Geospatial intelligence infrastructure for event analysis

Knovolo Core Capabilities

Infrastructure for systematic event analysis. Sources monitored by administrative region, analyzed using H3 geospatial indexing, scored via Bayesian plausibility models.

Regional Monitoring

Continuous monitoring of news, social signals, and public data organized by administrative region. Systematic coverage as baseline — no selective attention.

Plausibility Scoring

Bayesian assessment combining geospatial priors, temporal context, multi-source evidence, and HMM state tracking. Transparent confidence metrics, not editorial judgment.

View Methodology

Entity Intelligence

Event-scoped entity extraction and relationship mapping. Track organizational involvement, official statements, and institutional responses. Accessible via Intelligence Terminal.

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Real-time event detection across 200+ sources
Real-time event detection across 200+ sources

Data Sources

Systematic monitoring across multiple source types. All data aggregated, geospatially indexed and scored for plausibility.

RSS/Atom Feeds

200+ news outlets via monitored standardized feeds. Real-time ingestion with source attribution and publication timestamps.

News Aggregation APIs

Comprehensive global coverage via news aggregation APIs (GDELT, NewsAPI). Deduplicated event clustering across sources.

Social Media Signals

Feed ingestions from popular social media feeds for real-time signal detection. Geographic clustering and temporal pattern analysis.

Methodology

We maintain transparency about our methodology without exposing operational details that could compromise data integrity. For insights into the baseline for our calculations head over to our Methodology section.

Geospatial Priors

H3-indexed data points act as a calculation baseline to provide insights into the historical 'could' of an event. Aggregated from hex-level to administrative regions.

Plausibility Scoring

Bayesian model combining geospatial priors, temporal context modifiers, weighted multi-source evidence, and HMM state transitions to ensure we combine causality, plausibility and realism.

Entity Extraction

Event-scoped entity identification and relationship mapping. Organizations, officials, and institutions linked to specific verified events.

Coverage Analysis

Systematic outlet monitoring showing which sources cover which events, narrative divergence, and under-reported developments.

Query Interface

Structured query language (DSL) for filtering events, entities, and relationships. Terminal-style interface with export capabilities.

Transparent Scoring

All confidence metrics show calculation basis: source counts, geographic clustering density, temporal patterns, HMM states.

Learn more about our Methodology

Frequently asked questions







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