VISE Description
Vise is a technology-powered asset manager that helps financial advisors build, manage, and explain personalized portfolios.
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VGG Image Search Engine
The VGG Image Search Engine (VISE) is an open-source software solution that enables visual searching through extensive image collections by utilizing image regions as queries. This software is crafted and sustained by the Visual Geometry Group (VGG) within the Department of Engineering Science at Oxford University. It is published under a license that permits limitless use in both academic research and commercial industries. To foster a dynamic open-source community around VISE, we actively invite contributions and participation in its ongoing development. Users can engage with the project by reporting bugs, enhancing documentation, introducing new functionalities, or refining existing ones through merge requests. The Visual Geometry Group commits to the continued development, maintenance, and support of VISE until at least November 2025. Furthermore, users are encouraged to share their questions or report any challenges they encounter with the VISE software via our GitLab issues portal, thereby helping us create a more robust platform.
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Integrations
Company Details
Company:
Vise
Year Founded:
2016
Headquarters:
United States
Website:
vise.com
Media
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Product Details
Platforms
Web-Based
Types of Training
Training Docs
Live Training (Online)
Webinars
In Person
Training Videos
Customer Support
Online Support
VISE Features and Options
Investment Management Software
Accounting Management
Benchmarking
Bonds / Stocks
Client Management
Commodities
Compliance Reporting
Data Import / Export
For Investment Advisors
For Investors & Traders
Fund Management
Modeling & Simulation
Payroll & Commissions
Performance Metrics
Portfolio Management
Risk Management
Stock Portfolio Management Software
Billing & Invoicing
Client Management
Data Warehousing
For Investment Advisors
For Traders
Order Management
Portfolio Accounting
Portfolio Rebalancing
Risk Management
Tax Management
Technical Analysis
Wash Sale Detection
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