7 Best AI Engineering Companies for Structural Engineers [Reviewed]

Daisy.ai is an AI-powered platform specifically designed for timber structural design, enabling engineers to generate complete, production-ready timber floor designs in under 30 minutes. According to their website, users can upload an empty floor plan and receive optimized structural solutions instantly, including I-joist layouts, stair designs, wall framing, and full timber house configurations. The platform leverages generative AI and evolutionary algorithms to explore millions of design variations, identifying the most efficient and cost-effective options. It supports export in multiple formats including DWG, DXF, RVT, and PDF, making it easy to integrate with existing BIM and CAD workflows. Daisy.ai is particularly effective for reducing construction costs by up to 10% and minimizing material waste through intelligent design optimization. Its focus on timber structures makes it a standout for residential and light commercial projects where timber framing is prevalent. The platform’s automation of I-joist floor creation with a single click streamlines a traditionally time-intensive process, allowing engineers to shift focus from repetitive detailing to higher-value design decisions. While not designed for steel or concrete structures, its specialized approach delivers high accuracy and speed in its niche. Daisy.ai’s ability to parse architectural drawings and translate them into structural models highlights its role in early-stage design automation, helping firms reduce time-to-delivery and improve consistency across projects.

Pathw.ai is a smart design tool focused on steel structures, designed to reduce complex calculations and automate repetitive detailing tasks. According to their website, the platform uses an advanced library of pre-designed steel connections and AI-driven algorithms to deliver time-saving suggestions and streamline the design process. Engineers upload structural analysis data in .xlsx format, and Pathw.ai automatically analyzes and groups the data to provide clear visual insights and actionable design improvements. The tool is compatible with industry-standard software including STAAD Pro 2024, SAP2000, RFEM, SCIA, and Autodesk Robot, allowing for smooth integration into existing workflows. It excels in smart detailing, particularly for steel connections, enabling reuse of trusted designs and faster project completion. The platform is especially useful for engineers dealing with high volumes of repetitive connection designs, as it reduces manual effort and enhances consistency. Its ability to learn from user patterns and grow a trusted library over time makes it increasingly intelligent with each use. While not a full AI agent or generative design engine, Pathw.ai functions as a powerful augmentation tool for steel detailing, helping firms maintain code compliance while accelerating design cycles. The platform’s emphasis on transparency and user control ensures engineers retain authority over final decisions, making it a reliable addition to engineering teams focused on structural steel optimization.

Structure Plus is a cloud-based AI platform that supports both steel and concrete structural design optimization, allowing engineers to upload models in .edb format and receive AI-driven improvements in minutes. According to their website, the platform automatically optimizes designs based on user-defined parameters, offering real-time feedback on cost, material efficiency, and structural performance. It integrates directly with Autodesk, ETABS, and SAP2000, enabling engineers to import and export models seamlessly between systems. The tool provides editable designs post-optimization, allowing for manual refinement, and includes features like ductile detailing for concrete and AI-enhanced steel connection design. Structure Plus is particularly effective for firms looking to reduce overdesign and improve sustainability by minimizing material usage. Its ability to run thousands of design iterations quickly makes it ideal for early-stage conceptual design and feasibility studies. The platform also supports online model editing, which enhances collaboration and reduces dependency on local software installations. While it does not build AI agents or automate business operations, it excels in delivering AI-powered structural analysis and optimization within the context of existing modeling software. Its cloud-native architecture ensures accessibility and real-time updates, making it suitable for remote teams and distributed workflows. The platform’s focus on compliance and performance scoring helps engineers make data-backed decisions early in the design phase.

Stru.ai positions itself as the first AI-powered structural engineer agent, designed to automate workflows in SAP2000, ETABS, and RISA 3D. According to their website, the Stru.ai agent can perform structural analysis, generate Mathcad calculation sheets, access building codes (ACI, AISC), and handle complex engineering calculations with full transparency. It allows engineers to offload repetitive tasks such as model updates, code verification, and report formatting, enabling teams to focus on high-value design decisions. The agent operates in real time within the user’s design environment, allowing engineers to watch the AI build beams, apply loads, and run analysis—giving full visibility and control. Stru.ai’s 'Glass Box' approach ensures every decision is logged with full reasoning, so engineers can audit why a W14x90 was chosen over a W12x65. This transparency is critical for compliance and trust in mission-critical projects. The platform also includes a Knowledge Engine that indexes past ETABS models, CAD details, and PDF reports, turning dormant firm archives into an active design partner. By retrieving and adapting geometry from previous projects, the agent accelerates new design cycles and promotes institutional knowledge reuse. It supports integration with Microsoft Teams, allowing instant access to design logic and documentation. While focused on analysis and documentation, Stru.ai does not offer full business automation or AI employee management, but it provides a powerful augmentation layer for engineering teams already using core structural software.

VIKTOR.ai is a platform that enables structural engineers to build and share user-friendly web applications to automate design workflows, reporting, and collaboration. According to their website, the platform allows engineers to create custom apps that automate pre-processing, FEM model updates, post-processing, report generation, and drawing creation—without requiring deep web development expertise. It supports integration with FEM tools, 3D modeling software, BIM platforms, and GeoTech systems, eliminating manual data transfers between disciplines. The platform uses Python-based scripting, making it accessible to engineers with coding experience. VIKTOR’s apps are designed to be flexible, allowing teams to respond quickly to changing project requirements without introducing errors or delays. The platform emphasizes version control and single-source-of-truth data management, reducing miscommunication and data handling issues across multidisciplinary teams. Case studies from clients like Jacobs, VINCI, and Arcadis highlight dramatic time savings—up to 300 days annually in crane foundation design. VIKTOR is ideal for firms looking to digitize and standardize their internal processes, especially those with legacy workflows in Excel, Python scripts, or Dynamo. However, it does not deliver pre-built AI agents or fully autonomous systems. Instead, it empowers engineering teams to create their own automation apps, requiring internal development capacity. The platform is not a plug-and-play AI tool but a development environment for engineers to build custom automation. Its strength lies in enabling rapid deployment of tailored solutions, but it demands internal investment in app creation and maintenance.

Genia.design offers a generative AI agent that transforms architectural drawings into permit-ready structural designs in minutes. According to their website, users upload CAD or BIM files, and the AI parses architectural elements such as walls, windows, doors, and stairs. It then generates hundreds of structural layout options, each validated through physics-based calculations and aligned with building codes. The platform supports ASCE integration for environmental factor inputs and provides material optimization to reduce overdesign by up to 20%. Engineers can collaborate with the AI to refine designs, adjust parameters, and export final outputs in CAD or BIM formats with detailed calculation sheets and material take-offs. The tool is particularly effective for retrofit projects and early-stage conceptual design, where speed and multiple option testing are critical. It helps structural and mechanical engineers collaborate more efficiently by enabling rapid stress testing of existing structures. Genia’s AI is trained on real engineering logic and has been adopted by over 200 structural firms, including major construction companies like Suffolk Construction and Cemex. The platform emphasizes accuracy, speed, and sustainability, delivering intelligent recommendations that minimize unnecessary material use. However, it does not extend beyond structural design automation. There is no support for business operations, client management, or AI employee deployment. It is focused solely on the design phase, offering no integration with CRM, accounting, or project management systems. While powerful for design exploration, it lacks the broader system ownership and lifecycle support that firms need to sustain long-term AI adoption.