Distributed Layer Design
Static assets, client-side rendering, and edge-processed requests routed to nearest PoP. Sub-50ms global response times.
Unified entry point handling authentication, request routing, throttling, and protocol translation between clients and services.
Core intelligence layer. Processes queries, resolves entity relationships, validates claims against primary sources, and generates enriched responses.
Multi-model storage architecture. Structured metadata, high-dimensional embeddings, relational article data, and real-time caching layers.
Query to Knowledge
Ingest & Parse
Client request hits edge node. Natural language is tokenized, entities extracted, and intent classified via lightweight transformer.
Graph Resolution
Knowledge graph traverses related concepts. Cross-references are mapped across disciplines, languages, and historical contexts.
Verification
Claims are cross-checked against primary sources, peer-reviewed datasets, and editorial consensus layers before scoring.
Delivery
Structured response is assembled, cached at edge, and delivered with citation metadata, interactive graphs, and multilingual fallbacks.
Technology Stack
Frontend & Edge
Backend & Services
AI & ML
Infrastructure
Security Architecture
Zero-Trust Network
Service-to-service mTLS, short-lived JWTs, and strict RBAC policies across all microservices and data planes.
End-to-End Encryption
AES-256 at rest, TLS 1.3 in transit, and client-side encryption for sensitive contributor submissions.
Compliance Ready
SOC 2 Type II, GDPR, CCPA, and WCAG 2.1 AA compliant. Automated audit logging and data retention policies.
Adversarial Testing
Continuous red-teaming, prompt injection guards, and ML model evaluation pipelines to prevent hallucination or bias drift.