SELab.AI

An AI platform distilled from 25 years of systems engineering. An expert tool that automates concept designConcept designThe stage before a system is built in which its goals, functions and overall structure are decided — the big picture of what to build and how.See all terms — and a citizen platform that lets anyone use AI at work without knowing AI technology.

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AI-powered MBSE concept design automation platform

On top of the international standard ISO/IEC/IEEE 15288ISO/IEC/IEEE 15288The international standard process for managing the entire life cycle of a system in a systematic way.See all terms:2023 process and a SysML v2-based integrated metamodel (IMM), the entire concept designConcept designThe stage before a system is built in which its goals, functions and overall structure are decided — the big picture of what to build and how.See all terms process runs on the web — from requirements analysis through functional architecture (EFFBD) design and physical architecture derivation to the writing of design documents. The mapping between standard tasks and the metamodel verifies that the deliverables are complete.

Modules

AI requirements generator and manager

AI-based requirement quality assessment and improvement support

Metamodel manager

SysML v2-based integrated metamodel (IMM)

Architecture generator and manager

AI-based automatic generation and editing of architecture models (functional flow block diagrams and more)

Architecture analysis

AI-based architecture model analysis manager (timeline analysis, resource analysis, integrated analysis linked to domain-specific tools)

Document generator

AI-assisted systems engineering documents, a document template editor tailored to each organization’s formats, and automatic document output

Project manager

Project planning and management based on project activity models; integrated dashboard, AI workflows and tool integration; project resource management and earned value management system (EVMS)

Real-time collaboration

CRDT-based concurrent modeling

On-premise LLM support

AI operation inside secure environments

Reference modelReference modelA model that captures proven structures and knowledge in advance so they can be reused in system design.See all terms library

Reference models by industry domain and by service type

AI systems we have built

The AI technology in SELab.AI stands on our experience building AI systems across many fields.

  1. Web-based Bayesian network development system

    It provides Bayesian network modeling, machine learning and inference on the web. Various Bayesian network models can be developed as scripts and shared with web users.

  2. Patient risk prediction system (Patient PSAW)

    Patient PSAW collects real-time patient information to predict a patient’s future risk.

  3. Algal bloom image analysis

    A system for identifying harmful algal blooms using convolutional neural networks (CNNs). To improve performance, it derives the CNN architecture automatically with AutoML techniques.

  4. Maritime domain awareness system (PROGNOS)

    PROGNOS improves the precision of maritime domain awareness (MDA) by collecting low-level data and supporting probabilistic assessment through the fusion of heterogeneous inputs, with a particular aim of identifying threats such as terrorists.

  5. Intelligent plant irrigation prediction system (SWS)

    The Smart Watering System (SWS) predicts irrigation ranges according to climate, environment and plant characteristics.

  6. Smart manufacturing situation awareness system

    • AI based on Multi-Entity Bayesian Networks
    • AI modeling from expert knowledge
    • Fusion across multiple AI models

  7. Critical infrastructure defense system (HERALD)

    HERALD detects threats early, identifies targets and predicts their activity, and blocks attacks on infrastructure.

    • MTI (moving target indicator)
    • IMINT (imagery intelligence) sensors
    • GEOINT (geospatial intelligence)

Citizen AI Platform

The biggest barrier to using AI is not the technology — it’s the burden of having to learn it.

The Citizen AICitizen AIAn environment in which people who are not AI specialists can put AI to work using their own domain knowledge.See all terms Platform in SELab.AI is a work platform that requires no knowledge of prompt writing or of how AI models work. Users simply describe their work in everyday language in the forms the platform provides, aligned with the systems engineering process; the platform supplies the way of using AI that fits the task, and users complete the work by reviewing and approving what the platform produces with AI. Everyone who knows their own field becomes the master of AI — that is Citizen AI.