Evidence-linked disclosure intelligence

Find What Changed. Verify the Evidence. Decide What to Investigate.

Pure News Intelligence helps analysts compare corporate disclosures, trace every material change to its source, and turn selected findings into testable research questions.

  • Evidence-linked disclosure changes
  • Full prior-context review
  • Transparent research limitations
  • No automatic trade recommendations

The research journey

A negative result produced a more defensible workflow.

The project did not validate a new trading signal. It did reveal a practical need for evidence-linked review.

1

Attention is scarce

Institutional analysts receive more information than they can review and must reconstruct history manually.

2

The alpha thesis failed

Locked tests did not show incremental value from 10-Ks or enriched expected-language models.

3

Discovery sharpened the problem

Six interviews emphasized prioritization, trust, provenance, integration, and human judgment. These interviews informed the design; they did not validate adoption.

4

The project pivoted

The product and quantitative research were separated around a narrow SEC filing workflow.

5

The MVP works

It compares consecutive 10-Ks, checks earlier disclosures, and exposes exact supporting evidence.

6

The next test is a pilot

A controlled analyst workflow study should measure time, recall, trust, corrections, repeat use, and memory value.

Experimental capability

Turn a Verified Change into a Testable Research Question

For selected disclosures, the Experimental Research Idea Engine proposes economic mechanisms, analyst questions, affected entities, and falsifiable hypotheses. A skeptical-review stage searches for missing prior evidence and unsupported reasoning before anything is shown.

1

Grounded hypothesis

Attach atomic claims to full-prior evidence and require a falsifiable research question.

2

Skeptical challenge

Search for omitted context, incompatible quantities, and unsupported causal mechanisms.

3

Analyst decision

Accept, edit, reject, or escalate. The system never substitutes for analyst judgment.

8cases reviewed
2publishable hypotheses
6safe failures
0actionable trade views

This feature is experimental. It generates research hypotheses, not validated trading signals or investment recommendations.

Explore the Research Idea Engine

Frozen demonstration

The claim boundary is part of the product.

The interface preserves point-in-time evidence and keeps system interpretation, analyst judgment, and later outcomes visibly separate.

150companies and consecutive 10-K pairs
995evidence-backed disclosure changes
629high-confidence changes
1,990verified excerpt-offset checks

Final research classification: INSUFFICIENT_EVIDENCE. The product demonstration is operational; the risk analysis was inconclusive. No alpha, causal, trading, customer-adoption, or institutional-validation claim is supported.

Product focus

One user, one accountable decision.

Human judgment remains the final decision point.

Target user

Institutional research analyst

Needs to focus attention, compare history, verify evidence, and explain conclusions.

Buyer and gatekeeper

Head of Research + CTO

Need measurable workflow value, integration, security, governance, and auditability.

Value proposition

Read the right thing first

Understand what changed and preserve the supporting record without weakening analyst judgment.

Disciplined innovation

Evidence changed the project rather than being tuned away.

The research did not prove alpha, but it helped reveal a better innovation opportunity.

Original ideaPredict returns
Empirical testLock the comparison
Null resultReject the claim
Customer discoveryRefine the problem
Working productEvidence-linked review
Analyst pilotTest workflow value

Start with the evidence

Follow the recommended demo path.

Review ranked changes, inspect contrasting cases, then audit the research results and limitations.