AI workload orchestration platform for enterprise infrastructure
Open Innovation AI builds cluster management software for orchestrating AI workloads across heterogeneous hardware—Kubernetes, GPUs, multiple cloud providers (AWS, Azure, GCP), and on-premises data centers. The stack is infrastructure-heavy (Kubernetes, Docker, OpenShift, Terraform, Ansible) paired with MLOps tooling (PyTorch, MLOps platforms, RAG pipelines), reflecting a company focused on operational complexity: deployment automation, performance tuning across compute layers, and production ML integration. Recent hiring (5 engineering roles, mix of mid and senior) targets infrastructure and platform depth rather than breadth.
Notable leadership hires: Program Director
Open Innovation AI, founded in 2022 and headquartered in London, develops software for managing AI workloads at scale. The core product, Open Innovation Cluster Manager, abstracts hardware complexity by orchestrating AI tasks across diverse GPUs, accelerators, and cloud/on-premises infrastructure. The company works with enterprises and nation-scale organizations to reduce operational costs and time-to-market for AI deployments. Current project work spans infrastructure readiness, platform health monitoring, performance optimization across compute and storage, and integration of ML models into production systems.
Kubernetes, Python, AWS, Azure, GCP, Docker, OpenShift, Terraform, Ansible, PyTorch, FastAPI, Prometheus, Grafana, GitLab CI/CD, and Helm for infrastructure and MLOps.
London, United Kingdom. Founded in 2022, the company has 201–500 employees.
Open Innovation AI'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.