BUILDING TOOLS TO CONTEXTUALIZE

THE WORLD'S INFORMATION

OUR PURPOSE

WE ARE THE R&D DIVISION FOR THE RELAVANCE GROUP. 


OUR mission is the EVOLUTION & continuous EXPLORATION of A NEW DATA SCIENCE  - THE ARCHITECTURE FOR EVERYTHING: REL-I.


WE CONTINUE TO ADVANCE & DEVELOP THE REL-I ASSOCIATIVE KNOWLEDGE SYSTEM,

EXPANDING CAPABILITIES TO TACKLE THE MOST COMPLEX DATA CHALLENGES OF OUR TIME.


OUR TECHNOLOGY

Associative knowledge system

BUILT WITH A PROPRIETARY ASSOCIATIVE ARCHITECTURE, REL-I REPLACES OR AUGMENTS RELATIONAL DATABASES,

ADDING NEW CAPABILITIES & EFFICIENCIES TO INTELLIGENCE WORKFLOWS

& RESOLVING COMPLEX INFORMATION CHALLENGES.


FOR BUSINESS SERVICES

& PRODUCTS


FOR LEARNING MATERIALS

& PARTNERSHIPS

A NEW WAY TO INTERACT WITH DATA

Shifting from TRADITIONAL databases, REL-I unifies knowledge associatively & presents

a new field of interaction, flexibility & capability for data systems of all scales.

With the order of providing augmented intelligence, the associative model empowers intuition, reducing hardware & technical requirements, rendering advanced functionality accessible to a general user with incredible speed.


UNIVERSAL ASSOCIATION

& CONTEXTUALIZATION


radiate relational connections between data points & resolve them into context-driving associations that connect between multiple incompatible databases to enable whole-organization knowledge tasks.


These associations represent discrete points in the system enabling real-time search & context discovery in ways that are not possible or are inefficient with standard query models (SQL,Graph, RDF).


VIRTUALIZES & UNIFIES ALL DATA

WITHOUT MODIFYING SOURCE DATA


REL-I buildS a virtual representation of all elements in the data system, maintaining the original data, allowing for legacy systems to be maintained or be replaced as necessary. Because of the associative source-agnostic ingestion & use of storage as opposed to system-memory, the lightweight system is capable of handling the world’s most ambitious data projects.



ATOMIZATION & TOKENIZED

REPRESENTATION OF ALL DATA FORMS


The REL-I system atomizes all data formats & types into a universal data field across a single layer, treating each distinct data type as a node. With the unification of these, we tokenize & represent the data from all INGESTED data stores, immediately revealing data quality, duplication & inappropriate relations between nodes. Since all the data is tokenized, the system is capable of comprehensive privacy & access controls that provide the pathways for 'trustless' persistent local systems.



TRANSPARENT DATA LINEAGE

& CHANGE EXPLAINABILITY


All data in the REL-I system can be observed through time, providing the capability of rebuilding system states to specific a point-in-time, viewing changes & data lineage of any given item in any given context & allowing fully transparent data-driven decision tracking for human & AI-developed systems built with REL-I. All of this with zero destructive changes to the original data.

OUR CURRENT FOCUS

  • BUILDING THE UNIVERSAL USE APPLICATION

    With the core functionality established, the team is working to finalize a standard sdk for general use, as well as a robust API to facilitate expanded use cases.

  • EXPANDING ADVANCED FUNCTIONS

    We’re working on toolsets for use in privacy, compliance, and quality assessment of data that facilitate data discovery, access assignment, and resolution of complex data challenges.

  • EXPLORING MULTI-DIMENSIONAL DATA REPRESENTATION

    Given the associative capabilities, we’re constantly exploring new ways to visualize context, perspective and intelligence derived from REL-I. Get in touch below to learn more about some of our current representation models and demos.

WORK WITH US

Contact Us

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