QWorker is the local AI engine designed and developed by q-analytics — a Danish data and AI consultancy that helps regulated organisations automate workflows without giving up control of their data.
q-analytics is an independent data and AI consultancy based in Denmark. We work with banks, insurers, public institutions and enterprises to design analytics, machine learning and AI systems that operate inside their existing infrastructure — never outside of it.
Our customers kept asking the same question: how do we get the productivity of modern AI without sending sensitive data to a public cloud? QWorker is our answer — a contextual AI engine that runs locally, integrates with internal systems and automates real work end-to-end.
q-analytics owns the product roadmap, engineering and security architecture behind QWorker. Every deployment is delivered together with the customer’s own IT and compliance teams, so the system fits the organisation rather than the other way around.
QWorker reads the active work context — the document, spreadsheet or CRM screen the user is on — so the user never has to write a long prompt to explain the task. They pick an action, QWorker handles the rest.
Inference, retrieval and orchestration all run inside your own environment. No prompts, documents or outputs are sent to a public cloud, a third-party API or an external model provider — there is no external endpoint to leak to.
QWorker is deployed inside your infrastructure — on-prem, private cloud or air-gapped — under your IT, security and compliance controls. Data residency, access logs, key management and model lifecycle stay entirely with your organisation, aligned with GDPR, NIS2 and sector regulation.
Talk to the team behind QWorker about your workflow, your data residency requirements and how a local AI rollout could look in your organisation.
