Average Ratings 0 Ratings
Average Ratings 0 Ratings
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
No
API Access
Has API
Yes
Integrations
Claude
Yes
Gemini
Yes
Grok
Yes
OpenAI
Yes
Perplexity
Yes
Python
No
Ubuntu
No
Integrations
Claude
No
Gemini
No
Grok
No
OpenAI
No
Perplexity
No
Python
Yes
Ubuntu
Yes
Pricing Details
Free
Free Trial
No
Free Version
Yes
Pricing Details
Free
Free Trial
No
Free Version
Yes
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
No
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
Yes
Chromebook
No
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
Yes
In Person
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
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