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Average Ratings 0 Ratings

Total
ease
features
design
support

No User Reviews. Be the first to provide a review:

Write a Review

Description

Leverage Bravo to efficiently assess the memory consumption of your model and determine which columns can be eliminated for optimization. Additionally, Bravo allows you to export your metadata into VPAX files seamlessly. With Bravo, you can maintain the clarity and organization of your DAX code. It enables you to preview the measures that require formatting and conveniently process them using the DAX Formatter service. Bravo also assists in creating a Date table within your model, offering various calendar templates, options, languages, and holidays tailored for multiple countries. Alongside this, it can incorporate DAX measures that cover the most frequently used time intelligence calculations. Furthermore, Bravo provides customizable date templates and a template editor compatible with Visual Studio Code, allowing organizations to implement company-wide calendar standards through group policies, making the standardization process more straightforward than ever!

Description

Superb AI introduces a cutting-edge machine learning data platform designed to empower AI teams to develop superior AI solutions more efficiently. The Superb AI Suite functions as an enterprise SaaS platform tailored for ML engineers, product developers, researchers, and data annotators, facilitating streamlined training data workflows that conserve both time and financial resources. Notably, a significant number of ML teams allocate over half of their efforts to managing training datasets, a challenge that Superb AI addresses effectively. Customers utilizing our platform have experienced an impressive 80% reduction in the time required to commence model training. With a fully managed workforce, comprehensive labeling tools, rigorous training data quality assurance, pre-trained model predictions, advanced auto-labeling capabilities, and efficient dataset filtering and integration, Superb AI enhances the data management experience. Furthermore, our platform offers robust developer tools and seamless ML workflow integrations, making training data management simpler and more efficient than ever before. With enterprise-level features catering to every aspect of an ML organization, Superb AI is revolutionizing the way teams approach machine learning projects.

API Access

Has API No 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

Microsoft Power BI Yes 
Slack No 
Spark.work Yes 

Integrations

Microsoft Power BI No 
Slack Yes 
Spark.work No 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

No price information available.
Free Trial Yes 
Free Version Yes 

Deployment

Web-Based No 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows Yes 
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) Yes 
Online Support Yes 

Types of Training

Training Docs No 
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

SQLBI Corp

Country

United States

Website

bravo.bi/

Vendor Details

Company Name

Superb AI

Founded

2018

Country

United States

Website

www.superb-ai.com

Product Features

Data Visualization

Analytics No 
Content Management No 
Dashboard Creation No 
Filtered Views No 
OLAP No 
Relational Display No 
Simulation Models No 
Visual Discovery No 

Product Features

Data Labeling

Human-in-the-loop No 
Labeling Automation No 
Labeling Quality No 
Performance Tracking No 
Polygon, Rectangle, Line, Point No 
SDK No 
Supports Audio Files No 
Task Management No 
Team Collaboration No 
Training Data Management No 

Machine Learning

Deep Learning No 
ML Algorithm Library No 
Model Training No 
Natural Language Processing (NLP) No 
Predictive Modeling No 
Statistical / Mathematical Tools No 
Templates No 
Visualization No 

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