Augmented World
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Augmented World®

Augmented
World®

AI-powered systems engineering platform

Augmented World® is the vision. HAMMAI® is the architecture. Augmented V-Cycle® is the engineering framework for designing, generating and validating physical systems, software systems and AI agents.

Generate your AI agent with Augmented V-Cycle

Develop your system with Augmented V-Cycle

From a single description, generate complete specifications, architecture, BOM, assembly plans, firmware, and tests — with human validation at every gate.

AI Augmented V-Cycle™ — AI performs the step, the human reviews, edits and validates
8V-Cycle stages
100%Traceable
Domains

Software, hardware, embedded, medical, automotive, aerospace — one method, any system.

No account? Explore a complete project for free:

Read-only demo, no account needed.

Read our Vision & Methodology (PDF)

How it works

Four steps from idea to deployed, compliant system.

1

Describe

Write your system description in free text or use the guided editor. Upload knowledge files (norms, standards, domain rules).

2

Enrich

AI transforms and normalizes your input into a structured specification. The Knowledge Advisor suggests applicable standards. Evaluate and enhance until quality target.

3

Generate

Launch the pipeline: use cases, EARS requirements, consolidation, architecture, detailed design, code, and tests — all generated with traceability.

4

Deliver

Download validated deliverables: workspace code, Docker stack, SysML diagrams, evidence register, and compliance dossier.

HAMMAI

Agentic Solutions

One platform, multiple specialized agents — each domain has its own AI-powered SaaS.

Ready to see the full V-Cycle in action?

EU AI ActReg. 2024/1689
ISO 26262:2018Functional Safety
ISO/SAE 21434:2021Cybersecurity
ISO 21448:2022SOTIF
IEC 61508SIL Assessment
UN R155Cyber Regulation
7 Patents (filed)HAMMAI Architecture

AI Act Compliance — Transparency by Design

HAMMAI is designed from the ground up for EU AI Act compliance (Regulation 2024/1689). Every AI-generated artifact is labeled with: the model used, generation timestamp, and prompt hash. All outputs pass deterministic validation (structural + conformity gate) before being presented. AI results are never presented as human productions. The user retains final control over validation and acceptance of every artifact.

Article 50 — transparency obligation for AI-generated content
Article 9 — risk management system
Article 12 — record-keeping & logging

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