AI-Powered Systems Engineering Reuse

Connect tools, extract information, assure quality and traceability, enable interoperability, and measure performance across your systems engineering lifecycle

⇒ Reduce non-recurring engineering (NRE)
⇒ Ensure consistency across systems and programs
⇒ Scale MBSE across tools and teams
⇒ Get the most out of AI

Solve your systems engineering challenges

Solve your systems engineering challenges

Systems Engineering Information tends to be isolated, fragmented, disconnected, and outdated

Data spread across departments

Data and information spread across departments, tools, and formats

Inconsistent incomplete requirements

Incorrect, inconsistent, and incomplete models and requirements

Limited Capabilities

Limited capabilities to find, access and reuse existing assets

Poor visibility into engineering performance

Poor visibility into engineering performance

Teams spend more time searching, fixing, moving, and recreating data than engineering

AI-Powered Systems ENGINEERING REUSE

AI powered systems engineeering reuse

Identify Reusable Assets and Features

Get the most out of AI to identify, capture, and manage term glossaries, xBS, requirements, model templates, feature trees, and other reusable artifacts from your tool ecosystem.

Assure the Quality of Reusable Assets

Use advanced AI to ensure the correctness, consistency, completeness, and traceability of the artifacts from your tool ecosystem. Manage the quality, traceability, and V&V processes.

Classify and Find Assets

Find whatever existing work-product produced during your engineering and navigate through traces to identify reusable knowledge using advanced AI models.

Enable Interoperability and Reuse between Engineering Artifacts and Assets

Connect to your supplier’s (or OEM’s) model, independently of the used tool, and merge it with your own model in your own tool. Make AI work for you.

Measure Systems Engineering and Reuse

Calculate and monitor the quality of your engineering project by aggregating the quality of all the corresponding requirements, models, designs, etc.

An AI Platform for Systems Engineering Reuse

SES ENGINEERING Studio connects your tool ecosystem into a semantic layer that enables reuse, quality assurance, interoperability, and measurement.

A Unified Platform for Engineering Reuse And Control
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Identify Reusable Assets

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Qualify: Assure Quality

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Classify and Find Assets

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Adapt, Interoperate and Transform

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Measure

Deploy without disrupting your tools, just solving existing problems

Powered by SES ENGINEERING Studio

An AI-enabled platform for engineering lifecycle management, reuse, and interoperability.

→ Tool-agnostic integration → Semantic knowledge base → AI-powered automation → Full lifecycle traceability

Identify Reusable Assets and Features

KM - KNOWLEDGE Manager

KM - KNOWLEDGE Manager

Manages the system’s knowledge base. Uses AI to identify reusable assets.

Assure the Quality of Reusable Assets

RQA – QUALITY Studio

RQA – QUALITY Studio

Assesses the quality and technical management of any engineering work-product.

ACQUISITION Studio

ACQUISITION Studio

Manages and digitalizes the acquisition process of any complex system.

Classify and Find Assets

Semantic Search Engine

Semantic Search Engine

Classifies all produced assets within the lifecycle, enabling identification, search and access.

Preservation Studio

Preservation Studio

Long-term archiving, obsolescence detection, and tool migration with no information loss.

Enable Interoperability and Reuse between Engineering Artifacts and Assets

INTEROPERABILITY Studio

INTEROPERABILITY Studio

Smart transformation of engineering work-products between any SE tool or environment.

RAT - AUTHORING Tool

RAT - AUTHORING Tool

Enables AI-guided authoring to assure terminology coherence, and textual / models’ correctness, consistency, and completeness.

MBSE Modeler

MBSE Modeler

Produces SysML V2 models in a simple, collaborative, and easy manner, connecting with the rest of the SES ENGINEERING Studio capabilities. Makes SysML V2 models reusable.

Measure Systems Engineering And Reuse

Measurement Studio

Measurement Studio

Quality scoreboards, MOE / MOPs / TPM / KPIs calculated automatically from engineering information.

Deploy Without Disrupting Your Tools, Just Solving Existing Problems

1. Connect your engineering tools

Step 1 - Connect your engineering tools

2. Build a semantic knowledge layer

Step 2 - Build a semantic knowledge layer

3. Automate quality, reuse, and metrics

Step 3 - Automate quality, reuse, and metrics

4. Scale across teams and programs

Step 4 - Scale across teams and programs

No tool replacement required

Built for Complex Systems Engineering

Trusted by engineering teams in aerospace & defense, automotive, railway, energy, and telecommunications. Supports ISO 15288 compliance, MBSE, and Digital Engineering.

By providing a solution that offers rigorous change and configuration management of requirements, model elements, diagrams, parts, simulations, and functions, TRC’s SES ENGINEERING Studio enables a model-based ecosystem that is not based on only documents or a single ALM/PLM solution.

Peter Bilello

CIMdata

Effective system engineering needs to have an interoperability framework that removes confusion and ambiguity. The REUSE Company’s SES ENGINEERING Studio is such a framework.

Craig Brown

CIMdata

Ready to Scale Engineering Reuse

Across Your Organization?

Join leading aerospace, automotive and defence teams already using SES ENGINEERING Studio.