Today we're announcing the Dalus MCP server.
If you are building hardware systems, you can set your requirements and system design now on autopilot.
The demo shows three examples. Auditing the model's requirements against a live Jira board, generating a System Requirements Specification straight from the model. And asking the model questions from your Software IDE.
We're also launching a public library of 50+ Systems Engineering workflows with predefined prompts for connecting your Dalus model to the rest of your engineering stack: Jira, Teamcenter, Fusion, Simulink, Cameo, Polarion, and many more.
https://t.co/vf3KGcMqwU
Last week we launched version control in Dalus: git-style branching, review, and merging for hardware systems engineering.
Software teams have worked this way for twenty years. Systems engineers never got the chance. Their reality is still file copies, locked models, and comparing versions by eye, on the programs where a missed change hurts the most.
That era is over now. In Dalus, your whole team works on the same model at the same time, everyone can try ideas without breaking anything, every change gets reviewed before it counts, and the full history of who changed what and why is always one click away.
If your team wants in: https://t.co/8CvBQm2KxW
Something I'm proud of is the Education Program we've built up at @Dalus_io this year
More than 30 universities across the USA, Germany, France, Australia, the Philippines, and many other countries are using the free Education Plan.
Student clubs and professors run it in their aerospace, mechanical, and systems engineering courses.
The mission behind it is simple. We want model-based systems engineering to be something anyone in the world can pick up, and that has to start at the university, before the expensive tools and the deadlines.
So to every student and every club using Dalus: thank you. Supporting your work is one of the best parts of this job.
Learn how IOX Lab is using Dalus to bridge the gap between hardware and software in IoT products and systems engineering.
Based in Germany, IOX Lab specializes in building connected products from start to finish, including embedded hardware, applications, and cloud solutions.
Previously, they relied on Confluence to capture system knowledge, but it frequently fell behind.
Now, their entire team, along with their customers, can navigate a single, dynamic system model, ensuring that knowledge is retained across projects.
I had the opportunity to sit down with Matthias to discuss their transition to this more effective approach.
Continuous Design Reviews with AI, in addition to manual human reviews is the future.
50% of product defects and 80% of all rework effort trace back to requirements errors.
Fixing a requirements error during the requirements phase costs 1 unit. Find it during integration: 21 to 78 units. During operations: up to 1,500x more.
We're still early. But the cost of finding problems late is too high to rely on periodic human review alone.
Most teams still shuttle data between Excel, Requirements Tools, and CAD manually. The model is decoration.
At Dalus, we made the model actually work. In this demo, our AI copilot catches a failing requirement, updates a design variable, validates it with a Python script, and pushes the change to the CAD file with our new Onshape Integration. Automatically.
That's not a slide deck. That's a live, connected engineering workflow.
Here is what's new in @Dalus_io for 2026 🌊
1) Trade Studies
2) Test Case Planning
3) Hazards & System Safety Analysis
4) Dedicated EU Servers & AWS GovCloud for users with ITAR & CUI requirements
Systems Engineering has stayed theoretical for decades. Dalus turns system architecture into something engineers can actually build, down to CAD.
@Dalus_io 🤝 @Onshape
Here's what's new in Dalus for November 🔔
1) Excel Integration
Our most-requested integration is finally here. Users can now integrate their OneDrive account in one click to reference Excel files for their Analysys in Dalus bidirectionally. (Works also locally by uploading the Excel file)
2) Trade Studies
Trade Studies are an essential tool for the systems engineer to make decisions in the system design process. It allows users to systematically compare design alternatives by defining weighted criteria, scoring each alternative against those criteria in a matrix, and automatically calculating weighted scores to identify the recommended option. (Hint: Our AI can do this for you automatically)
3) Perform Analysis with our Copilot
Our AI Copilot can now assist in creating scripts for Analysis in Python or MATLAB, allowing systems engineers to incorporate executable computational logic and visualizations into their models via natural-language requests.
Can't wait to share with you all the other things in the works that will be released next month.
Dalus is the only and last systems engineering tool your organization will need
One of the most critical focus areas of the new Acquisition Transformation Strategy by the @DeptofWar is modernizing systems engineering processes and tools to keep pace with technological advancements.
We are proud to support this effort with @Dalus_io
Learn how Dalus helps @DefendTex build defense systems without surprises.
DefendTex is an Australian defense company that designs and fields unmanned and autonomous systems with a lean, fast-iterating team, serving government and defense customers across Australia and allied nations.
Using Dalus, they moved from document-driven to model-based systems engineering, reducing rework and speeding delivery.
honestly messages like this make my day. for context, cameo by dassault is the existing legacy tool for the last 30 years in our industry, and that guy worked on every program you can imagine, including leading structural engineering for the F-35
the david vs goliath fight in the engineering software industry is tough, but we are winning more and more head-to-head races against the incumbent and that feels really good
At Dalus, we're building software for the next generation of systems engineers.
System Architecture, Requirements, ConOps, V&V, all in one collaborative SysMLv2-native environment with an intuitive interface that any engineer in the company can use.
We make a strong bet that the company that leverages AI in its systems engineering processes will outperform the one that doesn't, which is why it's a key part of our software.
Dalus is already used by companies of all sizes, from startups to Enterprises with over 10k employees. We implement the highest security standards, so sensitive and regulated data is safe to use within Dalus.
Our mission is to enable every company that has struggled in the past with their MBSE adoption to get started quickly and easily, and see the benefits of implementation in days, not months.
🔒 At Dalus, security isn’t just a checkbox; it’s the foundation of trust in an era defined by AI and working in regulated industries like aerospace or defense.
That’s why we’re proud to share that Dalus is now SOC 2, Type 1 Compliant. 🎉
Why does SOC 2 matter?
- It validates that our security controls are thoughtfully designed and aligned with industry best practices.
- It demonstrates our commitment to building trust from day one.
- It lays the groundwork for ongoing audits and continuous improvement.
AI adoption in engineering and complex hardware industries is accelerating. With Dalus, you can innovate faster, knowing your systems and data are protected by enterprise-grade, independently audited security.
Our TYPE 2 certification is already in progress and should be completed soon as well.
This week, we had the pleasure of presenting Dalus at the Monthly SysMLv2 Readiness Forum hosted by the @DeptofDefense USD(R&E).
We shared our thoughts on the implementation in Dalus and our learnings from users, who are early adopters of the new modeling language.
A recording of this session should be available soon in the DEBoK.