Skip to content

Trimble Agent Studio

Trimble Agent Studio is an open, no-code AI agent builder available for creating and governing AI agents with deep domain expertise — no AI engineering required.

Why Agent Studio

Build domain-specific AI agents

Trimble Agent Studio is an open and extensible, no-code AI agent builder that provides everything you need to create and govern specialized agents that work the way you do.

Built for the work you actually do

Build valuable agents that query models, create geometry, analyze schedules and track job sites using your exact standards and workflows.

Knowledge your agents can trust

Attach knowledge libraries like specs, SOPs and RFIs so agents retrieve accurate context. Keep your domain intelligence current and governed.

Connect agents to real tools

Give agents secure access to live systems via Model Context Protocol (MCP) connectors for Trimble solutions and third-party integrations.

Give your agents custom skills

Package your team's procedures and standards as reusable skills. Build once and share across agents so they always work the way your company does.

Enterprise trust, built in

Trimble’s trust posture is enforced uniformly. Your data remains strictly yours—frontier labs cannot see or use your data to train their models.

See what you can build with Trimble Agent Studio

Models, knowledge, connectors, sub-agents, evaluations and analytics — together in one no-code workspace.

Deploy your agents

Put agents to work with Trimble Assist

One conversational interface across Trimble tools

Trimble Assist is Trimble's conversational app for working with agents across the portfolio — in the Assist web app and inside integrated Trimble products.

Agents you build in Agent Studio are available wherever Assist is integrated.
One interface and conversation history across SketchUp, Tekla, Connect, ProjectSight, Vista and more.
Rich, interactive conversation.  Much more than a wall of text.
Trimble Assist - Recommendations - Image
Enterprise compliance

Certifications and standards

Trimble's approach to managing AI risk is anchored on recognized frameworks, standards and regulations. The platform is certified to ISO 27001 and ISO 42001, and has passed its SOC 2 Type 1 audit, with the attestation expected in November 2026.

Badge with the text "ISO 27001 Certified" with cyan to magenta gradient branding.
Standard

ISO 27001

Information Security Management System (ISMS)

Badge with the text "ISO 42001 Certified" with cyan to magenta gradient branding.
Standard

ISO 42001

Artificial Intelligence Management System (AIMS)

Badge with the text "SOC 2 Type 1 Audit Passed" with cyan to magenta gradient branding.
Attestation

SOC 2

Systems and Organization Controls

Badge with the text "NIST AI RMF Framework" with gray branding.
Framework

NIST AI RMF

AI Risk Management Framework

Badge with the text "EU AI Act Regulation" with gray branding.
Regulation

EU AI Act

European Union regulation of AI systems

Trimble Agent Studio frequently asked questions

Trimble Agent Studio is a no-code AI agent builder in which Trimble, its partners and its customers can safely build, evaluate, deploy, use and monitor AI agents.

Expand All

Our approach is anchored by frameworks, standards and regulations set outside Trimble, including:

  • NIST AI RMF: AI Risk Management Framework

  • ISO 27001: Information Security Management System

  • SOC 2: Systems and Organization Controls

  • ISO 42001: Artificial Intelligence Management System

  • EU AI Act: European Union regulation of AI systems

Trimble has passed independent third-party audits for ISO 27001, ISO 42001, and SOC 2 Type 1. Official certificates and the SOC 2 attestation are expected in November 2026. External penetration tests run on a regular schedule.

The platform records every agent run in a standard format, so each one can be traced end to end. In Agent Studio, the Operate dashboards show usage, token consumption, errors, content filter violations, and user feedback.

The platform logs each run's inputs, reasoning steps, tool calls, and final output, so every action can be traced for forensic analysis and compliance checks.

No. The platform gives access to a curated set of enterprise-licensed models, served from Trimble's cloud environment. Neither the companies that build the models (such as OpenAI, Anthropic, or Google) nor the cloud providers that serve them may access, keep, or use customer data, including prompts and responses, for any purpose, including training their own models. Trimble enforces this contractually with every model and inference vendor.

Yes. Instead of uploading documents to a knowledge library, you can expose your own knowledge base or system as an MCP connector that you host yourself. The agent queries it at run time, and your data stays in your system.

Data is encrypted at rest with cloud-managed AES-256 by default, and every endpoint and API call requires TLS 1.2 or higher. Tenants are isolated logically, so data never crosses tenant boundaries.

Yes. Trimble supports compliance with the General Data Protection Regulation (GDPR) and signs a data processing addendum when a customer asks for one in writing. For personal data transferred from the European Economic Area (EEA), the United Kingdom, or Switzerland to other countries, Trimble relies on the EU Standard Contractual Clauses and other appropriate mechanisms. The Trimble Privacy Center has more information.

Agents have bounded capabilities and bounded resource use. The platform applies rate, token, and turn limits, which cap cost and protect the backend services from runaway loops and denial-of-service attacks. Agent creators can set their own usage limits on top.

Calls to MCP connectors go through the Tools Service gateway, which checks the caller's identity centrally, applies least privilege, and logs each call for audit. Built-in tools (such as knowledge search and web search) run inside the platform, and local tools run in the host application that embeds Assist, under that application's own controls.

Agent Studio has a built-in evaluations module. Agent creators are responsible for running evaluations and for deciding whether their agent is good enough for its users.