Spotfire® Quarterly Update - Q4 2026
Ask, Augment, Act on your Industrial Data with Spotfire AI
Welcome to the second Spotfire Quarterly Update What's New hub, a quarterly series that connects product innovation to the outcomes it enables. This quarter is all about Spotfire AI.
Generating analysis has never been easier, but trusting it is another matter. Industrial teams need AI-augmented answers they can check against their real data, built on methods they can reproduce, and governed by the processes their organization already runs. Spotfire AI brings AI-augmented investigation into the analysis itself, helping engineers, scientists, and operational teams go from fragmented information to defensible decisions.
Explore the innovations shaping this quarter's progress and the impact they can deliver.
Every industrial decision starts with a question.
Spotfire AI helps teams get from that question to a defensible decision, inside the analysis and under their governance.
Investigation rarely happens in a single step. It starts with a question, runs through dozens of small steps, and often depends on expertise that sits with one person. Spotfire AI works at each of those points.
Spotfire AI is the AI built into Spotfire itself. It works inside the analysis rather than beside it, so results stay visible, editable, and open to challenge, with domain expertise at the center of every decision. Organizations choose their AI models and decide which groups can use them, with usage logged and attributable.
1. Go from a question to a working analysis, right where you work
Ask: investigate complex industrial data in your own words
Every investigation begins with a question, yet turning it into a working analysis takes a chain of clicks, expressions, and data preparation steps. For many teams, the time between asking and seeing is where momentum is lost.
Now teams can move from a question to understanding faster, with results that stay visible, editable, and open to challenge. Arriving with Spotfire 15.1, Ask Spotfire, the natural language assistant in Spotfire AI, lets engineers and scientists describe what they need, from preparing data to building and refining visualizations with drill-down, right inside the analysis.
2. Spend less time on setup and more time on the answer itself
Augment: build and configure analyses faster, and trust them
Investigations are made of small steps: writing an expression, reshaping a table, choosing a statistical method that suits the shape of the data. Each step is small, and together they decide how quickly an answer arrives.
Now teams can build and configure analyses faster, with every step visible so results can be trusted and challenged. Spotfire AI augments the expert at each step, and industry-native Insight Agents, AI-augmented modules for tasks such as wafer data preparation, and Skills, reusable plain-language workflows, let experts capture a method once so anyone on the team can run it.
3. Insight is required, but what matters in the end is action
Act: close the loop from insight to action in your systems
An insight changes nothing until someone acts on it. Too often that step happens somewhere else, in an email, a manual request, or a queue.
Now experts can move from evidence to action without leaving the analysis. Arriving with Spotfire 15.1, MCP support, an open standard for linking AI to other systems, lets Spotfire AI connect to any system that exposes an MCP server, such as maintenance planning or ticketing, with the expert deciding what happens and domain expertise at the center of every decision.
Spotfire Quarterly Update
This quarter's innovations put AI to work inside the analysis, so teams can investigate faster and trust what they find.
Watch the Spotfire Quarterly Update on-demand webinar to see how Ask Spotfire, Insight Agents, and Skills help teams move from questions to defensible decisions.