformatting network and spatial data together; and calculating spatial network measures.
Install by saving to c:\ drive and typing the following in a command line:
java -jar c:\GISpatialNet-0.9b.jar
A software to store, (PUT) meteorological data from complex free form text format to databases and and GET stored (and already loaded) data from databases using OPeNDAP protocol. Written using Java6, XSD, and C++. It support OPeNDAP clients thanks to
SPIDR (Space Physics Interactive Data Resource) is a distributed database and application server network, built to select, visualize and model historical space weather data. SPIDR is a web-application and a grid of data mining web-services.
The aim of the project is the creation of an multiuser, webenabled, datahandling, processing and visualisation tool for engineering data from the real word - with Datacollection, Charting, Mapping, Alerting, Messaging and Reporting capabilities .....
Dados Observados is a application to share Climatological data.
Climatological data, especially precipitation and reservoirs volumes measurements, are fundamental input to decision support software to natural resources managers.
GDS is a project to check generic measured earth science data. It is also an interactive database management system to store all data in MySQL-DB. GDS rules as project based management system with unlimited stations. Each station manages 20 sensors.
Metaquokka is a highly configurable xml editor, currently available as Gridsphere portlet. Besides the default format, there is suppoert for ESysXML, a simulation description scheme for a geodynamics framework. Supports Generic Mapping Tools rudimentary.
A project to display the health of local environment on maps.
Environmental data from mobile phones uploaded to a website will display CO2, VOC's, Temp. & atmospheric data & particulates.
Anonymous climate data will be publicly available.
OpenEco.org is home to the OpenEco Community providing free open source tools to track and compare energy usage & reduce greenhouse gas emissions. We're looking for developers to create new modules &/or mashups using our templates. http://www.openeco.or
This is a project designed to allow collaboration to build good, free software to poll, store, and present data obtained from different models of weather stations.
Obs-dm aims to provide a robust and reliable way to collect, analyze, and share observational data. It is being designed for extendability into other areas such as fisheries and habitat science.
This tool helps users for placing sensor nodes on smart highways and collecting data from the nodes. It optimizes the placement of sensor nodes on road, a critical issue that affects both the cost and detection capability of a sensor network.