What is likely to happen?
The Insight Engine begins with historical measurements and context. It produces estimates, communicates uncertainty and evaluates outcomes.
Cyrus Forge Systems · Tools and demonstrations
Explore two different workflows: use historical data to estimate outcomes, or bring independent sources together for a traceable comparison. Start with how each engine works, then follow its detailed example.
From data to decisions
Collect: Bring relevant inputs into a consistent view.
Forecast: Estimate outcomes and communicate uncertainty.
Evaluate: Compare projections with observed results.
The Insight Engine begins with historical measurements and context. It produces estimates, communicates uncertainty and evaluates outcomes.
The Consolidation Analyzer begins with separate records. It checks completeness and consistency, then displays agreement, differences and exceptions.
The methods behind these engines can be adapted to help organizations evaluate options, forecast outcomes, consolidate information, and automate recurring analysis.
Streamline reporting, routing, and routine reviews.
Anticipate demand, staffing needs, and workloads.
Compare options using consistent criteria.
Bring multiple sources into one clear view.
Summarize findings and flag exceptions for human review.
Each application requires relevant data, configuration, and validation for its intended use. Discuss your workflow with us.
Each engine page explains its inputs, processing, validation, outputs and limitations. A worked example follows the explanation.
Estimate outcomes from historical data, explain the contributing factors and measure results against a timestamped forecast.
How Insight Engine works →Collect and standardize records from independent sources, validate their consistency, and present agreement and exceptions with supporting evidence.
How Consolidation Analyzer works →These projects are documented separately from the two engines above and are not available as finished tools.
Spread and total projections were excluded from the first player-model release so its existing outputs could be published and evaluated first. The model remains planned work.
View the roadmap →A separate research project exploring controlled collaboration between multiple AI models. Its public repository is a design record and retrospective, not a runnable application. No restart date has been announced.
Read the project status →