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:
- PDF — fixed layout for reading and internal distribution
- Markdown — editable text, designed for reuse with LLM workflows
- JSONL — fact records in line-delimited JSON, suitable for direct ingestion into RAG pipelines or analytical tools
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.