Skip to main content
Skip to main content

System Architecture

Comprehensive overview of the Helios Adaptive Intelligence System architecture, including layer diagrams, component relationships, and data flow patterns.

System Architecture Diagram

Helios System Architecture

Five-layer architecture showing component relationships and data flow

Architecture Layers

1

User Interface Layer

Entry points for user interaction and system access

Executive DashboardsAPI EndpointsCLI Tools
2

Orchestration Layer

Coordinates agent selection and task distribution

Elastic Council RouterTask DecompositionAgent Lifecycle ManagementEVSI Calculator
3

Agent Layer

Executes analytical tasks and generates outputs

Strategic OrchestratorResearch SynthesizerQuality SentinelEthical GuardianMetacognitive OrchestratorSpecialist Agents
4

Data Spine Layer

Manages data flow and transformation with full lineage

ETL PipelineFeature StoreProvenance LedgerQuadruple VerificationUUID Tracking
5

Compliance Layer

Ensures regulatory compliance and audit integrity

ARCS EngineARCF FrameworkAudit TrailsHash ChainBlockchain Anchoring

Workflow Diagram

Helios Workflow

Four-phase workflow with continuous compliance layer integration

Core Components

Elastic Council

Dynamic agent selection

  • Thompson Sampling
  • EVSI-based activation
  • Bayesian updating

Data Spine

Data infrastructure

  • Quadruple verification
  • UUID tracking
  • Point-in-time joins

ARCS Engine

Compliance management

  • Real-time compliance
  • Audit trails
  • Regulatory overlays

OmniSynth

Data fusion

  • Multi-modal synthesis
  • Reliability weighting
  • Conflict resolution

Provenance Ledger

Audit trail

  • Hash chains
  • Blockchain anchoring
  • Forensic analysis

Data Flow Patterns

Data flows through the Helios system in a structured pipeline, with each transformation recorded in the provenance ledger for complete auditability.

Ingestion Flow

  1. Raw data enters through configured source connectors
  2. Quadruple-verification validates data against four independent sources
  3. Canonicalization transforms data into standard schema format
  4. UUID assignment creates unique identifiers for lineage tracking
  5. Feature store persists processed data with point-in-time accessibility

Analytical Flow

  1. Task decomposition breaks objectives into agent-assignable units
  2. Elastic Council selects optimal agent configuration via EVSI
  3. Agents execute analysis with continuous provenance logging
  4. Contradiction management resolves conflicting outputs
  5. Consensus clustering aggregates results with reliability weighting

Output Flow

  1. Synthesis engine dissects analytical outputs for insights
  2. Strategy formulation generates actionable recommendations
  3. Multi-dimensional scoring ranks outputs against standards
  4. Report generation produces audit-trailed deliverables
  5. Blockchain anchoring creates immutable verification points
View User ManualView Technical Report