CatalytIQ

STOP ADDING TOOLS.
START DEPLOYING OPERATORS.

Most enterprises are trapped in AI Theater—chatbots layered over broken systems. We build AI-First Operations.

See the Engines Request Architecture

// AI Theater

Adding a GPT-wrapper to a legacy process.
Chatbots that "help" users navigate a mess.
UI updates that mask operational decay.

// AI-First Operations

Replacing the process with an Operator.
Systems that execute, not just suggest.
The Catalyst: Where signal becomes profit.

The Logic

01 // INPUT

Raw Materials

Unstructured data, market signals, and operational noise.

Catalyst
02 // ENGINE

AI Operator

Autonomous architecture designed for specific operational outcomes.

03 // OUTPUT

Results

Increased margin, eliminated latency, and compounding profit.

// The Engines

Products built for sectors where operational drift destroys margin.

These are not generic agents. Each engine is trained against a real operating model, a real system-of-record, and a real execution burden. Different sectors. Same doctrine: read the live state, decide with context, act with accountability.

Industry // Production

Hephaestus

The production operator for plants, workshops, and industrial groups that still run on fragmented telemetry, human escalation, and lagging spreadsheets.

  • Production orchestration across lines, stations, and capacity constraints.
  • Telemetry synthesis that converts machine noise into operator-grade action.
  • Maintenance anticipation with execution logic, not passive alert spam.
  • Throughput and waste visibility tied to real operational decisions.
Logistics // Asset Flow

Drakon

The logistics engine for operators who need live control over movement, handoff, routing, and exception handling across fragmented transport chains.

  • Autonomous dispatch logic for routing, assignment, and reprioritization.
  • Fleet and shipment telemetry unified into a single operating layer.
  • Exception management for delays, missed windows, and failed handoffs.
  • Cross-border and compliance workflows without manual middleware.
Hospitality // AI-First Operations

Xenios

Xenios is the hotel operator. It reads every inbound signal, resolves context against PostgreSQL, decides the operational path, executes through channels and PMS integrations, and writes the outcome back into the system of record.

Operational scope
  • Booking, availability, pricing, cancellation, transfer, finance, and guest messaging.
  • AI-first interpretation of email, WhatsApp, Telegram, and other inbound channels.
  • Dashboard and operator context derived from PostgreSQL as the single source of truth.
What makes it different
  • Contract-aware and PMS-backed pricing with traceable logic.
  • Full audit trail for every decision, action, outcome, and exception.
  • Designed to replace the operational middleware layer, not decorate it.
B2B Hospitality // Tour Operators

Thales

The commercial operator for the Greek hotel market and European tour operator ecosystem. Thales is built for the full B2B cycle, from contracting to settlement.

  • Contract lifecycle control across allotments, terms, validity windows, and partner logic.
  • Booking and exception flows between hotels and agencies without inbox chaos.
  • Settlement and post-season reconciliation with auditable commercial context.
  • A true B2B operating layer, not a reporting dashboard pretending to be one.
Shipping // Maritime Operations

Aeolus

The maritime operations engine for shipping companies that need to connect legacy systems to a live decision layer without rebuilding their world from scratch.

  • Native integration paths to shipping platforms such as Danaos.
  • Vessel, manifest, and port-call orchestration in one operating surface.
  • Operational coordination across schedule shifts, documentation, and cargo state.
  • Execution on top of existing systems, without asking the operator to start over.

"If you want magic, don't call.
If you want advantage, we should talk."

Deploy the Catalyst
// Contact

Request Architecture

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