The first phase of the Envisioning Foresight Model is Signal Scanning: the disciplined, high-volume identification of early indicators of change. Signals can be technological developments, regulatory shifts, emerging behaviours, scientific breakthroughs, or new patterns in culture and markets.
Our goal at this stage is to construct a broad, unbiased surface area of weak signals that can later be organised, analysed, and transformed into strategic insight.
We combine automated intelligence with human curation to produce a resilient scan:
Signals originate from a wide field, including:
This ensures we detect phenomena before they enter mainstream trend reports.
Our internal Signal Generator system uses a chain of language models—each with different capabilities—to:
Expert oversight ensures relevance, quality, and credibility:
For every technological signal, we evaluate Technology Readiness Level (TRL) to understand:
Each signal is enriched with consistent metadata fields (technology, domain, region, readiness, drivers, enablers, risks, opportunities).
This enables:
Signals become data, not just notes.
The outcome of the scanning phase is a living database of validated signals, continuously updated and ready for deeper analysis.
This dataset becomes the raw material for the next phase of the Envisioning Foresight Model: Pattern Recognition and Analysis.