VERIFIABLE INTELLIGENCE INFRASTRUCTURE

Every claim, down to the source.

Hadalith is building Trace for intelligence and due-diligence teams that need to check completed report claims against supplied evidence. A focused pilot can explore how a human-reviewed workflow links each material claim to exact passages in a version-pinned PDF source set.

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THE HADALITH THESIS

Preserve what the web forgets.

Pages change. Sources disappear. Datasets are revised. Hadalith is building the provenance layer that keeps retained source material, versions and recorded analytical steps inspectable after the moment of collection.

FIRST PRODUCT / HADALITH TRACE

Report and claim provenance for high-stakes analysis.

Hadalith Trace is being built as a human-reviewed, closed-corpus evidence-audit workflow for completed intelligence and due-diligence reports. Each review is scoped to a user-supplied, version-pinned PDF corpus.

Assessments describe what the supplied sources support. They do not determine objective truth or source credibility.

Atomic Claim Decomposition

Break completed reports into reviewable atomic claims while preserving original wording, material qualifiers and report context.

Version-Pinned Retrieval

Search only the user-supplied PDF corpus accepted for the review, with every source tied to a fixed version.

Exact Evidence Anchors

Connect each assessment to the precise source version, page, quote, text span and visual region a reviewer can reopen.

Human Review

Let reviewers approve, revise or reject draft assessments and recover evidence the retrieval step may have missed.

Provenance by Design

Record source versions, claim transformations, retrieval settings, model inputs, reviewer decisions and exports.

INSIGHTS

Ideas from
the deep.

Field notes on evidence integrity, closed-corpus analysis and human-reviewed intelligence systems.

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