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.
