Features
xLLM proprietary model with 96% next-token accuracy
Smart crawling for enterprise data ingestion
Knowledge graph discovery from documents
Deterministic AI outputs with traceable reasoning
Explainable AI with source-level transparency
Agentic rules for automated business actions
Data analytics integration for real-time analysis
Information query across knowledge bases
Private on-premise or multi-cloud deployment
Human-in-the-loop governance workflows
Auto-distillation without model training
Cost-effective next token prediction
Capacity-based pricing model
Built-in compliance for regulated industries
Domain-specific model adaptation
Unified API for 400+ models across 70+ providers
Automatic failover routing when a provider goes down
Model Fusion: combine budget models to rival frontier performance
Subagent delegation: frontier models hand off tasks to cheaper workers
Speech/transcription APIs (May 2026)
Unified Image API with capability discovery across 30+ models (June 2026)
OpenAI SDK compatible out of the box
Server-side presets to survive model deprecation
Edge-deployed for minimal latency
Budget controls and spend limits
Credit-based pricing with no subscriptions
Model routing visualization for latency and cost
Private model support for enterprise deployments
Data policy-based routing and enforcement
MCP server for coding agents (June 2026)
