Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
GeminIQ operates as a primary research tool that extracts financial information straight from unprocessed SEC EDGAR filings, eliminating the need for any intermediary aggregators. This ensures that each figure can be traced back to its original XBRL tag, providing users with the exact data as reported by the company instead of a simplified summary.
Key functionalities include access to Financial Statements with a history of over 17 years of quarterly and annual filings; more than 50 Calculated Metrics such as ROIC, Free Cash Flow Per Share, and Altman Z-Score derived from the tagged filing data; the ability to create Custom Tables for developing reusable templates using specific line items; Interactive Visualizations for tracking any metric over time; an Advanced Screener featuring over 100 filterable metrics along with built-in presets like Buffett-Style and Magic Formula; Custom Watchlists; tracking of Insider Transactions via Form 4; data on Institutional Ownership from 13F filings; and Price Variance/Earnings Reaction Heatmaps that illustrate historical stock performance following filings. Furthermore, new filings are analyzed and made available within one business day after they are submitted to EDGAR, ensuring users have access to the most current information.
Description
DataOS, the flagship product of The Modern Data Company, transforms the way organizations manage, unify, and activate their data at scale by converting raw information into governed, reusable, and AI-compatible data products that enhance insights and decision-making without hindering team productivity. This innovative system provides a flexible, open framework that integrates seamlessly with existing data infrastructures, enabling businesses to find and utilize reliable data products equipped with comprehensive policies, clear ownership, traceability, and a universal semantic layer that standardizes metrics and definitions across various domains. By minimizing complexity and hidden expenses, DataOS accelerates the journey to realizing value from data. Additionally, it offers powerful discovery and search functions, allowing users to navigate through a collection of curated, business-ready data products organized by domain or use case, while also incorporating global metrics and lifecycle management to track the usage, performance, adoption, and return on investment of data products throughout their entire lifecycle. As a result, organizations can make more informed decisions faster, ultimately leading to improved business outcomes.
API Access
Has API
No
API Access
Has API
Yes
Screenshots View All
No images available
Integrations
Amazon Web Services (AWS)
No
Angular
No
Databricks
No
Google Cloud Platform
No
Jupyter Notebook
No
Microsoft Azure
No
Microsoft Excel
No
React
No
Salesforce
No
Snowflake
No
Integrations
Amazon Web Services (AWS)
Yes
Angular
Yes
Databricks
Yes
Google Cloud Platform
Yes
Jupyter Notebook
Yes
Microsoft Azure
Yes
Microsoft Excel
Yes
React
Yes
Salesforce
Yes
Snowflake
Yes
Pricing Details
$29/month billed annually
Free Trial
Yes
Free Version
Yes
Pricing Details
No price information available.
Free Trial
No
Free Version
No
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
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
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)
No
In Person
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
Yes
In Person
No
Vendor Details
Company Name
GeminIQ
Founded
2025
Country
United States
Website
www.geminiq.com
Vendor Details
Company Name
The Modern Data Company
Founded
2019
Country
United States
Website
www.themoderndatacompany.com
Product Features
Product Features
Data Management
Customer Data
No
Data Analysis
No
Data Capture
No
Data Integration
No
Data Migration
No
Data Quality Control
No
Data Security
No
Information Governance
No
Master Data Management
No
Match & Merge
No