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What is RelationalAI?

RelationalAI stands at the forefront of database technology, specifically designed to optimize advanced data applications utilizing relational knowledge graphs. By emphasizing a data-centric approach to application development, it seamlessly integrates data with logic into modular structures. These advanced applications are adept at understanding and leveraging every relationship within a given model. Utilizing a knowledge graph framework, the system articulates knowledge through executable models that can be easily expanded with declarative programs, which are both accessible and user-friendly. The versatile declarative language offered by RelationalAI allows developers to significantly reduce the amount of code needed, achieving reductions between 10 to 100 times, which in turn accelerates application development and improves quality by enabling non-technical users to participate in the creation process while simultaneously automating intricate programming tasks. By harnessing a flexible graph data model, users can establish a strong data-centric infrastructure. Moreover, the integration of various models facilitates the discovery of new relationships, effectively breaking down barriers that separate different applications. This pioneering methodology not only enhances the efficiency of development but also encourages collaboration across multiple domains, ultimately creating a more interconnected ecosystem for innovation. In this way, RelationalAI is redefining the standards for how data applications are built and utilized.

What is Maana Knowledge Platform?

Enhance your Knowledge Layer using an intuitive visual interface that streamlines interaction with the knowledge graph. Users can not only create and query this graph but also enrich domain concepts with pertinent information. By activating bots, the knowledge graph can be augmented with dynamic connections, providing a more integrated experience. The platform facilitates the creation and composition of services through functional composition features, enabling users to effortlessly add and manage services within the knowledge graph. It supports both interactive and scripted access to crucial system actions, thereby increasing operational efficiency. Furthermore, the system includes capabilities for schema management, data loading, querying, and administrative functions. Developers have the ability to extend the command line interface with custom plug-ins, offering the flexibility to introduce new features. Knowledge applications, tailored use cases developed by clients on the Maana platform, deliver AI-driven insights that assist in making informed operational decisions. Each knowledge application comprises decision models that are capable of executing real-time calculations suited to user requirements. A key aspect of this system is that customers cannot access knowledge applications made by others, which guarantees the privacy and individuality of their implementations. This method cultivates a focused environment where clients can innovate, personalize, and refine their knowledge solutions, ultimately leading to unique and effective outcomes. This unique approach empowers users to not only utilize existing resources but also to build upon them, creating a collaborative ecosystem of knowledge development.

Media

Media

Integrations Supported

Additional information not provided

Integrations Supported

Additional information not provided

API Availability

API Availability

Pricing Information

Pricing not provided

Pricing Information

Pricing not provided

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub

Training Options

Documentation Hub

Company Facts

Organization Name

RelationalAI

Company Location

United States

Company Website

relational.ai/

Company Facts

Organization Name

Maana

Date Founded

2012

Company Location

United States

Company Website

www.maana.io/knowledge-platform/

Categories and Features

Graph Databases

Not specified

Relational Database

Not specified

Categories and Features

IoT

Visualization

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