We were at World Summit AI in Amsterdam on 7 and 8 October, as an Accelerator Partner at the tenth edition. We were on stand S17 in The Accelerator, at Taets Art & Event Park. That link opens the venue floor plan with our stand marked. The stand was listed under the SOSX name rather than Digital Tactics. We were not speaking this year, so we had both days free to talk properly.
Here is what we took, and what we went looking for.
SOSX
SOSX®: System-of-Systems for X is our platform for AI-enabled systems thinking. It is built for the kind of question that does not fit on a whiteboard: whole ecosystems of interacting systems, their feedback loops, and the behaviour that emerges when you put them together.
It works as a five-phase pipeline (Scope, Research, Parameterise, Analyse, Report) run by thirteen specialised AI agents. You give it a broad question, it breaks that into component questions, sends an agentic research team at the academic and grey literature, maps the reinforcing and balancing flows it finds, then parameterises the model and optimises against it. Results export into nine MBSE tools and formats. It is in live trials with a large global aerospace manufacturer.
It supports the decision. The human stays in the chair.
That last point matters more than any feature. SOSX is not there to make the call. It is there so that the person making the call has done the reading, can see the loops, and knows which assumptions the answer rests on.
Customer Compass
Customer Compass is our AI decision agent for Xero, live in the UK since July 2026 at customercompass.ai. It reads what is happening in a small business's accounts and turns it into decisions the owner can act on, rather than another dashboard to interpret. If you run a small business, or you build for people who do, this is the one to ask us about.
The research we lead
Alongside the products, we lead GreenCode, an ITEA programme on making software energy use a first-class quality metric rather than an afterthought discovered in production. It is building a closed-loop, AI-automated pipeline for optimising the software organisations already run.
What we went looking for
We went to listen more than to pitch. Specifically we wanted to find:
- Organisations with a systems problem too tangled to model by hand
- People working on the energy cost of AI inference, from either end
- Potential partners for European research consortia
- First-hand accounts of what AI has and has not done for your organisation
If any of that is you, we are still glad to talk. We are happy to say where AI would help, and equally happy to say where it would not. Our events page lists where we are next, and you can get in touch at any time.
