Your organization.
In every dimension.
Connect operational data with the dynamics behind it. Our vision for Data Management: understand signals, anticipate change and give agents the right context.
Every five minutes. A fresh perspective.
Our next development step: AIOS gathers signals across the organization every five minutes. Sales, finance, people and projects are understood together. Data sources and permissions determine what becomes visible.
325,000 perspectives. One context.
We are planning an extensible catalog of 325,000 KPI definitions. Which metrics can be calculated in your organization depends on connected data. Your own models and metrics extend the catalog.
The dynamics behind the number.
Automatic forecasts for suitable KPI time series are intended to reveal change early. Seasonality, uncertainty and available history are part of the picture. A single value becomes a development you can understand.
Agents work with this knowledge.
Signals and forecasts are intended to give agents the trigger and context for their work. An agent investigates a deviation, connects it with operational objects and prepares next steps. Permissions and approvals remain part of the workflow.
Explore AIOS agentsWhat should happen next?
Forecasting learns temporal patterns and estimates what comes next. The difference between forecast and observation provides a signal. An expected range expresses uncertainty, especially with limited history or changing conditions.
What differs from the known pattern?
Reconstruction methods learn typical behavior and try to reproduce an observation from it. A large reconstruction error indicates an unfamiliar pattern. The error is a reason to investigate, not yet an explanation of its cause.
How familiar is this state?
Representation methods compress multiple signals into a shared state space. Similar situations lie close together. An unusual distance can reveal changes that remain hidden in any individual KPI.
Start with what you want to know.
An executive team needs a different view from a project team. Choose the objects, metrics and time ranges that answer your question. The dashboard concept makes any connected, authorized data source a possible perspective.
The right form for every question.
Time series show dynamics. Bars compare teams. Metrics summarize the current state. Tables preserve the details. Build your own overview from composable visualizations.
From the dashboard to the work itself.
Behind a number are customers, transactions, tasks or projects. Planned drill-down connects the overview with these objects. Shared filters help examine the same question from multiple perspectives.
A perspective your team can share.
Publish the overview for your team and connect it with an agent. Goals, signals and decisions stay together. The roadmap connects individual dashboards with AIOS’s existing sharing and object concepts.
Knowledge needs context.
Traceable provenance
Source, collection time and definition belong with the metric. Missing data and delayed updates must remain visible.
Deliberate permissions
Dashboards and their agents should only use data authorized for their purpose. HR data in particular needs clear purpose boundaries.
Reviewable forecasts
History, quality and uncertainty help put forecasts in perspective. New data and human feedback help refine models and thresholds.