Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
Emma Compliance is an integrated platform designed for managing customs data, consolidating declarations, supporting documents, invoices, broker details, and trade-related information into a single system. This solution enhances visibility for businesses across various customs brokers and suppliers, facilitating easier analysis, comparison, monitoring, and verification of customs activities. Teams are empowered to reconcile declared values with booked amounts, pinpoint missing or incomplete declarations, address discrepancies, match invoices, request reassessments or recalibrations, and export data for internal reporting purposes. With features such as searchable records, standardized reports, dashboards, alerts, notifications, group-level access, and a master login, the platform streamlines audits and strengthens internal controls. Additionally, it proactively identifies discrepancies like erroneous tariff codes, incorrect countries of origin, misclassified customs procedure codes, inaccurate preference data, VAT rates, tax codes, and unapproved brokers, helping mitigate potential compliance risks before they escalate. Ultimately, Emma Compliance not only simplifies customs data management but also enhances overall operational efficiency and compliance assurance for businesses.
Description
Declarative machine learning systems offer an ideal combination of flexibility and ease of use, facilitating the rapid implementation of cutting-edge models. Users concentrate on defining the “what” while the system autonomously determines the “how.” Though you can start with intelligent defaults, you have the freedom to adjust parameters extensively, even diving into code if necessary. Our team has been at the forefront of developing declarative machine learning systems in the industry, exemplified by Ludwig at Uber and Overton at Apple. Enjoy a selection of prebuilt data connectors designed for seamless compatibility with your databases, data warehouses, lakehouses, and object storage solutions. This approach allows you to train advanced deep learning models without the hassle of infrastructure management. Automated Machine Learning achieves a perfect equilibrium between flexibility and control, all while maintaining a declarative structure. By adopting this declarative method, you can finally train and deploy models at the speed you desire, enhancing productivity and innovation in your projects. The ease of use encourages experimentation, making it easier to refine models based on your specific needs.
API Access
Has API
API Access
Has API
Integrations
Amazon Redshift
Apache Hive
LiteLLM
MySQL
Opik
PostgreSQL
Python
Snowflake
Integrations
Amazon Redshift
Apache Hive
LiteLLM
MySQL
Opik
PostgreSQL
Python
Snowflake
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
Pay-as-you-go pricing
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Emma Systems AS
Country
Norway
Website
emmasys.com/compliance/
Vendor Details
Company Name
Predibase
Country
United States
Website
predibase.com
Product Features
Product Features
Machine Learning
Deep Learning
ML Algorithm Library
Model Training
Natural Language Processing (NLP)
Predictive Modeling
Statistical / Mathematical Tools
Templates
Visualization