Yesterday, Christina Linne (Head of Product Marketing) and Tim Haselaars (Product Manager) hosted a webinar introducing the TrendMiner Agent, our native in-application AI capability. If you missed it or want to revisit it, the recording is available below.
What's covered
The session walks through what the TrendMiner Agent is, how it's built, and what it looks like in practice:
- The foundation: how the agent combines an LLM of your choice, TrendMiner's analytics tools, and your historian data into a single, orchestrated experience native to the TrendMiner interface
- Agent skills vs. agent tools: why giving an AI access to your data isn't enough, and how process engineering expertise is encoded into the agent's reasoning
- Live demo: a combined cycle gas turbine use case, from a rising heat rate anomaly through root cause analysis to economic impact quantification
- Routines: the companion feature that turns a one-time agentic analysis into a repeatable, structured workflow
- How this differs from the TrendMiner MCP: and why working inside the familiar TrendMiner UI changes the experience
- Q&A: covering asset structure requirements, P&ID reading, knowledge base requirements, model choice, and more
Watch the recording
https://vimeo.com/1204789230/7aeacc0991?share=copy&fl=sv&fe=ci
Interested in early access?
If you'd like to learn more about our AI Early Access Program or explore what this could look like for your organization, reach out to your TrendMiner contact.