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Description
Curated.Media serves as an independent, self-service platform for programmatic media curation, designed to assist advertisers, agencies, and programmatic media buyers in efficiently constructing, managing, and activating tailored Private Marketplace (PMP) deals and inventory packages across various digital advertising channels. This platform provides users with access to a comprehensive library of curated PMPs while also enabling the creation of custom PMPs that integrate publisher first-party data, third-party audience segments, and contextually relevant inventory options like CTV packages or placements focused on performance, all aimed at achieving specific targeting and KPI objectives. By prioritizing control, transparency, and efficiency, it allows buyers to shape their supply, eliminate middlemen, and directly curate the inventory they utilize, thereby minimizing operational challenges and enhancing campaign effectiveness compared to traditional programmatic buys. The platform's features facilitate the layering of audience signals, the selection of inventory based on context or performance metrics, and the optimization of deals using data-driven insights, ultimately empowering users to make informed decisions and maximize their advertising impact. In this way, Curated.Media not only streamlines the media buying process but also fosters a more strategic approach to digital advertising.
Description
MPCPy is a Python library designed to support the testing and execution of occupant-integrated model predictive control (MPC) within building systems. This tool emphasizes the application of data-driven, simplified physical or statistical models to forecast building performance and enhance control strategies. It comprises four primary modules that provide object classes for data importation, interaction with real or simulated systems, data-driven model estimation and validation, and optimization of control inputs. Although MPCPy serves as a platform for integration, it depends on various free, open-source third-party software for model execution, simulation, parameter estimation techniques, and optimization solvers. This encompasses Python libraries for scripting and data manipulation, along with more specialized software solutions tailored for distinct tasks. Notably, the modeling and optimization tasks related to physical systems are currently grounded in the specifications of the Modelica language, which enhances the flexibility and capability of the package. In essence, MPCPy enables users to leverage advanced modeling techniques through a versatile and collaborative environment.
API Access
Has API
API Access
Has API
Pricing Details
Free
Free Trial
Free Version
Pricing Details
Free
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Curated.Media
Country
United States
Website
curated.media/
Vendor Details
Company Name
MPCPy
Country
United States
Website
github.com/lbl-srg/MPCPy
