Sector Signals

How we work

Methodology

Sector Signals produces AI-generated research grounded in publicly available sources. Every report is labeled "AI Generated" and built on a structured pipeline that emphasizes traceability over volume.

1. Data collection

For each report theme, we identify 30 or so target companies and topic streams across the relevant geographies. Public sources include corporate IR pages, sustainability reports, regulator publications (EU Official Journal, FSA, SEBI, MoEFCC), industry press, and grounded web search through Google APIs.

2. Triage

Collected documents are scored for relevance and classified by signal type (regulation, new product, M&A, supply capacity, financial, etc.) using Gemini Flash-Lite. Documents below a relevance threshold are dropped.

3. Synthesis

Per-vendor summaries are produced with Gemini Pro using Google Grounding. Each synthesis captures a 1,500-character executive summary plus a key-events timeline that feeds the report's analytical sections.

4. Writing

Section drafts are produced with Claude Sonnet, working from the synthesized vendor profiles, theme-level context, and cited fact cards. The model is constrained to use only fact-card material for numeric claims.

5. Fact cards

Numeric claims and source citations are stored as structured "fact cards" with source URL, publisher, and published date. Public articles render selected fact cards inline; the full data layer is available with the report.

6. Delivery formats

Reports are delivered in three formats:

7. Limits and trust

We treat the reports as one input for decisions, not a complete substitute for primary due diligence. Sources are public, AI-generated, and labeled accordingly. Material claims are anchored to public references rather than proprietary interviews.