Infrastructure
Where does AI run?
Run a self-hosted AI platform in your own environment, so sensitive data never leaves your control.
Self-Hosted
Enterprise AI Workspace
Secure, Self-Hosted, Multi-Model and Governed
Your data. Your infrastructure. Complete control.
Self-Hosted AI
Your data. Your infrastructure. Complete control.
Multi-Model AI
One interface for every leading AI model.
AI Governance
Who can use which AI, on what data — with a record of everything.
Cost Intelligence
See where your AI spend goes — and cap it.
- Up to 50% lower AI costs (estimate, varies by usage)
- On-premise, private cloud, VPC or air-gapped deployment
- One interface for every leading AI model
The Enterprise AI Operating Framework
Four questions every enterprise AI strategy has to answer
Employees already use AI. Scattered tools, models and licences create AI sprawl and shadow AI, with no central AI governance, no audit trail and no control of AI spend.
Capability
Which AI models can people use?
Give every team a multi-LLM platform with one login, instead of a separate licence for each AI tool.
Multi-Model AI
Control
Who can do what?
Enforce role-based access control, SSO and AI guardrails, and keep an AI audit trail of every interaction.
AI Governance
Economics
What does it cost?
Set AI budget controls per user and per model, track AI usage analytics, and reduce AI costs by up to 50% (estimate).
Cost Intelligence
The Four Pillars
The four pillars of the NeutralModel enterprise AI workspace
Self-Hosted AI Platform
Your data. Your infrastructure. Complete control.
Run NeutralModel on-premise, in a private cloud, in your VPC or fully air-gapped — and nothing is sent to NeutralModel.
- On-premise AI, private cloud AI, VPC deployment and air-gapped AI
- AI data sovereignty: you choose where your data lives
- Bring your own keys (BYOK): provider keys stay in your environment
- Encryption in transit and at rest, with key rotation
Multi-Model AI
One interface for every leading AI model.
Teams use the right model for the right task with no vendor lock-in.
- Multi-LLM platform with one login and one workspace
- Admins choose which models each person can use, by type of work
- LLM fallback and failover keep work running, and context carries over
- New AI models are added without retooling
- Model routing handled by clear, auditable rules
AI Governance
An enterprise AI governance platform.
NeutralModel shows who can use which AI, on what data — and keeps a record of everything.
- Role-based access control and SSO, with access ending the moment someone is removed
- AI guardrails, data loss prevention (DLP) for generative AI and PII redaction
- AI data security: company keyword masking and hard-block policies for sensitive data
- Immutable audit logs and a full AI audit trail, with retention you set
- Shadow AI prevention: an approved workspace people prefer to unmanaged tools
- Audit trails that support AI compliance and risk reporting
Cost Intelligence
Track usage. Optimize spend. Maximize ROI.
AI cost management that shows where your AI spend goes and caps it before it runs away.
- AI usage analytics by user, team, project, model and time period
- AI budget controls per user and per model, with a low-cost model or a block when the limit is hit
- Usage-based AI pricing: no separate licence for each AI platform
- AI cost optimization: reduce AI costs by up to 50% (estimate) by matching the model to the task
