Cenna is a stealth-stage AI automation startup built on a modern AI ops stack: LangChain, LangGraph, CrewAI, and AutoGen for agentic orchestration, backed by OpenAI and Anthropic models, plus FastAPI, PostgreSQL, and Kubernetes for backend infrastructure. The founding team is exclusively senior engineers, all hired within the last 30 days and concentrated in India—a signal of rapid execution toward a multi-agent business process automation platform designed to handle enterprise-scale workloads (hundreds to millions of requests).
Cenna builds a multi-agent automation platform targeting legacy business processes. The company was founded in 2025 and operates in stealth mode. The tech stack reveals a focus on agentic AI systems (LangChain, LangGraph, CrewAI, AutoGen) integrated with production infrastructure (FastAPI, PostgreSQL, Kubernetes, monitoring via Prometheus and Grafana). Active projects center on workflow orchestration, RAG pipelines, and caching strategy. The team is scaling toward enterprise-grade reliability and throughput, with immediate hiring focused on senior engineering talent.
Cenna uses Python, FastAPI, PostgreSQL, Redis, Kubernetes, and Docker for backend infrastructure. On the AI side: LangChain, LangGraph, CrewAI, AutoGen, Haystack, and models from OpenAI, Anthropic, and Azure OpenAI. Monitoring via Prometheus and Grafana; deployment on AWS, GCP, and Azure.
Cenna is building a multi-agent business process automation platform, focused on workflow orchestration, RAG pipelines, monitoring systems, and scaling backend architecture to handle enterprise-scale request volumes.
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