Illoca Launches Plamo, an AI-Powered 'Vibe Modeling' Platform for 3D Design

The complex and time-consuming world of 3D design, particularly in architecture, engineering, and construction (AEC), is poised for a significant shift with Illoca's beta launch of Plamo. This new agentic AI platform aims to transform how designers translate creative intent into editable 3D models, moving beyond traditional CAD's rigid workflows.
Illoca, a California-based AI startup, has introduced Plamo, a browser-based agentic 3D modeling workspace designed to convert sketches, reference images, drawings, and natural language into editable parametric geometry. This launch marks a significant step towards making advanced 3D design more intuitive and accessible, particularly for the architecture, engineering, and construction sectors. Plamo is the company's second product, following Tracing Paper, an AI-assisted tool for rapid architectural prototyping.
The core innovation behind Plamo is its 'Agent and Canvas' workflow, which Illoca describes as 'vibe modeling'—a concept akin to 'vibe coding' in software development. Instead of meticulously detailing every parameter, designers can articulate their vision in plain language or through visual inputs. The AI agent then interprets this intent, building the project node by node on a dynamic canvas, allowing users to approve changes, let the agent work autonomously, or intervene at any stage. This approach aims to reduce the manual effort typically associated with 3D modeling.
Traditional CAD software often requires designers to translate abstract ideas into precise, often cumbersome, commands and measurements, leading to a disconnect between creative thought and digital execution. Plamo seeks to bridge this gap by prioritizing the designer's intent, allowing for more fluid exploration of design alternatives. The platform can recreate buildings, combine multiple references, integrate structural or MEP systems, and even reorganize geometry to match project conventions, while also researching missing information or asking for clarification when intent is ambiguous.
Founded by former Autodesk AI Lab, Google DeepMind, and Tesla staff, Chin-Yi Cheng (CEO) and Chiaowei Yu (COO), Illoca brings deep expertise from both generative AI research and practical BIM implementation. Their vision is to free architects and engineers from the laborious task of transcribing ideas into tools, enabling them to focus more on creative problem-solving and iteration. This shift could accelerate project timelines and foster greater collaboration across design and construction teams.
The company previously secured a $13 million seed round in May 2026, led by Bessemer Venture Partners, with participation from AIX Ventures, Root Ventures, and Alt Ventures, signaling strong investor confidence in its AI-native design engine. The beta release of Plamo, which includes 1,000 free credits, positions Illoca to disrupt conventional design workflows by offering a more agile and intelligent alternative that resonates with the evolving demands of the AEC industry.
INTELLIGENCE BRIEF
WHY IT MATTERS
The AEC industry has long grappled with the rigidity and steep learning curves of traditional 3D modeling software, often hindering early-stage creative exploration. Illoca's Plamo addresses this by offering an AI-native approach that prioritizes design intent, potentially democratizing access to complex 3D design and accelerating the initial phases of architectural and engineering projects. This shift could lead to more innovative and efficient building processes.
WHO IS INVOLVED
Illoca (featured company); Chin-Yi Cheng (Co-founder & CEO); Chiaowei Yu (Co-founder & COO); Bessemer Venture Partners (lead investor); AIX Ventures; Root Ventures; Alt Ventures.
MARKET IMPACT
Plamo's introduction could significantly impact the AEC software market by challenging the dominance of traditional CAD tools. By enabling 'vibe modeling,' Illoca is pushing the industry towards more intuitive, AI-driven design processes that cater to creative intent rather than technical precision in early stages. This could foster a new wave of design innovation and efficiency, potentially influencing how other software providers integrate generative AI into their offerings.
This story was drafted with AI assistance and reviewed by TurkSpark editors before publication. Facts, figures, and names may be inaccurate — verify important details independently.


