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Average Ratings 0 Ratings

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ease
features
design
support

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Write a Review

Description

The docBrain platform unites various fields including machine learning, data science, solution engineering, and DevOps, focusing on enhancing productivity in document-centric tasks. By leveraging deep learning technology, you can build AI models from scratch, tailoring solutions to meet your specific document-related issues effectively. Additionally, docBrain offers pre-trained models, enabling users to benefit from extensive prior learning and guaranteeing a solid return on investment before engaging in any training activities. Whether you opt to train the AI yourself or utilize readily available models, the solutions you implement through docBrain will seamlessly connect with your existing business infrastructure. Developed internally, docBrain was designed to tackle Moonoia’s unique document processing hurdles, which were primarily caused by manual data validation that was both error-prone and expensive, ultimately hindering automation efforts. Furthermore, existing OCR technologies in the market failed to deliver the level of accuracy needed for efficient straight-through processing, particularly when dealing with handwritten, unstructured, or low-quality documents, thus underscoring the necessity of such a platform. This innovative approach not only enhances operational efficiency but also paves the way for more reliable document management solutions in the future.

Description

Current models are costly to train, complicated to implement, challenging to validate, and notoriously susceptible to generating misleading information. At Symbolica, we are reimagining the process of machine learning from its foundation. By leveraging the highly expressive framework of category theory, we create models that can learn and understand algebraic structures. This approach equips our models with a comprehensive and systematic representation of the world that is both explainable and verifiable. Our goal is to empower developers and end users to grasp and articulate the reasons behind model outputs. This level of interpretability and control over the outputs—such as the ability to remove proprietary data from the training set—is essential for applications that are critical to mission success. Additionally, we believe that enhancing transparency in how models derive their conclusions will foster greater trust and collaboration between humans and machines.

API Access

Has API No 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

No details available.

Integrations

No details available.

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

No price information available.
Free Trial No 
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 No 
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 No 
Webinars No 
Live Training (Online) Yes 
In Person No 

Types of Training

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

Vendor Details

Company Name

Moonoia

Founded

2019

Country

Belgium

Website

www.moonoia.com

Vendor Details

Company Name

Symbolica

Website

www.symbolica.ai

Product Features

Data Extraction

Disparate Data Collection No 
Document Extraction No 
Email Address Extraction No 
IP Address Extraction No 
Image Extraction No 
Phone Number Extraction No 
Pricing Extraction No 
Web Data Extraction No 

Product Features

Artificial Intelligence

Chatbot No 
For Healthcare No 
For Sales No 
For eCommerce No 
Image Recognition No 
Machine Learning No 
Multi-Language No 
Natural Language Processing No 
Predictive Analytics No 
Process/Workflow Automation No 
Rules-Based Automation No 
Virtual Personal Assistant (VPA) No 

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