Automated Intelligence
Aggregation.
Multi-source collection and structuring of publicly available data into actionable intelligence profiles.
From Raw Data to Actionable Intelligence
Intelligence work has always been about connecting fragments. A property record here, a satellite image there, a regulatory filing somewhere else. The data exists — scattered across dozens of public sources, each with its own format, its own access method, its own update schedule. Analysts spend more time hunting for data than analyzing it.
Verdandi automates the collection layer. It pulls from public records databases, satellite imagery providers, government filings, and open-source datasets — then structures everything into normalized intelligence profiles that downstream systems can consume immediately. No manual data wrangling. No copy-paste from PDFs.
The system is engineered for portfolio scale. Hundreds of targets can be enriched simultaneously, with historical change detection that flags what shifted since the last collection cycle. When a zoning classification changes, a new permit is filed, or a structure appears in satellite imagery — Verdandi surfaces it before an analyst has to go looking.
Source to Intelligence in Four Stages
Every collection operation follows the same pipeline. Raw data enters, structured intelligence exits.
Technical Capabilities
Six subsystems operating in concert. Each is independently configurable and deployed across the full collection infrastructure.
Multi-Source Data Enrichment
Automated collection from public records, satellite imagery, and government databases. Each data source is normalized into a common schema, deduplicated, and tagged with provenance metadata so every data point traces back to its origin. No black-box aggregation — every enrichment is auditable.
Cross-Source Record Matching
Fragmented data sources reference the same entities differently — variant spellings, outdated addresses, partial identifiers. Verdandi matches records across sources using address normalization, name variant detection, and identifier cross-referencing to build consolidated profiles from scattered fragments.
Structured Output for System Integration
Intelligence profiles formatted for direct consumption by downstream systems — GIS platforms, case management tools, analytical dashboards. Standard export formats (JSON, CSV, GeoJSON) with configurable field mapping. No middleware translation layer required.
Portfolio-Scale Batch Processing
Single-target lookups are table stakes. Verdandi processes hundreds of targets in parallel — enriching entire portfolios, jurisdictions, or watchlists in minutes rather than weeks. Queue-based architecture with progress tracking, retry logic, and partial-result delivery for time-sensitive operations.
Historical Change Detection
Every collection cycle is diffed against the previous state. Verdandi maintains temporal snapshots and surfaces precisely what changed — new filings, ownership transfers, permit modifications, structural changes visible in imagery. Analysts see deltas, not static dumps. Configurable alert thresholds for material changes.
Satellite Imagery Integration
Geographic correlation between structured data and satellite imagery. Overlay property boundaries, infrastructure footprints, and change-detection heatmaps on high-resolution imagery. Multi-temporal comparison for environmental assessment and facility verification.
Five processing layers, each independently scalable. Data enters at the top, structured intelligence exits at the bottom.
External system connections via standard protocols. Each integration is independently configurable.
| Category | Technology |
|---|---|
| Database | PostgreSQL with Row-Level Security |
| Search | Vector embeddings + full-text indexing |
| API | RESTful + GraphQL endpoints |
| Encryption | AES-256-GCM at rest, TLS 1.3 in transit |
| Auth | RBAC with row-level enforcement |
| Processing | Queue-based batch with retry logic |
| Export | JSON, CSV, GeoJSON |
Security controls aligned to NIST 800-171 Rev. 2 families relevant to intelligence aggregation operations.
| Control Family | ID | Implementation | Status |
|---|---|---|---|
| Access Control | 3.1 |
Role-based access control with row-level database enforcement. Users see only data their role permits. | Aligned |
| Audit & Accountability | 3.3 |
Every query, access, and modification logged with immutable write-ahead. Full provenance chain on all data points. | Aligned |
| Media Protection | 3.8 |
AES-256-GCM encryption at rest for all stored intelligence data. Encrypted backups with key rotation. | Aligned |
| System & Comms Protection | 3.13 |
TLS 1.3 on all data in transit. Network segmentation between collection, processing, and delivery layers. | Aligned |
| Identification & Auth | 3.5 |
Multi-factor authentication on all operator accounts. Session management with configurable timeout policies. | Aligned |
Verdandi intelligence feeds directly into the broader Tereda Labs platform — AI-assisted analysis through IRONWRAITH, geospatial correlation via SPECULUM, threat detection with HELL HOUND. Field data flows in through SILTWIRE, communications are handled by TESSERA, and the entire infrastructure runs on FORGE architecture.
Pre-Acquisition Due Diligence at Scale
Federal agencies routinely assess properties, facilities, and infrastructure across entire jurisdictions — environmental reviews, base realignment studies, disaster recovery planning. Each assessment requires aggregating records from county assessors, state regulatory agencies, federal databases, and commercial satellite providers. Verdandi automates this collection layer, reducing weeks of analyst time to a single batch operation.
Output integrates directly with GIS platforms and case management systems already in use. No format conversion, no manual data entry, no copy-paste from PDF reports.
Applicable Domains
Verdandi adapts to any domain where publicly available data needs to be collected, structured, and analyzed at scale.
Discuss Intelligence Capabilities
Architecture review with the engineers who built it. No sales deck. No demo theater.