01
Signal Collection
Plocamium continuously ingests from 99 curated RSS feeds and NewsAPI queries spanning four content lanes: Healthcare M&A, Industrials & Defense, GCC/LATAM Geopolitics, and Healthcare Marketing. Signals are polled every 15 minutes and streamed via Amazon Kinesis Data Firehose to S3, producing a compressed time-series archive of global market activity.
- Healthcare: 25+ specialized feeds covering M&A, policy, and clinical signals
- Industrials & Defense: 20+ feeds across manufacturing, aerospace, and defense procurement
- GCC/LATAM Geopolitics: 20+ regional feeds covering trade, energy, and sovereign activity
- Healthcare Marketing: 15+ feeds on regulated industry growth and digital health
- Cross-sector: NewsAPI real-time queries across 80,000+ global sources
02
Topic Discovery & Trend Acceleration
Twice daily (7 AM and 5 PM ET), the Trend Acceleration Engine scans the signal archive to identify topics with accelerating mention velocity. Acceleration is calculated as the ratio of 24-hour mentions to the 7-day daily average. Topics exceeding 5× acceleration with no existing coverage automatically trigger the content pipeline — ensuring the network captures emerging entities before they become consensus.
- Named entity extraction via regex on signal titles (capitalized multi-word phrases)
- Lane classification per topic (Healthcare, Industrials, GCC/LATAM)
- Coverage gap detection against published article corpus
- Auto-pilot: max 2 pipeline triggers per scan for high-acceleration uncovered topics
03
Entity Extraction
Every published article is processed through Amazon Comprehend Named Entity Recognition. Entities are extracted with a confidence threshold of >0.85 and classified as ORGANIZATION, PERSON, or LOCATION. Non-enrichable types (QUANTITY, DATE) are captured for metadata but excluded from the network graph.
- First 4,900 characters processed per article (Comprehend API limit)
- HTML stripped to plain text before analysis
- Entities deduplicated and upserted to DynamoDB with mention counts and article references
- Currently tracking 789+ entities across 17+ published articles
04
Entity Enrichment (BICS Classification)
Each entity is enriched via Amazon Bedrock (Claude Haiku) using the Bloomberg Industry Classification System (BICS) — a 4-level institutional taxonomy: Sector → Industry Group → Industry → Sub-Industry. Enrichment runs on two triggers: immediately on article publish (async, zero pipeline latency) and weekly batch re-enrichment with fresh signal context.
- BICS Level 1 (Sector): Health Care, Industrials, Financials, Technology, Energy, Materials, Communications, Consumer Discretionary, Utilities, Government
- BICS Level 2-4: Industry Group, Industry, Sub-Industry (e.g., Health Care → HC Equipment & Services → HC Facilities & Services → Hospitals)
- Deal context: acquirer, target, regulator, competitor, partner, investor, subsidiary
- Geography: headquarters city/country
- Market cap tier: mega-cap through private/government
- Relationships: up to 5 related entities with relationship type
- Re-enrichment: weekly with latest signal titles for temporal accuracy
05
Network Construction
The entity network is a co-occurrence graph: two entities are connected when they appear in ≥2 shared published articles. Edge weight reflects the number of shared articles. The graph is stored in Amazon Neptune (managed graph database) and queried daily to produce the visualization data.
- Vertices: enriched entity profiles (name, BICS classification, deal context, geography)
- Edges: co-occurrence relationships with article-count weights
- Degree centrality computed per node (connection count)
- New edge detection: daily diff against previous graph state
- DynamoDB fallback when Neptune is unavailable (co-occurrence computed from shared article lists)
06
Variance & Historical Analysis
Network state is archived daily as JSON snapshots in S3. This enables temporal analysis: which connections are strengthening, which are new, and which entities are gaining or losing centrality over time. The daily insight narrative explicitly highlights new edges and momentum shifts, providing investors with directional signal rather than static state.
- Daily graph.json snapshots archived to S3 for historical comparison
- New edge detection: set difference between today's and yesterday's edge sets
- Centrality drift: tracked via degree count changes across snapshots
- Entity staleness:
last_enriched timestamp ensures profiles stay current (<7 day TTL)
- Future: temporal edge decay weighting, rolling 30-day network animation
07
AI-Generated Daily Insight
Each morning at 8 AM ET, Amazon Bedrock (Claude Haiku) generates a 3-paragraph network intelligence briefing. The prompt is structured for institutional investors: which entities dominate, what cross-sector connections are emerging, and what's changing. Every sentence must answer “so what” — implications, not just descriptions.
- Input: top 10 entities by centrality, new edges in 24h, sector distribution
- Output: 3 paragraphs — dominance, cross-sector, momentum
- Tone: Bloomberg terminal style, no jargon
- Audience: institutional investors, PE professionals, corporate strategists
08
Visualization
The network is rendered as an interactive D3.js v7 force-directed graph with custom SVG rendering. Nodes are sized by mention volume (square root scale) and colored by BICS sector using jewel-tone radial gradients. The visualization is pre-rendered to static HTML + JSON on S3 and served via CloudFront for zero-latency page loads.
- Force simulation: forceLink (distance by weight), forceManyBody (charge), forceCollide (collision detection)
- Node styling: 3-stop radial gradients, sector-colored borders, feGaussianBlur glow on high-centrality
- Interactions: hover highlighting (connected nodes stay, others fade), drag, zoom/pan
- Sector filter pills: remove/add nodes from simulation dynamically
- Label pills: dark background behind text for readability on complex graphs
- Pre-rendered: zero compute at request time, 1-hour cache TTL
Technology Stack
Amazon Bedrock
Amazon Comprehend
Amazon Neptune
Amazon Kinesis Firehose
AWS Lambda
Amazon DynamoDB
Amazon S3
Amazon CloudFront
Amazon EventBridge
D3.js v7
BICS
Cloudflare Workers
Pipeline Flow
End-to-End Intelligence Pipeline
01
Signal
Ingestion
99 feeds
15 min
→
02
Topic
Discovery
Acceleration
scoring
→
03
Entity
Extraction
Comprehend
NER
→
04
BICS
Enrichment
Bedrock
Haiku
→
05
Network
Graph
Neptune
co-occurrence
→
06
Daily
Insight
AI narrative
8 AM ET
→
07
D3.js
Visualization
Interactive
network
Frequently Asked Questions
FAQ
What is the Plocamium Intelligence Network?
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An interactive visualization mapping entity relationships across healthcare, industrials, and geopolitics. It shows how companies, regulators, and decision-makers connect through shared news signals and published analysis.
How often is the network updated?
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The network visualization is re-rendered daily at 8 AM ET. Signal ingestion runs every 15 minutes via Kinesis Firehose. Entity enrichment occurs immediately on article publish and in a weekly batch re-enrichment cycle.
What is BICS and why is it used?
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BICS (Bloomberg Industry Classification System) is the institutional-grade taxonomy used by global asset managers for sector classification. It provides four levels of granularity: Sector → Industry Group → Industry → Sub-Industry. Using BICS ensures compatibility with how institutional investors already categorize companies.
How are entities connected in the graph?
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Two entities are connected when they co-occur in two or more published articles. Edge weight reflects the number of shared articles. This co-occurrence approach surfaces non-obvious relationships — entities appearing together in deal coverage, regulatory filings, and market signals before formal announcements.
What does the daily insight tell me?
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An AI-generated briefing written for institutional investors, highlighting three things: which entities and sectors currently dominate the network, any surprising cross-sector connections worth watching, and what relationships are strengthening or emerging. Every sentence answers “so what” — implications for capital allocation, not just descriptions.
Can I access detailed entity data?
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Detailed signal timelines, entity relationship graphs, BICS profiles, and coverage analysis are available to Plocamium clients and partners. Click any entity node on the network to request access, or
contact us directly.
How does variance analysis work?
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Network state is archived daily as JSON snapshots. New edges are detected by comparing today’s graph against yesterday’s. Centrality drift tracks which entities are gaining or losing connections over time. The daily insight narrative explicitly highlights these directional signals.
