Institutional-grade sentiment intelligence for decision-makers, delivered as a quantitative data pipeline of narrative signals from public discourse.
API-first. Quant-ready signals. Evidence you can audit.
Built for institutional research, risk, and strategy teams.
Quantify inflections in sentiment and attention before they become consensus.
Turn messy discourse into time-series you can model, monitor, and backtest.
Route high-signal moves to your team with clear thresholds and evidence.
Streaming ingestion and scoring events.
Select a topic to watch raw pipeline activity in real time.
Production pipeline + analysis surface area for quantitative narrative intelligence.
Batch ingest at 1,000 comments/cycle with observed embedding throughput of 7,629 vectors in ~5s. Dashboards refresh ~30 minutes.
Interrogate drivers behind regime shifts (“what changed?”) with linked evidence and source-level attribution.
Stress-test narrative outcomes and quantify potential impact over 7–14 days across sentiment and attention.
Surface emerging narratives and anomalous clusters from long-tail discourse before they break into consensus.
Trigger on sentiment inflections, volume acceleration, and early-warning risk thresholds—delivered in real time.
Track sentiment and attention as quantitative signals over time—with audit-ready context behind every move.
Choose the plan that fits your team. From starter to enterprise.