Frequently Asked Questions
Explore answers to common questions about pricing, deployment, sovereignty, security, and enterprise support across Open Innovation AI solutions.
Deployment & Sovereignty
Can Open Innovation AI platforms run fully air-gapped with no external connectivity?
Yes. Open Innovation AI platforms are designed to operate in fully air-gapped environments with no external connectivity required. All components can be deployed, managed, and operated entirely within your infrastructure.
Does Open Innovation AI require any outbound connection or remote access after deployment?
No. We do not require outbound connections or remote access once deployed. All operations, updates, and management can be handled internally by your team or through controlled, customer-approved processes.
Who has access to our data, models, and infrastructure?
You retain full control. Open Innovation AI does not access or store your data, models, or workloads. All assets remain within your environment and under your governance policies.
How does Open Innovation AI ensure data, model, and operational sovereignty?
Sovereignty is enforced through full control over deployment location, infrastructure, access policies, and lifecycle management. The platform enables organizations to define and enforce policies across data, models, and operations without external dependencies.
Does Open Innovation AI lock us into specific vendors or technologies?
No. Open Innovation AI is hardware-agnostic and built on open standards. Through OICM, organizations can use different GPU vendors, models, and tools without being locked into a single provider, ensuring long-term flexibility.
Pricing & Commercial
How is Open Innovation AI priced?
Pricing is tailored based on deployment model, scale, and specific requirements. Open Innovation AI supports flexible commercial models aligned with enterprise and government needs.
How quickly can organizations see value after deployment?
Open Innovation AI is designed to deliver rapid time to value. Organizations can move from deployment to running AI workloads in days, enabling faster experimentation, development, and production rollout.
Operations & Scalability
How are AI models, applications, and agents secured?
Open Innovation AI secures AI systems through OI AI Security, which integrates with OICM to test, validate, and enforce policies across models, applications, and agents. This includes pre-deployment validation such as model scanning and adversarial testing, as well as runtime guardrails to ensure systems behave within defined policies in production.
How does Open Innovation AI support the full AI lifecycle?
Open Innovation AI supports the full AI lifecycle through OICM, enabling teams to manage training, fine-tuning, inference, and model operations within a single platform. This ensures consistency, control, and scalability across all AI workloads.
How does Open Innovation AI optimize GPU utilization and infrastructure efficiency?
Open Innovation AI maximizes infrastructure efficiency through OICM by enabling intelligent resource allocation, real-time workload distribution, and dynamic sharing of GPU capacity across teams. This ensures near-zero idle compute and maximizes the value of existing infrastructure.
Can multiple teams share the same AI infrastructure securely?
Yes. Through OICM, multiple teams can share the same infrastructure with strict isolation, access control, and governance policies. This allows organizations to scale AI usage across departments without duplicating resources.
How does Open Innovation AI ensure governance and traceability of AI systems?
Open Innovation AI ensures governance through OICM by providing model tracking, version control, and full lineage across the AI lifecycle. This allows organizations to meet compliance requirements and maintain full visibility over their AI systems.