Dalus
AI-native SysML v2 MBSE platform for hardware teams to model architecture, requirements, and verification.
If your team is committing to SysML v2 and you want AI to carry the modeling grunt work, Dalus is the most interesting option to trial right now. The MCP Connector, Part Library beta, and Requirements Views all landed in the last quarter, so the product is genuinely shipping rather than coasting. Compliance is unusually complete for this category — SOC 2 Type 2, AWS GovCloud, on-premise, EU residency. Just price editor seats carefully: Basic at $99/editor/mo caps you at 3 models, and Pro at $249/editor/mo is where unlimited models start. Legacy Cameo Systems Modeler still wins on ecosystem maturity.
Verified 7d ago · liveness 72/100 · cite: rightaichoice.com/tools/dalus
- Systems engineers in aerospace, defense, automotive, robotics, and energy adopting SysML v2
- Hardware teams that want AI to draft system models from requirements instead of modeling by hand
- Programs that must clear SOC 2, ITAR/EAR, or GDPR reviews and need GovCloud or on-prem hosting
- Small-to-medium engineering teams piloting MBSE on a $0 or $99/editor/mo budget
- Software-only teams that just need UML or architecture diagrams
- Groups needing mature, production-grade model version control today (still in beta)
- Anyone planning to run real programs on the free tier (1 model, 250 elements)
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Skip Dalus if your team only needs UML or diagramming rather than SysML v2 systems models, or if you need mature, production-grade model version control today — Version Control is still in beta.
Editor seats are the real cost driver: Basic runs $99/editor/mo and Pro $249/editor/mo, so a ten-engineer program pays roughly $990 to $2,490 every month.
Dalus is priced for pilots and mid-size hardware programs rather than enterprise-wide rollouts: Free costs nothing, Basic is $99/editor/mo and Pro $249/editor/mo, with Enterprise quoted as Custom. That undercuts the seat economics of mature commercial MBSE suites, but Pro seats still add up quickly across a large program, and cheaper diagram-only tools will look attractive to teams that do not need SysML v2 modeling depth.
In short
Dalus — AI-native SysML v2 MBSE platform for hardware teams to model architecture, requirements, and verification. Best for Systems engineers in aerospace, defense, automotive, robotics, and energy adopting SysML v2, Hardware teams that want AI to draft system models from requirements instead of modeling by hand, Programs that must clear SOC 2, ITAR/EAR, or GDPR reviews and need GovCloud or on-prem hosting. Free to start; paid plans from $99/user/mo.
What's new in Dalus
Checked 7 days agoAcross the latest 5 updates: 5 feature updates.
Requirements Views and Copilot Skills
Compare and edit requirements in the view that suits your review, and give Copilot reusable skills and standing guidance for repeated modeling tasks.
Part Library (Beta)
Reusable, versioned part definitions shared across your team — publish an element as a version and stamp it into any model, with each usage choosing when to update.
MCP Connector
Claude, ChatGPT, and any other MCP client can search your models, make changes, write action scripts, and render screenshots of the canvas.
Version Control (Beta)
Git-style version control for your models — branch, review, and merge changes with a protected main; rolling out in beta.
SysML v2 Import & Export
External SysML v2 models can be brought into Dalus for the first time, and your own models exported to SysML v2 with more control than before.
What people actually say about Dalus — is it worth it?
We scanned public community sources for Dalus on Jul 3, 2026 and could not establish that the discussion we found is about this tool rather than something else sharing its name. Our own analysis of that scan says the posts were off-subject. Rather than publish a sentiment score built on the wrong subject, we publish nothing here and re-run the scan.
Viability Score
How well maintained and how widely used is Dalus? Built from what the vendor actually publishes (docs, changelog, tutorials, integrations, pricing), whether the site is live, and how much real users discuss it. How we calculate this
Last calculated: October 2026
How we score →Key Features
- AI Copilot generates structured system architectures from extracted requirements
- SysML v2 modeling with import and export of external models
- Requirements management with status tracking and engineer assignment
- Requirements Views for comparing and editing requirements (Oct 2026)
- Copilot Skills with reusable guidance for repeated tasks (Oct 2026)
- Part Library (Beta) with versioned, reusable part definitions (Sep 2026)
- MCP Connector to search, modify models, and write action scripts from Claude and ChatGPT
- Render canvas screenshots inside AI assistants via MCP
- Version Control (Beta) with branch, review, merge, and protected main
- System architecture decomposition into subsystems, parts, and interfaces
- Analysis and verification coupling behavior with simulation
- Python scripting across states and functions
- Test case planning with step-by-step procedures and full traceability
- System safety and hazards with severity and likelihood risk scales
- Live collaboration with branching workflows and role-based permissions
About Dalus
Dalus is a model-based systems engineering (MBSE) platform for hardware teams, built on the SysML v2 specification. You model system architecture as subsystems, parts, and interfaces; manage requirements with status tracking and owner assignment; plan and trace test cases; and assess system safety with hazard and mitigation records — all in one collaborative environment rather than a stitched-together set of legacy tools and spreadsheets. An AI Copilot drafts structured system models from extracted requirements, retrieves information, and flags issues. Analysis and verification couples behavior with simulation, and you can run Python scripts against different states and functions. Recent releases added an MCP Connector (Aug 15, 2026) that lets Claude, ChatGPT, and other MCP clients search your models, make changes, write action scripts, and render screenshots of the canvas; a Part Library in beta (Sep 1, 2026) for versioned, reusable part definitions; Requirements Views and Copilot Skills (Oct 1, 2026); Git-style Version Control in beta with branch, review, merge and a protected main (Jul 15, 2026); and SysML v2 import/export (Jul 1, 2026). It is aimed at systems engineers in aerospace, defense, automotive, robotics, and energy, and leans on compliance: SOC 2 Type 2, AWS GovCloud infrastructure to help meet ITAR and EAR requirements, on-premise hosting, and EU data residency. A free tier (1 model, up to 250 elements, unlimited viewer seats) is available for exploration, and students with a .edu address can request a free Pro plan via a student demo booking.
Behind the Verdict
Dalus takes a modern swing at a category that has been dominated by desktop-era tools. The core structure follows SysML v2: you decompose a system into subsystems, parts, and interfaces, track requirements with statuses and assigned engineers, plan test cases with step-by-step procedures and traceability, and record hazards with severity and likelihood scales plus documented controls. Mission planning covers stakeholders and program phases from concept through disposal. The AI layer is the differentiator. The Copilot generates structured system models directly from extracted requirements, so you skip most of the manual modeling setup, and it retrieves information and flags issues on demand. As of the Oct 1, 2026 release you can also give the Copilot reusable skills and standing guidance, and compare requirements across multiple views. Analysis and verification couple behavior with simulation, and Python scripting lets you run scripts across different states and functions. The Aug 15, 2026 MCP Connector is the feature worth understanding before you commit: it exposes your systems model to Claude, ChatGPT, and any other MCP client, which can search models, make changes, write action scripts, and render canvas screenshots. That means your modeling work becomes queryable from the assistants your team already has open. The tradeoff is that teams unfamiliar with MCP tooling face a learning curve, and it widens the surface through which models can be touched. Version Control is still beta (opened Jul 15, 2026) and so is the Part Library (Sep 1, 2026), so groups that need mature, production-grade branching today should plan accordingly. Part Library does have a sensible design: publishing mints a new version and every usage chooses when to update, so nothing propagates behind your back. Where it fits: regulated hardware programs in aerospace, defense, automotive, robotics, and energy that need ITAR/EAR posture via AWS GovCloud, full data sovereignty via on-premise, or GDPR via EU data residency, and teams that want AI to draft models from requirements instead of building them by hand. Where it does not: software-only teams that need UML or architecture diagrams, and organizations that require deep interoperability with entrenched legacy MBSE toolchains.
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Real-world workflow fit
Concrete scenarios for the personas Dalus actually fits — and what changes day-one when you adopt it.
Import an existing SysML v2 model, let the AI Copilot draft the initial architecture from the program requirements, then compare requirements across views before the design review.
Outcome: A modeled architecture with traced requirements in a single environment instead of a spreadsheet plus a legacy desktop tool, with reviewers reading the model in free viewer seats.
Stand up the program on AWS GovCloud, set role-based permissions across subcontractors, and track hazards with severity and likelihood scales through to documented mitigations.
Outcome: A traceable requirements, architecture, and safety record that stands up to audit, with data staying inside the compliant boundary.
Connect Dalus through the MCP Connector so engineers can search the systems model, write action scripts, and pull canvas screenshots without leaving the assistant.
Outcome: Model edits and lookups happen where the team already works, cutting context switching between the modeling tool and the AI assistant.
Use Cases
- Model system architectures for a new satellite communication system using SysML v2
- Manage and trace requirements across subcontractors for an automotive ADAS project
- Run Python-based simulations to verify behavior of a robotic arm subsystem
- Collaborate with a distributed team on a defense drone program with role-based permissions
- Conduct trade studies and Excel analysis to select optimal powertrain design options
- Identify hazards and document mitigations for a medical device system safety case
- Query and edit your systems model from Claude or ChatGPT via the MCP Connector
- Publish a versioned part definition once and stamp it into multiple program models
Models Under the Hood
as of 2026-10-10
Limitations
- Dalus is built for regulated hardware teams (energy, defense, aerospace, automotive, robotics) and models in SysML v2, so it is a poor fit for teams that only need UML or generic architecture diagrams.
- Tier limits are structural: Free gives you 1 model up to 250 elements, Basic at $99/editor/mo caps you at 3 models, and unlimited models start at Pro at $249/editor/mo.
- Version Control and the Part Library are both still in beta as of late 2026.
- The MCP Connector exposes models to external AI clients, so teams unfamiliar with MCP tooling may face a learning curve, and AI-connected workflows (search, model changes, action scripts, canvas screenshots) depend on an MCP client such as Claude or ChatGPT being connected.
as of 2026-10-04
Verification history
We have re-verified Dalus 9 times since . Each pass re-reads the vendor's own pages and re-checks every listed field against that evidence; passes where nothing had changed are marked as such.
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
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12-month cost
Project the real annual outlay, including the implied monthly cost when only an annual tier is published.
Vendor list price only. Add-on usage, seat overages, and contract minimums are surfaced under Hidden costs & gotchas.
Plans compared
For each published Dalus tier: who it actually fits, and what it adds vs. the previous tier. Cross-reference the cost calculator above for projected annual outlay.
Free
$0/mo
Ideal for
A single engineer or a small team evaluating whether SysML v2 modeling fits their hardware program.
What this tier adds
Free entry point: 1 model, up to 250 elements, unlimited free viewer seats, real-time collaboration.
Basic
$99/editor/mo
Ideal for
A pilot team of a few engineers running one to three active models who need AI drafting on every model.
What this tier adds
Adds up to 3 models, editor invites, and unlimited AI usage over Free.
Pro
$249/editor/mo
Ideal for
Growing hardware programs running multiple models or variants that need support and training behind them.
What this tier adds
Removes the 3-model cap with unlimited models and adds dedicated support and training.
Enterprise
Custom
Ideal for
Regulated organizations that need on-premise deployment, SSO/SAML, and bespoke integrations.
What this tier adds
Adds on-premise deployment, SSO/SAML authentication, and custom features and integrations over Pro; priced Custom.
Free Pro Plan for students
$0/mo
Ideal for
Systems engineering students who want full Pro capability for coursework and research.
What this tier adds
Free Pro-level access, set up by booking a student demo with a .edu email address.
Where the pricing makes sense
The company stage and team size where Dalus's pricing actually pencils out — and where peers do it cheaper.
Dalus is priced for pilots and mid-size hardware programs rather than enterprise-wide rollouts: Free costs nothing, Basic is $99/editor/mo and Pro $249/editor/mo, with Enterprise quoted as Custom. That undercuts the seat economics of mature commercial MBSE suites, but Pro seats still add up quickly across a large program, and cheaper diagram-only tools will look attractive to teams that do not need SysML v2 modeling depth.
Setup time & first value
How long it actually takes to get something useful out of Dalus — broken out by persona, not the marketing-page minute.
A single engineer can create a model and start drafting requirements the same day on the free tier, since the Copilot generates structure from extracted requirements. A small team on Basic reaches useful collaboration within a week once roles and editor seats are sorted out. Enterprise on-premise or GovCloud deployment is an IT project measured in weeks, not hours, because it involves
Switching to or from Dalus
How to bring data in from common predecessors and how to get it back out — written for the switcher, not the buyer.
- →From spreadsheets: Import requirements and use the AI Copilot to generate structured system models, then keep status and ownership in Dalus.
- →From Cameo Systems Modeler: Import existing SysML v2 models using the SysML v2 import shipped Jul 1, 2026 and rebuild project structure in Dalus.
- →From document-based requirements tools: Use the Documents Hub (Excel and Word support in the Documents Hub) to bring existing requirement documents in.
- →From a legacy MBSE tool with a non-SysML format: Export to SysML v2 from the source tool first, then import, since Dalus models in SysML v2.
- ↗To Cameo Systems Modeler: Export your Dalus models to SysML v2, then bring them into the legacy toolchain.
- ↗To a diagram-only tool: Export to SysML v2 for the model itself, but accept rework for requirements traceability, safety records, and test cases.
- ↗To a general-purpose AI assistant workflow: Keep the MCP Connector pointed at the model so external tools retain read access during transition.
Integrations
Resources & Guides
Tutorials & Learning
YouTube returned 6 videos for “Dalus”, and we withheld 6: 6 could not be judged, because “Dalus” is a single word that other videos use for other things. We are showing none, because we could not prove any of them are about Dalus.
Official links
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Featured Head-to-Head Comparisons
Dalus vs Surge Ai
Dalus and Surge AI serve completely different needs. Choose Dalus if you're a systems engineer modeling hardware with SysML v2 and need AI-assisted model generation, SOC 2 compliance, and collaboration. Choose Surge AI if you're training frontier AI models and need expert human feedback for RLHF, red teaming, or complex benchmark evaluation. They are complementary, not competitors.
Dalus vs Praktika
Praktika and Dalus address completely different domains — language learning vs. systems engineering. Choose Praktika if you want to improve spoken fluency with AI tutors; choose Dalus if you are a hardware engineer needing AI-assisted SysML v2 modeling with compliance features. The decision hinges on your professional or learning needs.
Alternatives to Dalus
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Bito
Bito Governor is an AI model router with a code context engine that cuts coding-agent spend by grounding every request in your codebase.
Formula Bot
Better Analyst — formerly Formula Bot — turns plain-English data questions into charts, dashboards, spreadsheets, and scheduled analytics workflows.
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