At Trimble Dimensions, leaders at Trimble highlighted its strategy for artificial intelligence (AI) innovation, something that is on the top of everyone’s mind. The company’s vision focuses on accelerating the development and expansion of agentic AI within engineering and construction workflows, positioning AI as a "force multiplier" aimed at unlocking productivity and solving real-world customer problems at scale.
The Core Technology: Agentic AI Platform
Central to these initiatives is Trimble's agentic AI platform. This platform serves as a collection of core services, security frameworks, and tools that Trimble utilizes to build and deploy secure, scalable, and safe agentic AI systems. Trimble teams are leveraging this infrastructure to create AI agents designed to deliver tangible value to their customers, specific to the task at hand, instead of an overall general model.
The platform is envisioned to be open and extensible, aiming to unlock industry-scale innovation by allowing partners and customers to create and deploy their own AI agents and multi-agent workflows across Trimble's construction solutions.
Mark Schwartz, senior vice president of AECO software at Trimble, described the platform as the "engine" that will help Trimble, its partners, and customers extract more value from both their data and Trimble's solutions. Trimble announced that it is currently piloting a specific instance of this platform, Trimble Agent Studio, with select customers.
Strategic Goals and Ecosystem Connectivity
Trimble CEO Rob Painter noted that the AI advancements stem directly from the company's existing "Connect and Scale” strategy. This strategy focuses on building an industry ecosystem designed to break down data silos, thereby empowering customers to make smarter decisions, collaborate more effectively, and work faster. By embedding AI into its solutions and enhancing data flow, Trimble aims to take the next steps toward unlocking the power of connected data.
Ultimately, this technology is intended to empower the industry. Trimble emphasizes that customers have the power to implement this technology and unlock their data, allowing them to collectively "bend the curve of construction productivity that has been flat since the 1970s".
Practical AI Applications and Availability
The impact of Trimble’s AI capabilities were demonstrated across several areas:
Design and Modeling: Enabling users to generate 3D objects during the design phase by simply describing what they want to model, thereby eliminating manual steps typically required for modeling from scratch.
Field Operations: Converting voice memos captured in the field into documents, helping crews record status updates and reducing the time teams spend in front of computer screens back at the office.
Workflow Efficiency: Accelerating access to data and streamlining asset maintenance and permitting workflows.
Trimble is making innovative AI features available through Trimble Labs (Labs), an early engagement, pre-release program that allows customers to test new features and provide feedback. Several capabilities are already available in select regions, including the AI Render capability in Trimble SketchUp and the Tekla Structures User Assistant. Other agents, such as the Viewpoint Finance Assistant and Accubid Assistant, are expected to be available in Labs in early 2026.
Supporting the Developer Ecosystem
To further its strategy of industry-scale innovation, Trimble is committed to supporting a developer ecosystem. The company announced plans to host their first-ever dedicated developer conference within Trimble Dimensions 2026 in Las Vegas, which will be exclusively for third-party developers.
