2/28/2026

Dalus

Next-generation AI-driven Model-Based Systems Engineering (MBSE) software built on SysML v2, enabling hardware development teams in aerospace, defense, automotive, energy, and robotics to collaboratively model system architecture, simulate performance, and manage requirements.

Disclaimer: This report is based on publicly available information and AI analysis. It does not constitute investment advice. Always conduct your own due diligence before making investment decisions.
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Dalus

Next-generation AI-driven Model-Based Systems Engineering (MBSE) software built on SysML v2, enabling hardware development teams in aerospace, defense, automotive, energy, and robotics to collaboratively model system architecture, simulate performance, and manage requirements.

42
Risk
Execution, regulatory & market risk
58
Team
Experience, domain fit & gaps
72
Market
TAM size, growth rate & timing
45
Traction
Evidence of demand & momentum

Executive Summary

Dalus is a YC W25 seed-stage startup building AI-native MBSE software on SysML v2 — targeting a real, growing market ($2.8–3.3B in 2024, 12% CAGR) that is dominated by deeply entrenched incumbents including Siemens, Dassault, IBM, and Ansys. The founding story is credible — co-founder Eliot Khachi's firsthand aerospace I&T experience at L3 Harris and Aerojet Rocketdyne grounds the product in genuine pain — and the AI copilot differentiation is real today, but it's likely a 12–24 month window before well-resourced incumbents ship comparable features. The single biggest risk is not the product or the market; it's the structural mismatch between a 3-person pre-seed startup and the procurement reality of aerospace and defense enterprise sales — long cycles, stringent compliance requirements (ITAR, CMMC, FedRAMP, DO-178C tool qualification), and massive switching costs that protect the incumbents. The most viable near-term path is a beachhead in new-space, defense tech, and robotics startups — not prime contractors.

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