Core Purpose
Lubb provides a unified orchestration layer to deploy, manage, and scale AI agents across every channel. From LLM routing to voice delivery, it replaces fragmented tooling with one platform.

AI Orchestration Platform
Lubb is an enterprise-grade AI orchestration platform that unifies multi-provider LLM management, agent workflows, voice delivery, and knowledge retrieval into one production-ready solution.
Lubb provides a unified orchestration layer to deploy, manage, and scale AI agents across every channel. From LLM routing to voice delivery, it replaces fragmented tooling with one platform.
Enterprises juggle multiple AI providers, separate chat and voice tools, disconnected knowledge bases, and no unified analytics. Lubb eliminates this fragmentation with a single orchestration plane.
Built for enterprise AI teams, contact centers, SaaS platforms, and system integrators who need production-grade AI infrastructure with multi-tenancy, security, and regional language support.
A streamlined approach to delivering intelligent results
Set up your AI providers, knowledge bases, and channel integrations through the Lubb console. Add API keys for 10+ LLM providers, configure embedding and vector database connections, and define your agent personas with grounding rules.
Integrate Lubb with your existing business systems through the MCP Integration Hub. Connect databases, REST APIs, gRPC services, and SOAP endpoints. Set up tool governance with approval workflows and audit logging.
Design agent workflows in the visual Agent Studio. Create multi-agent pipelines with branching logic, knowledge grounding, and tool access. Test with golden datasets and iterate until quality targets are met.
Publish agents across all channels simultaneously. Monitor performance with real-time analytics, run A/B experiments, and scale automatically. Production-grade from day one with RBAC, audit trails, and vault integration.
Enterprise-grade capabilities designed for scale and performance
Route AI requests across 10+ providers through a single OpenAI-compatible API. Automatic failover, cost optimization, and usage analytics built in. Supported providers include OpenAI, Anthropic, Google Gemini, Mistral, Groq, and AWS Bedrock.
Ground agent responses with enterprise knowledge using 9 embedding providers and 5 vector databases. Full ingestion pipeline from documents to semantic retrieval: Document -> Embed -> Store -> Retrieve -> Ground.
Deploy voice AI agents with sub-1.2s latency. STT/TTS streaming, SIP telephony, WebRTC browser clients, and configurable voice activity detection (VAD), with <1.2s p95 speech-end to first audio response.
Deploy agents across WhatsApp, Telegram, Slack, Web Chat, Voice, and custom APIs from a single configuration with channel-specific routing and grounding.
Visually design agent workflows with DAG-based orchestration. Configure multi-agent execution, branching logic, and staged rollout with version control.
Vault integration, RBAC and multi-tenancy, analytics and evaluation, MCP Integration Hub, audit logging, and multi-language support for production-grade enterprise AI.
Real-world applications delivering measurable impact
Let's walk through your goals and map the right rollout plan.