Historical Data
Curated, queryable history — collected, cleaned and versioned so that models, simulations and agents all reason from the same dependable record rather than a snapshot someone exported last quarter.
Zapwiser builds data, AI and automation products — from historical data foundations and simulation through to agentic workflows and the applications that run them in production.
Every Zapwiser product starts from the same conviction: data is only worth collecting if something acts on it. We build the layers that get you from raw history to a system running on its own.
Curated, queryable history — collected, cleaned and versioned so that models, simulations and agents all reason from the same dependable record rather than a snapshot someone exported last quarter.
Workflows where AI agents actually execute — calling tools, checking constraints and pausing for human approval where it matters. This is the work that became QMerse.
Model the system before you commit to it. We build simulations that let teams test scenarios, stress assumptions and see the consequences of a decision while changing it is still cheap.
The interface that makes the rest usable — client-facing applications, dashboards and internal tools, built so the people who need the output never have to touch the pipeline underneath.
Our capabilities ship as products. QMerse is the first of them.
The Visual Canvas for Agentic AI and Automation
Connect data, AI agents, Python, APIs and interactive visualisations on a single canvas, then deploy the result as a scheduled automation, an agentic workflow or a client-facing application.
The same principles run through everything we ship, whether it is a data pipeline, a simulation or a product used by someone else's clients.
We start from the historical record — what actually happened, captured properly — rather than from a demo dataset that flatters the model.
Systems that make decisions have to show their work. Every step is inspectable, so the people accountable for the output can audit how it was reached.
What we build, you keep. Pipelines export to Python you can run without us, on your own infrastructure, for as long as you need them.
Working software beats a roadmap. We get something real in front of users early and let what they do with it drive the next decision.
Whether you are looking at an automation problem, a simulation, or an application that needs building, we would like to hear about it.