Sendbird Tech Stack
AI-powered communication platform and enterprise AI concierge
Sendbird operates dual product lines: a communication API platform (chat, SMS, voice) and delight.ai, an enterprise AI agent for customer service. The tech stack reveals a company mid-pivot toward AI-native infrastructure—heavy adoption of LangChain, Llama 2, RAG, and n8n alongside core messaging (Node.js, Python, Django). Active hiring spans engineering, sales, and security at senior levels, with projects centered on voice AI integration, production-grade agent systems, and RAG pipelines. The pain-point cluster (low-latency voice, global scalability, production readiness, sales team scaling) maps directly to their stated shift from communication-API-first to AI-agent-first positioning.
Tech Stack 53 technologies
What Sendbird Is Building
◆Challenges
- Infrastructure commoditization
- Low-latency voice experience
- Friction in user experience
- Global scalability
- Production readiness
- Pivoting to ai-first customer experience
- Sales team scaling
- Enterprise buyers rethinking cx stack
- Reinventing conversation infrastructure
- Building scalable ai agent platform
▲Active Projects
- Delight.ai
- Ai agent for enterprise cx
- Core agent capabilities
- Ai automation project
- Ai agent for customer service platform
- Trustos-like governance and monitoring
- Voice ai integration
- Core agent platform
- Rag pipelines
- Production-grade systems
Hiring Activity
Department
Seniority
Notable leadership hires: Head of Product
