REL-1 offers a new kind of data access

 — fast, intuitive, and deeply contextual —

connecting dots you didn’t even know existed.


ASSOCIATIVE INTELLIGENCE SUITE

THE REL-1 SUITE IS CLOUDNINE AI’S FAMILY OF PRODUCTS

BUILT ON OUR PROPRIETARY, SELF-GENERATING ASSOCIATIVE ARCHITECTURE.


REL-1 ELEVATES DATA INTEGRATION — BRINGING CONTEXT-AWARENESS TO TRADITIONAL AND AI-DRIVEN WORKFLOWS WITH INTELLIGENCE THAT ADAPTS AND EVOLVES WITH YOUR DATA.


1 WHAT IS REL-1?

REL-1 IS AN ASSOCIATIVE DATA INTERFACE LAYER THAT RESOLVES DATA CONTEXT & COMPLEXITY AT SCALE.

2 THE CONTEXT PROBLEM

CONVENTIONAL DATA SYSTEMS CAPTURE INFORMATION BUT LOSE MEANING. RELATIONSHIPS ARE BURIED IN SILOS & RIGID SCHEMAS, LEAVING ORGANIZATIONS BLIND TO HOW THEIR DATA TRULY CONNECTS. THE RESULT: SLOWER INSIGHTS, HIGHER COSTS, LOST OPPORUNITIES, AND DECISIONS MADE WITHOUT CONTEXT.

3 HOW REL-1 SOLVES IT

REL-1 RESTORES MEANING TO DATA. IT UNIFIES FRAGMENTED SYSTEMS INTO A SELF-ORGANIZING WEB OF CONTEXT — WHERE EVERY RELATIONSHIP, PATTERN, & ANOMALY IS REVEALED. INSIGHT BECOMES INTUITIVE, ACTION BECOMES FASTER, AND INTELLIGENCE BECOMES TRULY CONNECTED.

THE ASSOCIATIVE SUITE

DEVELOPER TOOLSET

  • FOR DEVELOPERS, INTEGRATORS, AND INNOVATION LABS. AN API + SDK TOOLKIT TO EMBED ASSOCIATIVE INTELLIGENCE INTO WORKFLOWS OR BUILD NEW APPLICATIONS.

UNIVERSAL DATA CONNECTORS

  • FOR IT, SYSTEM ADMINS, AND ANALYSTS. A UNIVERSAL TRANSLATOR THAT CONNECTS, CLEANS, AND UNIFIES DATA ACROSS INCOMPATIBLE FORMATS AND DATABASES.

DISCOVERY APPLICATION

  •  FOR ENTERPRISES AND PUBLIC ORGANIZATIONS. A STANDALONE APPLICATION FOR INTELLIGENT DISCOVERY, POINT-OF-INTEREST DETECTION, AND PATTERN RECOGNITION — WITHOUT QUERIES OR RIGID SCHEMAS.

ASSOCIATIVE PLAYGROUND

  • FOR RESEARCHERS, EDUCATORS, AND INNOVATORS. AN INTERACTIVE ENVIRONMENT FOR SIMULATION, EXPERIMENTATION, AND LEARNING, ENABLING LOW-BARRIER TESTING AND ASSOCIATIVE LEARNING.

WATCH A PREVIEW OF OUR DEMO

HOW IT WORKS

  1. INGESTS COMPLEX

LEGACY DATA SOURCES

2. VIRTUALIZES & UNIFIES ALL DATA

WITHOUT MODIFYING SOURCE DATA

3. RESOLVES DATA QUALITY

ISSUES

= REVEALS INHERENT

CONTEXT & PATTERNS

  1. ELIMINATES DATA SILOS AND DUPLICATION
  2. SURFACES UNKNOWN RISKS, ANOMALIES, AND HIDDEN OPPORTUNITIES
  3. PROVIDES REAL-TIME CONTEXTUAL DISCOVERY WITHOUT QUERIES
  4. STRENGTHENS COMPLIANCE, AUDITABILITY, AND GOVERNANCE
  5. AUGMENTS EXISTING AI AND ANALYTICS SYSTEMS WITH CLEAN, CONTEXTUALIZED INPUTS