Enterprise AI platform mapping operations into knowledge graphs
Complexio builds an enterprise AI layer that maps how organisations actually run, using a knowledge-graph core on Neo4j and vector search on Milvus with spaCy and Transformers for language processing. A multi-cloud footprint spanning Azure, AWS and GCP, plus Terraform and Pulumi, fits its on-premise deployment model. Current hiring is small and senior-only, focused on engineering and ops in Poland, around multi-cloud scaling and GPU-based AI workflows.
Complexio is a London-based, privately held software company with 51–200 employees. Its platform ingests structured and unstructured enterprise data into an event knowledge graph, then uses that context to discover and automate workflows, with a conversational assistant for querying the results. It sells to enterprises and deploys inside customer infrastructure, integrating with existing systems. The company originated as a maritime-industry joint venture and is expanding into other sectors.
Complexio's stack includes Python, Rust, Go, Java, PostgreSQL, Redis, Neo4j, Milvus, spaCy, Transformers, React, Kubernetes, Docker, Terraform, Pulumi and GitLab CI/CD across Azure, AWS and GCP.
Complexio is headquartered in London, England, and current hiring activity is concentrated in Poland.
Job posts point to a distributed systems deployment platform, AI workflow integration on GPUs, and AI-driven business process improvement.
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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.