Last week, GoLLM was the featured company in a showcase of AI ventures at one of the weekly anchor events in Scotland's innovation calendar.
We showcased D.A.V.E. at From Research to Reality: The Future of AI in Scotland, hosted by Venture Café Edinburgh at the Edinburgh Futures Institute. The evening brought together researchers, innovators, and practitioners working at the point where AI moves beyond theory and into real-world application.
What we brought to the room
Survey and feedback data are only as useful as the insight you can draw from it. Too often, that insight gets buried in lengthy analysis processes, inconsistent reporting, or outputs that leave stakeholders with more questions than answers.
D.A.V.E. Changes that.
Our AI-powered platform turns raw survey and feedback data into clear, structured, actionable reporting in minutes. At the event, attendees saw first-hand how we are making that happen: from messy, multi-wave datasets to presentation-ready insight, faster than any traditional approach.
That includes qualitative analysis, sentiment, themes, cohort-level comparisons, multi-wave data, and practical recommendations. The aim is not simply to make analysis faster but to make it more usable, more transparent and easier to act on.
The conversation continues
If you missed us in Edinburgh, we would still love to show you what D.A.V.E. can do with your data.
The future of AI in Scotland will not be defined only by bigger models or flashier demos. It will be shaped by tools that solve real problems, fit into existing workflows, and help organisations make better decisions with confidence.
That is what D.A.V.E. is already helping organisations do: turning complex feedback data into clear, practical insight they can act on.
Why this event mattered
From Research to Reality was exactly the kind of space where GoLLM belongs: a conversation not just about what AI can do but about how it can be implemented responsibly and usefully.
Scotland’s public and private sectors are sitting on enormous volumes of feedback, consultation and engagement data. The question is no longer whether AI can help analyse it. The question is whether the right tools exist to do it accurately, responsibly and at scale.
The conversations we had in Edinburgh confirmed that the appetite is real not for AI in the abstract but for tools that make existing data more useful and more quickly, and with greater confidence.
A wider conversation about practical AI
The evening also showed the breadth of AI work emerging across Scotland’s research and startup ecosystem.
Sessions explored some of the practical barriers and opportunities shaping the next stage of AI adoption, from the compute gap facing Scottish AI startups to the role of deep learning and explainable AI in assessing climate intervention scenarios.
One especially resonant contribution came from Professor Eyad Elyan, whose message was simple but powerful: some of the most valuable AI opportunities are not generic or mass-market but specific, practical and grounded in distinctive data. There is significant value to be created when organisations identify a clear, sometimes niche problem and pair it with suitable, distinctive data for machine-learning model development.
His examples brought that point to life, from training systems to identify corrosion in pipes from video to analysing heart surgery footage in ways that could support clinical review. These are not abstract use cases. They show how specialised datasets, when matched with a well-defined problem, can become the foundation for highly valuable applied AI. More broadly, he also spoke to the importance of upskilling in fast-changing, AI-enabled workplaces and of embracing tools that act as multipliers for human capability and efficiency.
For GoLLM, that message strongly resonated. Many organisations already hold data with untapped value. The challenge is knowing how to structure it, analyse it, and turn it into better decisions.
The conversation continues
If you missed us in Edinburgh, we would still love to show you what D.A.V.E. can do with your data.
The future of AI in Scotland will not be defined only by bigger models or flashier demos. It will be shaped by tools that solve real problems, fit into existing workflows, and help organisations make better decisions with confidence.
That is what D.A.V.E. is already helping organisations do: turning complex feedback data into clear, practical insight they can act on.