Intelligence layer that maps enterprise workflows and automates manual handoffs
Complexio builds an Event Knowledge Graph to surface hidden tasks and dependencies buried across emails, chats, spreadsheets, and enterprise systems—then orchestrates automation on top. The tech stack (Python, spaCy, Transformers, Neo4j, Pinecone, Kubernetes) reveals a company optimizing for NLP-driven knowledge extraction and real-time graph queries. Hiring is sales-led (15 of 34 roles) with heavy senior/director concentration, indicating customer deployment and value-realization work are the bottleneck, not product.
Notable leadership hires: Client Director
Complexio is an enterprise AI operations platform that ingests structured and unstructured data to build a connected map of how organisations actually work—every task, interaction, and dependency. The product stacks an Event Knowledge Graph (data extraction layer), a Context Broker (real-time unification across systems), and an Orchestration engine that discovers and executes workflows autonomously, paired with Stevie, a conversational interface for querying operational intelligence. The company was born in maritime logistics and is now scaling across industries. Customers are large enterprises running existing AI platforms and data infrastructure but still executing manual workflows. Complexio is headquartered in London and actively hiring across Europe.
Python, JavaScript, PostgreSQL, Redis, Neo4j, spaCy, Transformers, Pinecone, Kubernetes, Docker, AWS, Azure, and GCP. The stack emphasizes NLP, graph databases, and distributed infrastructure.
Across Europe: Poland, United Kingdom, Netherlands, Belgium, Germany, Greece, Austria, and Portugal. Headquartered in London.
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Complexio's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.