Foresight at the Speed of Change.

We run identical prompts across 5–10 specialized models (GPT, Claude, Gemini, Perplexity, and more), compare the 70–85% divergence, and surface consensus vs. weak signals to remove single-model bias.

Pipelines ingest databases, journals, and social feeds in 40+ languages with deduplication, vector search, GPT-5 web verification, and Perplexity-backed URL accuracy above 90%.

Researchers layer STEEP framing, scoring rubrics, and convergence analysis where stronger cross-model agreement highlights novel signals worth deeper exploration.

Traditional analysts augment the AI ensemble with expert interviews, literature reviews, and workshop documentation whenever bespoke depth is required.