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Average Ratings 0 Ratings

Total
ease
features
design
support

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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

API Access

Has API

Screenshots View All

Screenshots View All

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

Alternatives

Descartes Customs & Compliance Suite Reviews

Descartes Customs & Compliance Suite

Descartes Systems Group

Alternatives