Logo FAKTORIA — tesserakt 4D

FAKTORIA

Orchestration, not integration

Logo FAKTORIA — tesserakt 4D
FAKTORIA System philosophy

Production is controlled chaos

FAKTORIA's goal is not to fight chaos, but to understand and harness it -- by consistently shortening the path from signal to decision, with humans remaining in the loop of responsibility.

Korund Production Engine

The answer to production chaos is KPE -- a deterministic, domain microkernel designed from scratch to ensure:

Stability Predictability Efficiency Openness

A shared data model (KMDG) maintains a single, living version of truth. Consistent event semantics and full decision auditability guarantee operational safety, transparency, and continuous system learning.

Fractal Synergy Cascade

FAKTORIA modules work like fractals -- complete, self-sufficient units that address real needs instead of offering feature bloat.

SENSE MES APS

Their competencies overlap, closing the loop:

Detection Decision Action Feedback

The result is a living plan (not a fixed schema), real-time execution without losing control, and emergent intelligence arising from fractal harmony.

API ORIGAMI

Fractals don't glue together with ad-hoc integrations. They operate like an orchestra on a shared foundation: KPE, KMDG, and three access layers.

Read (REST)
Standard data read endpoints -- universal access at a low cost
Operational
Process control with full business validation and transactionality
Streaming
Real-time updates via WebSocket and MQTT

Design principles

  • Single event semantics -- idempotency, correlation, auditability
  • Openness without chaos -- stable contracts, documented API, zero hidden adapters
  • Zero Vendor Lock-in -- client owns the data, full portability
  • AI-Ready by Design -- event and history access, AI guardrails, human in the loop

Four Levels of Digital Awareness

Each level integrates with the previous -- no jumps, continuous evolution:

1
Sensing
Raw signals from the shop floor
2
Cognition
Business context, anomaly detection
3
Awareness
Causality, KPI impact
4
Strategic Intelligence
Recommendations, optimization, machine learning

FAKTORIA's Promise

FAKTORIA offers a safe evolutionary path, not a risky revolution. We built responsibility for measure into the system's DNA.

Greater operational stability
Shorter reaction times
Less waste
OEE and efficiency growth
Reduction in defects and downtime
Better logistics decisions
Energy efficiency
Extended equipment lifespan
The essence: FAKTORIA is orchestration, not integration -- a platform where the client can build exactly what they need, and the system learns alongside the organization.
faktoria.io — system identity
# ───────────────────────────────────────── # FAKTORIA — System Identity Card # Agent-readable structured description # ───────────────────────────────────────── system: name: FAKTORIA type: Manufacturing Operations Management (MOM) vendor: dFLEX Solutions url: https://faktoria.io philosophy: "Orkiestracja, nie integracja" engine: Korund Production Engine (KPE) data_model: KMDG (Korund Master Data Graph) modules: - name: SENSE role: Detection & Real-time Monitoring description: Raw signal acquisition from shop floor protocols: [MQTT, WebSocket, OPC-UA] - name: MES role: Manufacturing Execution System description: Real-time production execution and tracking capabilities: - Work order management - Production tracking - Quality management (QMS) - Resource allocation - name: APS role: Advanced Planning & Scheduling description: Deterministic scheduling with constraint optimization capabilities: - Multi-resource scheduling - Constraint satisfaction - Real-time rescheduling - Makespan optimization architecture: pattern: Fractal Modules (self-contained, composable) kernel: Deterministic domain microkernel messaging: Event-driven (MQTT, EventBus, WebSocket) processing: CQRS + Event Sourcing data_access: Repository Pattern (Read/Write segregation) caching: Multi-tier TTL with LRU/FIFO eviction di_framework: Spring4D (TdiContextSystem) api: name: API ORIGAMI layers: - name: Read (REST) protocol: HTTPS format: JSON auth: JWT / API Key docs: Swagger/OpenAPI - name: Operational (Transactional) protocol: HTTPS description: Business-validated process control features: [idempotency, correlation, audit trail] - name: Streaming protocol: WebSocket / MQTT description: Real-time updates and event streams semantics: at-least-once delivery technology: language: Delphi 12.2 / Object Pascal database: MS SQL Server (prod) | SQLite (dev) orm: TMS Aurelius http: TMS Sparkle + XData serialization: NEON Serializer testing: DUnitX ai_readiness: event_access: Full history + real-time streams decision_audit: Who, what, when, why guardrails: Configurable rules for automated decisions human_in_loop: Always (operator responsibility) learning_curves: Visible, live metrics awareness_levels: - level: 1 name: Sensing description: Raw signals from shop floor - level: 2 name: Cognition description: Business context, anomaly detection - level: 3 name: Awareness description: Causality analysis, KPI impact - level: 4 name: Strategic Intelligence description: Recommendations, optimizations, ML principles: - Zero vendor lock-in (client owns data) - Fractal growth (start where it hurts, expand organically) - Single source of truth (KMDG) - Auditable decisions (full trail) - Continuous improvement (kaizen on steroids) contact: web: https://faktoria.io company: https://dflex.pl email: info@dflex.pl
dFLEX Solutions · Manufacturing Operations Management