
Dalus is an AI-powered systems engineering software designed to help engineering teams model complex systems, manage and verify requirements, and preserve engineering knowledge collaboratively. It targets industries such as robotics, automotive, aerospace, defense, and energy. The platform addresses challenges in modern hardware development like system complexity, messy requirements management, and siloed collaboration by providing tools for requirements management, system architecture modeling based on SysMLv2, analysis and verification with Python and MATLAB integration, and live collaboration features. Dalus differentiates itself with AI capabilities like Dalus Copilot for generating models, retrieving information, and spotting issues, along with version control and upcoming integrations with tools like GitLab, Simulink, Jira, and Slack. It offers tiered pricing plans including Basic, Pro, and Enterprise with features scaling from limited models to custom deployments and ITAR compliance, positioning itself as a modern, efficient solution for complex systems engineering workflows.

Dalus is an AI-powered systems engineering software designed to help engineering teams model complex systems, manage and verify requirements, and preserve engineering knowledge collaboratively. It targets industries such as robotics, automotive, aerospace, defense, and energy. The platform addresses challenges in modern hardware development like system complexity, messy requirements management, and siloed collaboration by providing tools for requirements management, system architecture modeling based on SysMLv2, analysis and verification with Python and MATLAB integration, and live collaboration features. Dalus differentiates itself with AI capabilities like Dalus Copilot for generating models, retrieving information, and spotting issues, along with version control and upcoming integrations with tools like GitLab, Simulink, Jira, and Slack. It offers tiered pricing plans including Basic, Pro, and Enterprise with features scaling from limited models to custom deployments and ITAR compliance, positioning itself as a modern, efficient solution for complex systems engineering workflows.
What they do: AI-powered model-based systems engineering (MBSE) platform for requirements, system architecture, analysis/verification, and knowledge preservation
Target customers: Engineering teams in aerospace, defense, automotive, robotics, and other regulated hardware industries
Founding: Founded in 2024; headquartered in San Francisco, CA
Recent funding: Seed round announced Mar 12, 2025; investors include Y Combinator and Rebel Fund
Complex hardware systems engineering in regulated industries where requirements, architectures, verification, and knowledge retention are fragmented and error-prone.
2024
Data and Analytics
Investors listed include Y Combinator and Rebel Fund