This is infrastructure, not a dashboard.
Seleric runs five concentric layers: from raw market signals through a proprietary intelligence graph and six AI engines to a structured decision interface. Every output is designed to answer one question — what to do, when, and why.
The 5-layer architecture
Market Signal Universe
The outermost ring: every signal active in the commercial market. Products, competitors, campaigns, pricing, content, channels, reviews, social, search, demand. Seleric is designed to observe this entire universe simultaneously.
Data Acquisition
Signals flow inward as continuous data streams. Competitor scraping, ad library monitoring, product catalog ingestion, customer behavior data, search trends, campaign performance feeds, social listening. No manual trigger, no scheduled batch.
The Intelligence Graph
The proprietary core. Not a database — a living, relational structure that maps how market entities relate. Products, brands, categories, customer intents, campaigns, competitors. Relationship strengths shift as the market evolves.
AI Engine Layer
Six modular engines sit around the graph: Market Intelligence, Opportunity Detection, Campaign Outcome, Creative Fatigue, Pricing Strategy, Category Gap, Demand Forecast. Each draws from the graph and produces actionable intelligence.
Decision Interface
Where Seleric meets the user. Structured decision surface: Opportunity Radar, competitor movement alerts, campaign optimization, product launch intelligence, category gap detection, pricing strategy. Each output surfaces a single strategic implication.
The Intelligence Graph
Raw data ingestion is commoditisable. A structured relational model of a market — one that updates continuously and understands cross-entity relationships — is not. The graph is the defensible asset. Investors pause here.
Graph nodes
Products · Brands · Categories · Customer Intents · Campaigns · Competitors
Relationship edges
Product → Category · Brand → Competitor · Creative → Campaign · Price → Demand
The 6 AI engines
Category Gap / Demand Forecast
Underserved segments, demand curves 30/60/90 days
See in opportunity radar →Eight continuous signal streams
- Product Catalogs
- Competitor Sites
- Ad Campaigns
- Customer Reviews
- Pricing Data
- Search Demand
- Social Signals
- Marketplace Data
The feedback loop
Outcomes from business actions feed back into the Intelligence Graph — enriching node relationships, recalibrating engine weights, sharpening the next round of recommendations. Observe → Decide → Act → Learn. This compounding loop is the source of long-term advantage.