Open Innovation AI provides a GPU‑agnostic orchestration platform that unifies cloud, on‑premise, and multi‑vendor GPU resources into a single, secure cluster. The solution includes AI‑Ops tools, multi‑tenant isolation, and built‑in governance to enable compliant, sovereign deployment and management of LLM workloads at enterprise scale.
Funding
Funding not disclosed
Founders
Product
Problem
Enterprises and governments face increasing complexity in deploying AI workloads at scale, needing to manage heterogeneous GPU hardware across multiple clouds and on‑premise sites while maintaining strict data sovereignty, security, and compliance.
Solution
Open Innovation AI offers a GPU‑agnostic orchestration platform that abstracts any GPU, cloud, or on‑premise environment into a unified, scalable cluster. The platform provides built‑in RBAC, end‑to‑end encryption, and multi‑cluster hybrid‑multi‑cloud management to enforce data and model sovereignty. Integrated AI‑Ops tools and agentic workflow capabilities enable rapid deployment, fine‑tuning, and inference of LLM‑based solutions across the entire AI lifecycle. Governance features such as model tracking, version control, and policy enforcement ensure compliance and traceability. The solution supports isolated multi‑tenant usage, allowing multiple teams to share infrastructure securely while optimizing GPU utilization through dynamic workload distribution.
Target Audience
Primary customers are large enterprises, government agencies, and critical infrastructure operators that require secure, sovereign AI infrastructure and scalable LLM deployment capabilities.
Features
- GPU‑agnostic infrastructure that runs workloads on any vendor’s GPUs, public clouds, or on‑premise hardware
- Multi‑cluster hybrid‑multi‑cloud orchestration with unified observability and control plane
- Sovereign deployment options, including fully air‑gapped installations with no outbound connectivity
- Enterprise‑grade security: RBAC, encryption at rest and in transit, and policy‑driven model validation
- AI‑Ops suite with agentic workflows for training, fine‑tuning, inference, and model lifecycle management
- Built‑in governance: model lineage, versioning, compliance reporting, and runtime guardrails
- Multi‑tenant isolation enabling secure sharing of GPU resources across teams
- Intelligent resource allocation and real‑time GPU utilization optimization to minimize idle compute