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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

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 No 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

Amazon Redshift No 
Apache Hive No 
LiteLLM No 
MySQL No 
Opik No 
PostgreSQL No 
Python No 
Snowflake No 

Integrations

Amazon Redshift Yes 
Apache Hive Yes 
LiteLLM Yes 
MySQL Yes 
Opik Yes 
PostgreSQL Yes 
Python Yes 
Snowflake Yes 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

Pay-as-you-go pricing
Free Trial Yes 
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 Yes 
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) Yes 
In Person No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) Yes 
In Person No 

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 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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