Cloud contact center platform with native generative AI for customer interactions
Diabolocom operates a CCaaS platform with embedded generative AI (PyTorch, TensorFlow, LangChain, LangGraph) built on a polyglot backend (Java, Kotlin, Spring Boot, PostgreSQL, RabbitMQ, Kubernetes). The stack shape—heavy ML infrastructure alongside telecom services—reflects their positioning on AI-driven automation rather than vanilla call routing. Engineering hiring dominates (10 of 21 active roles) with senior-heavy seniority skew, while active projects around omnichannel routing, Salesforce integration, and interaction scoring signal a push toward smarter, more unified customer engagement. Infrastructure scaling appears acute (high-call-volume handling, routing complexity, traffic volume pain points).
Diabolocom develops a cloud contact center platform combining CCaaS infrastructure with proprietary generative AI for call transcription, satisfaction analysis, and real-time guidance. The product targets enterprise customer service and sales teams, with native integrations into Salesforce, Zendesk, and Oracle. Founded in 2005 and headquartered in Paris, the company operates across 60+ countries with a 51–200-person team. Current development focus spans omnichannel routing consolidation, Salesforce Voice integration, and scenario-based AI orchestration—indicating a shift toward unified channel handling and intelligent automation.
Backend: Java, Kotlin, Spring Boot, PostgreSQL, RabbitMQ, Redis, Go, FastAPI. ML/AI: PyTorch, TensorFlow, LangChain, LangGraph, LoRA, QLoRA, RLHF. Frontend: Angular. Orchestration: Docker, Kubernetes. Integrations: Salesforce, Zendesk.
Core projects: Salesforce Voice integration, omnichannel routing consolidation, AI-driven integration services, interaction scoring, and scenario service expansion. Infrastructure work includes extracting routing into microservices and improving platform stability under high call volumes.
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