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What is Omni?
By integrating both elements, you achieve a superior analytics experience that enhances decision-making across your organization. With a robust model accessible to all, discovering and disseminating key metrics becomes a streamlined process. Setting up Omni is quick, taking only a few minutes, and it begins learning from each interaction, continually improving its performance over time. Our cutting-edge business intelligence solution automatically constructs a model based on your queries and generates metrics that can be easily shared. The intuitive user interface ensures that individuals at any skill level can effortlessly access, investigate, share, and collaborate with the necessary data. Furthermore, Omni allows for the application of specific queries directly to the data model, thereby expanding and enriching your shareable insights. Ultimately, Omni transforms business intelligence from dynamic data exploration into a structured framework that promotes both efficient and precise data utilization, fostering a culture of data-driven decision-making. As a result, organizations can leverage their data more effectively to drive growth and innovation.
What is Evidently AI?
A comprehensive open-source platform designed for monitoring machine learning models provides extensive observability capabilities. This platform empowers users to assess, test, and manage models throughout their lifecycle, from validation to deployment. It is tailored to accommodate various data types, including tabular data, natural language processing, and large language models, appealing to both data scientists and ML engineers. With all essential tools for ensuring the dependable functioning of ML systems in production settings, it allows for an initial focus on simple ad hoc evaluations, which can later evolve into a full-scale monitoring setup. All features are seamlessly integrated within a single platform, boasting a unified API and consistent metrics. Usability, aesthetics, and easy sharing of insights are central priorities in its design. Users gain valuable insights into data quality and model performance, simplifying exploration and troubleshooting processes. Installation is quick, requiring just a minute, which facilitates immediate testing before deployment, validation in real-time environments, and checks with every model update. The platform also streamlines the setup process by automatically generating test scenarios derived from a reference dataset, relieving users of manual configuration burdens. It allows users to monitor every aspect of their data, models, and testing results. By proactively detecting and resolving issues with models in production, it guarantees sustained high performance and encourages continuous improvement. Furthermore, the tool's adaptability makes it ideal for teams of any scale, promoting collaborative efforts to uphold the quality of ML systems. This ensures that regardless of the team's size, they can efficiently manage and maintain their machine learning operations.
API Availability
Has API
API Availability
Has API
Pricing Information
Pricing not provided.
Free Trial Offered?
Free Version
Pricing Information
$500 per month
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
Omni
Date Founded
2022
Company Location
United States
Company Website
omni.co
Company Facts
Organization Name
Evidently AI
Date Founded
2020
Company Location
United States
Company Website
www.evidentlyai.com
Categories and Features
Business Intelligence
Ad Hoc Reports
Benchmarking
Budgeting & Forecasting
Dashboard
Data Analysis
Key Performance Indicators
Natural Language Generation (NLG)
Performance Metrics
Predictive Analytics
Profitability Analysis
Strategic Planning
Trend / Problem Indicators
Visual Analytics
Categories and Features
Data Quality
Address Validation
Data Deduplication
Data Discovery
Data Profililng
Master Data Management
Match & Merge
Metadata Management
Machine Learning
Deep Learning
ML Algorithm Library
Model Training
Natural Language Processing (NLP)
Predictive Modeling
Statistical / Mathematical Tools
Templates
Visualization
Natural Language Processing
Co-Reference Resolution
In-Database Text Analytics
Named Entity Recognition
Natural Language Generation (NLG)
Open Source Integrations
Parsing
Part-of-Speech Tagging
Sentence Segmentation
Stemming/Lemmatization
Tokenization