AI+AEC in News · AEC Magazine

Qonic AI launches inside BIM platform

Excerpt from AEC Magazine

AI agents work directly inside the model, letting users find, check, fix and create BIM data using plain language Qonic has introduced Qonic AI, a collection of agents built into its cloud-based, collaborative BIM modelling platform. Qonic AI works directly inside the BIM model, rather than sitting alongside it. Qonic has also launched an MCP server, which lets users connect their own AI assistant to the platform. Inside Qonic, through the “Ask Qonic” chatbot, users describe what they want in plain language, and Qonic’s agents find, check and update elements using the platform’s own tools. Tasks include completing missing properties, building reports and editing geometry. “Anything you can do in Qonic in terms of geometry and data creation, editing, and manipulation can be done through prompting,” said Qonic’s Jacob De Sutter.

Published by AEC Magazine · 5 Nov 2026

Read the full article on AEC Magazine

Image: AEC Magazine, shown from the publisher’s website.

Key terms in this story

AI agent: An AI agent is software that uses an AI model to carry out a multi-step task towards a goal — reading inputs, deciding next steps and using tools — usually with a person approving key actions.
BIM (building information modeling): Building information modeling (BIM) is a way of designing and managing buildings using intelligent 3D models whose elements carry information such as type, size, material and quantity.
Prompt engineering: Prompt engineering is the practice of writing clear instructions, context and examples for an AI model so that it produces useful, consistent output.

How can your firm use this?

CloudBrain helps architecture, engineering and construction firms in India turn developments like this into working tools. Related service:

BIM & data integrationIFC/DXF pipelines, data platforms and project dashboards.

Topics

The headline and excerpt are from AEC Magazine, which owns them; CloudBrain is not affiliated with AEC Magazine. Read the original article (opens in a new tab) · All AI+AEC news

AEC Magazine · 10 Nov 2026
Trimble embeds AI across AECO
Trimble Connect platform introduces AI agents and automation to improve project coordination, manage risk and streamline workflows Trimble has embedded AI within Trimble Connect , expanding the platform beyond its traditional role as a common data environment (CDE) to connect site information with design, cost and operational workflows. The new capabilities are intended to help teams identify and mitigate risks across the project lifecycle, while keeping human judgement at the centre of decision-making. Unveiled at Trimble’s Dimensions User Conference, the AI capabilities span design, construction and project operations. In design, they include generating architectural options using live as-built point-cloud data, converting natural-language prompts into constructible structural models, and automatically classifying scanned point clouds into structural elements. For construction teams, applications include AI-powered diagnostics for machine-control systems, converting 360-degree site walk videos into 3D point clouds, and voice-driven site inspections that automatically transcribe observations and link them to project drawings.
Summary and context →Read on AEC Magazine (opens in a new tab)
AEC Magazine · 10 Nov 2026
G2 Digital launches quad-GPU 2U server
UK-manufactured 2U Q-Power offers firms an on-premise alternative to premium cloud AI services G2 Digital, a UK specialist in custom-built rack-mount computers, has launched the 2U Q-Power, a high-performance GPU server designed for complex AI workloads and rendering. The system can accommodate up to four dual slot Nvidia RTX GPUs, offering twice the capacity of most conventional 2U servers and greater computing density within a rack. This is made possible by a custom chassis design that mounts the GPUs horizontally, parallel to the motherboard. When configured with four Nvidia RTX Pro 6000 Blackwell Max-Q GPUs, the Q-Power delivers 384 GB of combined GPU memory, enabling organisations to run demanding AI workloads entirely on-site. This includes large language models (LLMs) with 70 billion parameters at full precision, as well as significantly larger models using lower-precision formats and quantisation.
Summary and context →Read on AEC Magazine (opens in a new tab)
Archinect · 9 Nov 2026
AI companies are offering architects six figures for CAD files; have you been approached?
Artificial intelligence companies are turning to architects and other AEC firms in search of data. As tech enterprises seek to build AI models and agents to perform industry-specific tasks, such as reviewing drawings and writing RFI responses, architecture firms are being approached by businesses offering money in return for access to private data. “Architects, have you seen this?” asked USC adjunct professor Simon Ha in a LinkedIn post . “This AI company is offering to pay six figures for your CAD files, including revisions and markups, to train AI models on how design work gets done.” Ha’s post included a screenshot of a social media post by a company, Nyne.ai, describing itself as “the data factory for AI,” which said, “You’ve got 3 years of CAD files doing nothing. We’ll pay you six figures for them.” “This raises serious questions about copyright and ownership of instruments of service,” Ha added.
Summary and context →Read on Archinect (opens in a new tab)