Executive Summary

Investment, corporate risk and research teams currently lack fast, reliable, and actionable geopolitical and regulatory intelligence—many rely on fragmented feeds or manual analysis that arrives too late or with too much noise to inform trades and risk decisions. Roughly 40,000 potential buyer teams exist today, and they face the daily pain of noisy signals, unclear causal attribution, and jurisdictional regulatory complexity. You could build a real-time platform that ingests global unstructured sources (newswires, filings, social, signals) and applies AI/NLP to normalize events into low-latency signals with confidence and estimated causal impact on assets and sectors, delivered via API, alerts, and trading/risk integrations. Add features like per-event causal scoring, backtesting, watchlists, and audit trails so analysts can act, validate, and comply without rebuilding pipelines. The market is attractive now: a $6.0B TAM (40,000 teams × $150K ACV), rising alternative-data budgets, and increasing geopolitical and climate volatility are driving willingness to pay (Market Score 90/100; Revenue Potential 86/100). You can stand out by prioritizing event-to-asset causal accuracy, low false-positive rates, comprehensive regulatory coverage, and deep workflow integrations rather than just raw alerts; AI/NLP gains make this technically feasible and cheaper to build. Be realistic about the main challenges—data sourcing and labeling, model validation, latency guarantees, and legal/regulatory coverage—but if you solve those, the commercial upside is substantial.

Market Opportunity

Real-time geopolitical & regulatory intelligence for investment decisions targets a $6.0B = 40,000 investment, corporate risk, and research teams × $150K ACV total addressable market with medium saturation and a year-over-year growth rate of 12% CAGR (industry reports for alternative data and real-time intelligence market show ~10-15% growth driven by asset manager spend).

Key trends driving demand: Alternative data budgets are rising — asset managers allocate more to non-traditional data, creating willingness to pay for high-quality event signals.; AI/NLP improvements enable automated extraction and normalization of unstructured sources, making real-time signal products more accurate and cheaper to build.; Geopolitical and climate volatility is increasing market-moving events, which drives demand for low-latency alerts and causal impact scoring.; Regulatory changes and transparency (open lobbying databases, EDGAR APIs) make previously hard-to-get data more accessible for structured ingestion..

Key competitors include Bloomberg (Terminal & News), Dataminr, FiscalNote.

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Real-time geopolitical & regulatory intelligence for investment decisions

Executive Summary

Market Validation

Market Opportunity

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