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Description

DCbrain is a leading specialist in Artificial Intelligence applications for Energy and Logistics networks, designed to help industrial enterprises enhance their operational efficiency, forecast demand, and establish dependable flows that yield actionable insights in real time. Transitioning from mere data visualization to data-driven recommendations can be achieved within just a few weeks using our Software as a Service (SaaS) platform. We incorporate traditional AI techniques such as Machine Learning, Deep Learning, and Reinforcement Learning, which facilitate the understanding and identification of patterns within the data, combined with relational graph databases that capture the complexities of network systems. Additionally, our unique advantage lies in the swift implementation of this advanced technology into your existing workflows. In under two months, you can experience the capabilities of our tool, the INeS, Intelligent Network Solutions©, which evaluates numerous variables to monitor events across your network and promptly delivers real-time action suggestions within minutes. This seamless integration not only enhances operational responsiveness but also empowers decision-makers with precise insights derived from extensive data analysis.

Description

We engage in pioneering research on artificial intelligence to attain significant advantages in financial investment, shedding light on the market through innovative neuro-prediction techniques. Our approach integrates advanced deep reinforcement learning algorithms and graph-based learning with artificial neural networks to effectively model and forecast time series data. At Neuri, we focus on generating synthetic data that accurately reflects global financial markets, subjecting it to intricate simulations of trading behaviors. We are optimistic about the potential of quantum optimization to enhance our simulations beyond the capabilities of classical supercomputing technologies. Given that financial markets are constantly changing, we develop AI algorithms that adapt and learn in real-time, allowing us to discover relationships between various financial assets, classes, and markets. The intersection of neuroscience-inspired models, quantum algorithms, and machine learning in systematic trading remains a largely untapped area, presenting an exciting opportunity for future exploration and development. By pushing the boundaries of current methodologies, we aim to redefine how trading strategies are formulated and executed in this ever-evolving landscape.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

No details available.

Integrations

No details available.

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

No price information available.
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

DCbrain

Founded

2014

Country

France

Website

dcbrain.com

Vendor Details

Company Name

Neuri

Founded

2018

Country

Singapore

Website

www.neuri.ai/

Product Features

Artificial Intelligence

Chatbot
For Healthcare
For Sales
For eCommerce
Image Recognition
Machine Learning
Multi-Language
Natural Language Processing
Predictive Analytics
Process/Workflow Automation
Rules-Based Automation
Virtual Personal Assistant (VPA)

Supply Chain Management

Demand Planning
Electronic Data Interchange
Import / Export Management
Inventory Management
Order Fulfillment
Order Management
Sales & Operations Planning
Shipping Management
Supplier Management
Transportation Management
Warehouse Management

Product Features

Deep Learning

Convolutional Neural Networks
Document Classification
Image Segmentation
ML Algorithm Library
Model Training
Neural Network Modeling
Self-Learning
Visualization

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