Electoral and political intelligence

Summary

AI-augmented electoral intelligence platform with constituency-level agent design, geospatial diagnostics, and field intelligence integration. Originally built for the Bangladesh 2026 election context (Strategos), generalizable to any constituency-based electoral system.

What we do

Electoral and political intelligence is the most data-rich and time-pressured form of applied analytics: dozens of constituencies move on different signals with different latencies, and decisions about resource allocation, messaging, and candidate strategy must be made on incomplete information at high cadence.

The Strategos platform demonstrates the architecture: 300 AI-powered constituency agents, multi-agent analysis, divisional dashboards, historical election data integration (1991, 1996, 2001, 2008 in the original Bangladesh context), real-time field intelligence, four-times-daily external intel updates, and a one-time-daily synthesis. Engagements adapt this for other constituency-based contexts: US House and Senate races, UK parliamentary contests, Indian Lok Sabha state, and similar.

Methods

• Constituency-level agent design and orchestration
• Multi-agent synthesis and conflict resolution
• Historical election panel construction
• Geospatial divisional analysis
• Field intelligence integration (HUMINT plus public-source)
• Photocard and rapid-content generation
• Scenario simulation across resource allocation
• Polling integration and weighting

Public data partners

• Election commission historical results
• Census and voter roll data (where public)
• Polling aggregators (publicly disclosed)
• Geospatial division boundaries (national surveys)
• Field reporter networks (engagement-specific)
• External intel sources (curated by engagement scope)

Deliverables

• Constituency-level intelligence dashboard
• Resource allocation scenario simulation
• Daily synthesis brief during campaign window
• Photocard and rapid-content production pipeline
• Historical baseline panel and divisional cross-reference

Sample engagements

• Constituency-level intelligence platform for a national parliamentary campaign.
• Off-cycle research panel for a political research institution.
• Resource allocation simulation for a state-level race.
• Historical electoral panel construction for an academic project.
• Geospatial divisional dashboard for a media organization.