Methodology

Complex Problems. Composed Intelligence.

We combine the right intelligence, translate complexity into executable systems, and make every decision traceable.

SOMR

The right intelligence for the problem

ChordX

Compose the system

DEP

Make decisions executable

01 · SOMR

Intelligence Beyond LLMs.

The right intelligence for the right problem.

Real-world decisions demand more than language understanding. Some problems require exploring scenarios, some finding optimal solutions, others learning from data or reasoning through complex information.

SOMR brings together four complementary capabilities for engineering intelligent decision systems.

  • Simulation

    Explore what could happen.

  • Optimization

    Find what works best under constraints.

  • Machine Learning

    Discover patterns from data.

  • Reasoning

    Interpret context and support decisions.

We don’t force problems into predefined models. We select the intelligence the problem actually needs.

02 · ChordX

Intelligence, Composed.

From intelligence capabilities to problem-driven solutions.

SOMR provides the building blocks of intelligence. ChordX determines how those capabilities should be selected, combined, and organized to solve a specific problem.

Different problems may share underlying structures, but their objectives, constraints, and workflows are rarely identical. ChordX starts with the problem, not with a predefined AI model or algorithm.

Inspired by how a small set of musical chords can produce countless compositions, ChordX applies the principle of composition to intelligent decision systems.

The problem determines the composition. The composition determines the system architecture.

Define → Route → Design → Compose → Validate. From understanding human needs and identifying problem structures to designing workflows, selecting methods, and validating results.

ChordX is our overarching engineering framework, connecting problem understanding, intelligent composition, and structured execution.

One Toolkit. Different Compositions.

Problem A · Scenario-Based Planning

Simulation+Optimization

Explore scenarios and identify feasible solutions.

Problem B · Evidence-Informed Decisions

Machine Learning+Reasoning

Identify patterns and support contextual judgments.

Illustrative capability combinations only; not mandatory sequences, and not claims about deployed products.

Engineering journey

  1. 01Define
  2. 02Route
  3. 03Design
  4. 04Compose
  5. 05Validate

Validation and human oversight are integrated throughout the engineering process.

03 · DEP

From Ambiguity to Execution.

Turning intelligent designs into structured, testable workflows.

ChordX determines how intelligence should be composed. DEP (Decision Execution Pipeline) translates that design into an explicit, executable workflow.

Real-world problems begin with incomplete information, competing objectives, and operational constraints. Problem and Interaction Tables (PT/IT) capture the human-facing requirements before they are translated into machine-execution logic.

DEP organizes the workflow into two types of nodes:

  • Decision Nodes (D). Evaluate alternatives and make structured decisions using defined decision methods.
  • Execution Nodes (E). Perform specific operations such as extracting information, transforming data, generating outputs, or executing authorized actions.

Each node has a defined purpose, inputs, outputs, method, and validation criteria. Together, they form a workflow that can be tested, inspected, and adapted to changing requirements.

Structured by design. Traceable by execution.

Evidence validation, error handling, and human oversight are incorporated where the decision risk requires them.

Layer 1 · Human-facing requirements

PT / IT

Problem definition · Interaction requirements · Expected outcomes

Layer 2 · DEP: machine execution

  1. E1· Extract
  2. D1· Decide
  3. E2· Execute

Illustrative node sequence — actual workflows are problem-dependent.

Engineering controls across the workflow

  • Contracts
  • Validation
  • Error handling
  • Human approval

Layer 3 · Verifiable outputs

Evidence · Decisions · Authorized actions · Traceability

04 · Methodology in practice

From Frameworks to Working Systems.

Explore how SOMR, ChordX, and DEP inform the design of practical maritime AI and decision-support systems.

Each demonstration illustrates selected engineering principles, with its capabilities and development status documented on the project page.

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