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What is Sentieo?

Address the issue of information overload with our cutting-edge AI-powered research platform, which streamlines the search process, allowing you to dedicate more time to thorough analysis. Through the use of state-of-the-art natural language processing and automation, your research endeavors are significantly enhanced. Our collaborative Notebook feature promotes seamless teamwork, leading to a more integrated workflow among team members. By leveraging both linguistic and alternative data, you can uncover valuable insights that may be missed by others in the field. Effectively manage information overload as we sift through millions of data points to spotlight the essential information necessary for maintaining a competitive edge in various markets. Sentieo is crafted to assist you in uncovering alpha-generating insights from a wide array of sources, such as news articles, regulatory filings, market trends, historical data, documents, notes, financial fundamentals, and projections, ensuring your team remains interconnected throughout. With all your research tools brought together in one comprehensive workspace, Sentieo unveils insights that can substantially improve your team's performance and decision-making processes. Ultimately, the platform not only streamlines your research efforts but also provides strategic insights that drive success and innovation in your projects. By integrating advanced technology with user-friendly features, Sentieo empowers teams to navigate complex data landscapes with confidence and clarity.

What is Quiver?

The emergence of FinTech advancements, especially in the realm of commission-free trading, has greatly streamlined the management of personal investment portfolios, leading to a notable increase in the number of retail traders around the world. Over the past decade, alternative data has gained considerable popularity among professional investors, granting them access to unique data sources that significantly improve their decision-making capabilities. However, this data is frequently designed for institutional clients, making it less accessible to the average investor. Quiver addresses this disparity by allowing retail investors to harness the power of big data, providing them with actionable insights that are easy to understand and not yet scrutinized by conventional Wall Street analysts. This movement towards data democratization equips individuals with the knowledge necessary to make educated investment decisions, effectively leveling the playing field between retail and institutional investors. As more retail investors utilize such resources, the dynamics of the investment landscape are likely to evolve further.

Media

Media

Integrations Supported

Python

Integrations Supported

Python

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Free
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Sentieo

Date Founded

2012

Company Location

United States

Company Website

sentieo.com

Company Facts

Organization Name

Quiver Quantitative

Company Website

www.quiverquant.com

Categories and Features

Competitive Intelligence

Alerts/Notifications
Benchmarking
Competing Product Analysis
Keyword Tracking
Social Media Monitoring
Trend Analysis
Website Monitoring

Hedge Fund

Compliance Management
Contact Management
Investor Accounting
Investor Reporting
P&L Calculation
Partnership Accounting
Performance Analysis
Portfolio Analysis
Portfolio Management

Categories and Features

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