16 Usage Contexts

Kedge AI engineered for dual deployment contexts consumer real-time interaction and enterprise decision automation sharing unified reasoning core with specialized optimizations.

Consumer profile: Mobile-first browser deployment, 12MB footprint, 38ms worst-case latency. Optimized for conversational interfaces, content generation, personal productivity across @kedge/@keela/@kite personalities.

Enterprise profile: Scalable cluster deployment supporting 1000+ concurrent decision streams. API-first integration with audit logging, compliance wrappers, and 99.97% SLA guarantees.

Unified model: Single parameter set serving both contexts through adaptive pipelines. Consumer mode prioritizes latency, enterprise mode emphasizes auditability and consistency.

Cross-context guarantees: Identical reasoning quality across deployment profiles. Safety protocols uniform preventing context-specific vulnerabilities.

Deployment continuum enables seamless scaling from individual user to enterprise consortium without model retraining or behavioral divergence.

Consumer Deployment

12MB footprint
38ms worst-case
Mobile browser native
Conversational focus

Enterprise Deployment

1000+ concurrent streams
99.97% SLA
API-first integration
Audit + compliance
Unified Reasoning Core
Single model, dual optimization. Identical quality across contexts.