Conversational AI that works in production, not just in demos
AgentOS brings together production-ready orchestration, verified knowledge retrieval, and enterprise-grade security to power accurate, reliable conversations at scale. Engineered for high volume engagement. Ready from day one.
Why brands choose Infobip’s conversational AI
From intent detection to verified knowledge retrieval, every component is built for production workloads where accuracy, cost control, and speed-to-market matter.
Route every conversation correctly
Automatically understand user intent and route conversations to the right outcome without extensive back and forth. Real-time intent classification directs customers to automated journeys, AI agents, or human support based on what they actually need.
Always provide accurate AI responses
Apply context, memory, and retrieval intelligence to every interaction so AI responds with relevant, documentation-grounded answers. Reduce human escalations by ensuring every response is backed by verified knowledge.
Build fast, launch sooner
Ready-made tools for chunking, retrieval, and workflow setup reduce production build time. Skip months of infrastructure work and go live with conversational AI solutions that are production-ready from day one.
Two teams.
One obsession.
Performance through innovation
A LEADER AGAIN
2025 Gartner®
Magic Quadrantâ„¢
for CPaaS
Positioned furthest for our Completeness of Vision!
AI tools ready for production
Our suite of composable, granular AI tools enable you to build conversational experiences that stay accurate, safe, and relevant at scale.
End-to-end conversational solutions
AgentOS goes beyond a conversational AI platform, combining AI infrastructure, orchestration, and data to power the entire customer journey.
*Interface shown is a simplified version for demonstration purposes.
Use cases across industries
Retail and eCommerce
Banking and finance
Healthcare
Travel & hospitality
FLEXIBLE BY DESIGN
No-code, low-code or pro-code
Build your way. Developers can write custom code for full control. Technical teams can configure and extend with integrations. Business users can build visually without code. All three deliver the same agent capabilities.
Built for developers
MCP integration: Standardized protocol for connecting agents to external systems and data
Pro-code: Build with Python on top of LangGraph and AutoGen. Multi-agent workflows, persistent memory, tool integrations. Fully managed auto-scaling Kubernetes infrastructure.
Complete API suite: REST APIs with OpenAPI spec, Postman collections, and interactive documentation.
Multiple SDKs: Python, Node.js, Java, PHP, and .NET with detailed documentation and code examples.
Webhook events: Real-time notifications for message delivery, user interactions, and system events. Build event-driven integrations.
Reach customers on every channel
Conversational AI that runs across 15+ channels, natively.
Messaging
SMS
RCS
In-App
MMS
Voice
Mobile App Messaging
Video
Live chat
Chat Apps
Viber
Telegram
LINE
Facebook Messenger
Zalo
Apple Messages for Business
KakaoTalk
Identity & Security
Number Verify
Number Intelligence
Authenticate
Fraud detection
Trusted by leading brands
Frequently asked questions
A conversational AI platform is a technology solution that enables businesses to build, deploy, and manage AI-powered conversations with customers across multiple channels. It combines natural language processing, machine learning, and integration capabilities to automate and enhance customer interactions at scale. Infobip’s platform adds composable AI tools for intent routing, knowledge retrieval, and enterprise-grade security.
Infobip’s LLM Library is model-agnostic, supporting a wide range of large language models including OpenAI GPT, Llama, Gemini, and more. You can deploy models in the cloud or on-premises, and choose the right model for each task without vendor lock-in.
The Knowledge Agent uses retrieval-augmented generation (RAG) to return precise, documentation-grounded answers. Agentic Chunker automates document preparation, boosting vector search recall from 70% to 95%. AI Insights provide visibility into knowledge base gaps, prompt effectiveness, and anomalies for continuous optimization.
Agentic Chunker is an automated document intelligence tool that prepares large volumes of documents for AI retrieval. It performs precise, non-destructive chunking that preserves original documents while dramatically improving search accuracy. When paired with the cross-encoder, it boosts retrieval recall from 70% to 95%.
AI Guardrails provide granular control over AI model behavior. You can define specific boundaries, filter harmful inputs and outputs, and enforce compliance policies. Every AI output is validated against your business rules before reaching customers, ensuring safe, accurate, and predictable responses.
Yes. The platform supports no-code, low-code, and pro-code approaches. Use the drag-and-drop builder for visual flow design, or go deeper with Python SDKs, RESTful APIs, and MCP integration for advanced multi-agent workflows.