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Vector

Strategic Intelligence Fusion Platform by Lattice

Vector is a geopolitical and strategic intelligence platform that fuses open-source signals into structured, analyst-ready intelligence. It connects raw OSINT collection to scenario-grade analytical output — entity resolution, event correlation, claim verification, cascade modeling, and collaborative analyst workflows — inside a single operational surface.

Vector is not a dashboard. It is a fusion engine with a cockpit.


What Vector Does

Ingest — Continuous collection from structured and unstructured OSINT feeds: news wires, social media, government publications, satellite imagery metadata, shipping/AIS data, financial filings, sanctions lists, and analyst-submitted raw intelligence.

Fuse — Entity resolution across sources. Event deduplication and correlation. Claim extraction with provenance tagging. Temporal alignment of signals across geographic and thematic domains.

Analyze — Cascade modeling: structured scenario trees that propagate probability through dependency chains. Entity-relationship graphs with typed edges. Bayesian confidence updates as new signals arrive. Analyst annotations with audit trails.

Collaborate — Multi-analyst workspaces with role-based access. Hypothesis boards. Dissent tracking. Structured analytic techniques (SATs) embedded in workflows. Review and approval chains for finished intelligence products.

Govern — Full provenance chain from raw source to finished assessment. Classification and handling markings. Access tiers (free/premium/enterprise). Audit logging. Source protection.


Architecture Summary

Vector follows a collect → normalize → fuse → analyze → disseminate pipeline:

Sources → Collectors → Normalization Layer → Fusion Engine → Analyst Workbench → Products
                                                  ↑
                                          Knowledge Graph
                                       (Entities, Events, Claims)

The platform is built as a modular monolith with clear domain boundaries, designed for eventual service extraction. The primary interface is a map-first operational cockpit with drill-down into entity, event, and scenario detail.

See docs/platform-architecture.md for full technical architecture.


Documentation

Document Purpose
Product Mission Why Vector exists, who it serves, what it replaces
Platform Architecture System design, data flow, deployment model
Core Ontology Entity, Event, Claim, Source, Assessment — the data model
Analyst Workflows How analysts use Vector day-to-day
Scenario Engine Cascade trees, probability propagation, what-if modeling
Access & Governance Tiers, roles, classification, audit
V1 Build Plan What ships first, in what order, with what constraints

Relationship to BEACONSignal

BEACONSignal is a separate prototype that explored cascade visualization and signal display in a static demo context. Vector is a ground-up platform specification that draws on lessons learned from BEACONSignal but shares no codebase, no deployment, and no repository. They are independent projects under Lattice.


Status

Phase: Specification

This repository currently contains product specification and architecture documents. Implementation begins after specification review is complete.


Lattice — Intelligence infrastructure for consequential decisions.

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