IncQuery Suite

Systems Engineering Pain Points

Contemporary Model-based Systems Engineering (MBSE) practices promote the migration from text-based to structured data-based systems modeling. In such a workflow, each different system aspect can be defined using a dedicated tool. However, the increasing complexity of projects combined with the wide range of tool solutions introduces a number of challenges.

No Global
Consistency

Difficult
customization

Vendor
lock-in

Limited data
access

No global
consistency

End-to-end validation through the complete digital thread is hard to ensure across the entire toolchain, due to technological heterogeneity and lack of integration between tools from different vendors.

Difficult
customization

Most proprietary engineering tools are closed ecosystems where customer-specific tailoring is very expensive, if possible at all.

Data
lock-in

As long as your engineering data is locked into proprietary silos, you cannot fully unlock its potential without relying on expensive and limited services from the tool vendors.

Vendor
lock-in

As a consequence of data lock-in and expensive customization, most organizations spend a lot of time and money on toolchain maintenance and integration - throughout projects, across product lines, for many years.

No Global
Consistency

End-to-end validation through the complete digital thread is hard to ensure across the entire toolchain, due to technological heterogeneity and lack of integration between tools from different vendors.

Difficult Customization

Most proprietary engineering tools are closed ecosystems where customer-specific tailoring is very expensive, if possible at all.

Vendor
lock-in

As a consequence of data lock-in and expensive customization, most organizations spend a lot of time and money on toolchain maintenance and integration - throughout projects, across product lines, for many years.

Data
lock-in

As long as your engineering data locked into proprietary silos, you cannot unleash its full potential without relying on expensive and limited services from the tool vendors.

The Main Source of Headaches are
Proprietary Data Silos

The Root of the Problem

Proprietary and closed tool ecosystems are the root of the problem. Tools from different vendors rarely work together seamlessly. Customer-specific functionality needs often can only be realized with a lot of compromises that hinder productivity.

That's Why the IncQuery Suite Was Created

The IncQuery Suite is a revolutionary product that changes the way you do MBSE. It can efficiently extract your engineering data from proprietary silos, to create a unified, searchable and analyzable representation of your complete digital thread. Using web-based interfaces that integrate seamlessly with modern tools, the IncQuery Suite helps you to create detailed validation reports and analysis dashboards, as well as feed your engineering data into automated workflows.

Validation Workflows and Reports

Automatically validate your SysML or other engineering projects, using standard well-formedness checks (e.g. OMG UML, SysML, UPDM, UAF or others), as well as your custom-built rules. Build continuous integration/validation workflows for your systems engineers.

Interactive Analysis Dashboard

Building on the Jupyter open source ecosystem, IncQuery Suite empowers your analysts and engineering experts to create in-depth, interactive, visual documents and dashboards that provide unique insight into your digital thread.

Engineering Data Queries

Search, query and analyze your complete digital thread. Using powerful graph query languages such as VQL, SPARQL, as well as ElasticSearch full-text search, your experts can gain unprecedented insight into your engineering data at a very fine-grained level.

Tool Integration Platform

The IncQuery Suite can efficiently extract your engineering data from open as well as proprietary tools and repositories. Using this data, IncQuery maintains a uniform, easily accessible, structured knowledge graph capturing design data that semantically integrates all relevant engineering disciplines.