Join the waitlist and be among the first when Costvise launches.
Everything you need to know about Costvise, our launch phase, and technical approach.
Costvise is an AI-powered decision and steering platform that makes economic and operational connections transparent. It helps organizations in the health and social care sector make well-founded, data-driven, and compliant decisions.
We are building a market-ready MVP focused on workforce controlling as part of the aws First Incubator. The platform structures and visualizes actual data, identifies economic risks early, and complements them with data-driven scenario analyses. Our current focus is on integrating existing systems and validating with development partners in the health and social care sector.
Costvise starts in the health and social care sector because this is where economic responsibility, staff shortages, and regulatory requirements meet especially strongly. At the same time, many steering processes still rely on manual Excel workarounds and disconnected point solutions. The need for integrated, data-driven decision support is particularly high here, which makes the sector a strategic starting point.
In the long term, Costvise will become a scalable decision intelligence solution for complex organizations. What begins in health and social care will gradually extend to other workforce-intensive sectors, systematically establishing data-driven steering and making the economic impact of decisions transparent.
The launch is currently planned for Q2 2026. We inform everyone on our waitlist early about specific dates and next steps.
We are currently in the development phase. The waitlist allows us to engage interested organizations early and keep them transparently informed about progress and the planned launch.
People on the waitlist receive insights into our development progress, launch details, and updates on the next steps. Signing up is non-binding.
Data protection and data security are core principles of our development from day one. Specific technical implementations evolve step by step and follow current data protection standards.
We plan to connect existing systems via interfaces.
This way, existing data can be used without organizations needing to change their current processes.
Our AI helps make complex connections within data visible. It identifies patterns, trends, and anomalies, and helps put potential impact into context. The goal is not to replace decisions, but to make decision foundations clearer and more forward-looking.