
A Mooseify product
MinaAvtal
Controlled beta · Sweden
Understand what your agreements cost, when they renew, where information is missing and what needs to happen next.
Independent Swedish product company
Mooseify turns scattered information, unclear ownership and unfamiliar technology into focused software and learning products that help people understand what matters, act with confidence and improve the result.
Built in Sweden, around operational work that is important, recurring or hard to understand.
Before the work is structured
Structured for action
Products
MinaAvtal and Aura both start with recurring work that is held together by documents, inboxes and individual memory, and end with a clearer owner, a visible deadline and a next action.

A Mooseify product
Controlled beta · Sweden
Understand what your agreements cost, when they renew, where information is missing and what needs to happen next.

A Mooseify product
Early access · Europe
Organise processing activities, vendors, policies, incidents, evidence and AI-governance work around clear priorities and documented progress.
We continue to explore recurring operational and learning problems that are still managed through spreadsheets, inboxes and individual memory. New products appear here only when the problem, the audience and a working product are clear.
The shared pattern
Contracts, compliance, vendors and AI use tend to fail in one recurring way: information is scattered, ownership is unclear and the decision arrives late.
Before it is structured
Structured for action
This is the problem pattern behind MinaAvtal.
How we build
Useful software starts with work people already struggle with. We identify the friction, structure the information and build the shortest credible path to a better decision.
We design around how work actually moves between people, documents and decisions — not how the process looks in a presentation.
A view is useful only when it helps someone see what matters, understand why and decide what to do next.
Better software should produce observable control: lower risk, saved time, clearer ownership or measurable financial value.
We use AI where it improves understanding or decision quality. Important information stays reviewable and verifiable by people.
Read how we buildA problem worth structuring?
We are interested in recurring operational work that is still held together by documents, spreadsheets, inboxes and individual memory — and that deserves a clearer system.
Tell us about the problem