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Start with the thing you are trying to establish. Evidence can be added when you already have material relevant to the question.
Reconstruction is an evidence-analysis system for questions where the answer is incomplete, disputed or scattered across sources. It helps separate what is supported from what is inferred, uncertain or still missing.
Start with the thing you are trying to establish. Evidence can be added when you already have material relevant to the question.
Reconstruction examines relevant sources, provenance, supporting and conflicting material, serious alternatives and evidential limits.
The result is bounded by what the evidence supports, with uncertainty and unresolved points shown rather than hidden behind a confident answer.
Search can retrieve information. Generative AI can explain and synthesise it. Reconstruction is built around the different problem of deciding what the available evidence is sufficient to support.
AI can assist where useful, but it is not the authority for whether a claim is established. Evidence, provenance, contradiction, uncertainty and validation remain part of the structured case.
Reconstruction tests the picture, sources what it can, tells you what the evidence justifies, and shows you what is still worth finding.
Reconstruction is an advanced prototype undergoing deployment, device and external qualification. Public-facing software is being separated from private evidential and routing authority.
Early access and startup enquiries will open as qualification progresses. No claim of production-proven reliability is made at this stage.