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ease
features
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support

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Description

There is a notable absence of a decentralized graph representing canonical knowledge that is accessible, unrestricted, and encourages contributors to input data into the graph. We aim to establish a protocol that accurately represents the 10 billion entities that exist and the collective public knowledge related to them. Triples—commonly referred to as fact triples or SPO triples—serve as the fundamental components of facts, connecting entities to create a cohesive graph. These triples function as the foundational elements that construct the expanse of knowledge we recognize today. The protocol is designed to accommodate a diverse range of triple types, qualifiers, and supporting evidence. This triple graph can be utilized to enhance decentralized applications (Dapps) and services that depend on essential knowledge. Contributors have the opportunity to submit triples for validation, and if their submissions are approved, they will earn tokens as a reward. The acceptance of triples is determined by validators and predictions made by the knowledge graph itself, ensuring a robust quality control mechanism. Ultimately, the protocol not only incentivizes the creation of the knowledge graph but also incorporates safeguards against exploitative behaviors, promoting a sustainable and reliable knowledge ecosystem. This initiative represents a significant step toward democratizing access to knowledge on a grand scale.

Description

Driving the evolution of digital transformation while empowering knowledge workers to realize their full potential is central to our philosophy. We firmly believe that the true strength of AI lies in its ability to work alongside humans, taking care of urgent yet low-value repetitive tasks, thereby allowing individuals to dedicate more time to innovative and fulfilling projects. This not only enhances personal job satisfaction but also fosters genuine value creation for organizations. Furthermore, we maintain that the advantages of AI come not from displacing human employees but from amplifying their capabilities, which is the foundation of Knowledge Automation. Arago aims to extend the advantages of Artificial Intelligence to enterprise clients worldwide through Knowledge Automation solutions. After receiving an investment from KKR in 2014, we significantly accelerated the development of our HIRO system and broadened our Knowledge Automation services to encompass all processes and industries as a SaaS offering, ensuring that businesses can harness this transformative technology effectively. Ultimately, our goal is to transform workplaces into environments where human ingenuity is complemented by AI, leading to a future of enhanced productivity and innovation.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Brave Browser
Coinbase
SAP Store
WalletConnect

Integrations

Brave Browser
Coinbase
SAP Store
WalletConnect

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

Golden

Website

golden.xyz/

Vendor Details

Company Name

Almato AG

Founded

1998

Country

Germany

Website

www.almato.com/en/solutions/hiro-ai

Product Features

Knowledge Management

Artificial Intelligence (AI)
Cataloging / Categorization
Collaboration
Content Management
Decision Tree
Discussion Boards
Full Text Search
Knowledge Base Management
Self Service Portal

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)

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