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See the Forces
Shaping Reality

Compute-first intelligence infrastructure connecting events, entities, narratives and time: built for strategic decisions, prediction and AI agents.

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the problem

The World Is Connected.
Intelligence Is Fragmented.

Critical signals remain scattered across markets, politics, media, research, public data and private systems. RADIANT connects them into one living intelligence graph

Fragmented Signals

Fragmented Signals

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    Scattered Data Sources

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    Disconnected Timelines

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    No Cross-domain Links

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    Blind to Relationships

World Graph

World Graph

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    Unified Intelligence Layer

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    Temporal Connections

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    Evidence Chains

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    Relationship Mapping

Strategic Clarity

Strategic Clarity

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    Decision-Ready Intelligence

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    Scenario Awareness

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    Predictive Signals

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    Agent-Ready Structure

Headlines Show Events
RADIANT Reveals the System Behind Them

Critical signals remain scattered across markets, politics, media, research, public data and private systems. RADIANT connects them into one living intelligence graph

01

Read Between Political Statements

02

Reveal Competitor Intent

03

Detect Shifts Before Consensus

04

Trace Risk Across Connected Systems

05

Reconstruct Context Through Time

06

Detect Signals Before Shocks

From Global Signals
to Decision Intelligence

Every signal moves through the same pipeline: from raw data to actionable decisions

Step 1

Collect

Authoritative & Specialized Signals

Step 2

Understand

Entities, Claims, Narratives & Behavior

Step 3

Connect

Relationships, Incentives, Capital, Geography & Time

Step 4

Compute

Scores, Scenarios, Probabilities & Risk Propagation

Step 5

Decide

Research, Planning, Alerts & Agent Workflows

Every Event Has a Past,
a Context and a Trajectory

RADIANT reconstructs how entities, narratives and relationships evolve through time

Past Context

Past Context

Historical relationships, prior events and established patterns that frame what is happening now

Current State

Current State

Active entities, live signals and present-moment dynamics across regions and domains

Emerging Signals

Emerging Signals

Early indicators, weak signals and pre-consensus shifts that precede market and political moves

Scenario Trajectories

Scenario Trajectories

Branching outcomes, probability distributions and resolution paths for decision planning

One World.
Multiple Intelligence Layers.

Every entity, claim and event is scored across multiple independent dimensions — not reduced to a single number

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Trust

Source credibility and claim verification scores

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Influence

Entity reach and narrative impact across networks

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Attention

Volume, direction and concentration of global focus

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Behavior

Action patterns, anomalies and change signals

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Momentum

Velocity and direction of systemic movement

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Risk

Propagation paths and vulnerability exposure

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Strategic Relevance

Alignment to objectives and decision weight

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Prediction Confidence

Resolution evidence and forecast reliability

Context Is the New Truth Layer

RADIANT compares sources, tracks claim evolution, exposes contradictions and separates evidence from interpretation

Attention Moves Markets,
Politics and Behavior

RADIANT maps how attention forms, spreads, concentrates and converts into influence

Intelligence Built
for Humans & Agents

Analysts explore. Agents monitor. Both operate on the same evidence-aware World Graph

Agent Interface

Graph query API

Monitoring triggers

Scenario dependency trees

Resolution evidence feeds

Structured event streams

Analyst Workspace

Provenance audit trail

Scenario comparison

Evidence chain navigator

Temporal timeline view

Entity relationship explorer

Intelligence for Every Sector

Governance

Governance

Understand political incentives, narratives and regional risks

Finance

Finance

Connect macro events, markets, capital and sentiment

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Enterprise

Reveal competitor direction and strategic opportunities

Markets

Prediction Markets

Power event discovery, forecasting and resolution

Research

Research

Run political, economic, marketing and behavioral analysis

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AI Developers

Build agents on structured real-world intelligence

Built for Prediction
Not Retrospection

Structured events, historical analogues, scenario dependencies and resolution evidence for forecasting systems and prediction markets