Securely access, govern and optimize multiple AI models from one centralized platform.
Give your teams the freedom to use the best AI models for their work while maintaining security, control, visibility, and policy enforcement.
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One Gateway. Multiple Models. Total Control.
An enterprise AI gateway gives your organization secure access to multiple large language models through one centralized platform.
Instead of managing separate subscriptions, interfaces, APIs, and policies, IT teams can control how users access AI, which models they can use, how company data is handled, and how AI spending is tracked.
Key Benefits of an Enterprise AI Gateway
Secure by Design
Protect sensitive data with centralized identity, policy, and data protection controls.
Access Multiple LLMs
Give approved users access to different AI models through one secure interface.
Optimize AI Costs
Track usage, manage spending, and optimize model selection.
Connect Business Data
Connect AI to approved company data for more relevant responses.
Gain Full Visibility
Monitor AI usage, costs, policy events, and adoption trends.
Enterprise AI With Guardrails You Can Trust
Apply centralized security and governance policies to AI activity across your organization.
IT and security teams can control model access, protect sensitive data, review usage, and reduce Shadow AI.
Supported Capabilities:
- Single sign-on and identity integration
- Role-based access control
- Approved model access
- Prompt logging and audit trails
- Data loss prevention
- Sensitive data detection
- Personally identifiable information masking
- Policy enforcement
- Usage monitoring
- Compliance reporting
- AI governance controls
- User and department-level permissions
Use the Right AI Model for Each Task
No single AI model is ideal for every business need.
One model may perform well for writing and summarization, while another may be better suited for software development, data analysis, research, or document review.
A multi-LLM gateway gives approved users access to multiple models through one secure environment.
Business Benefits of Multi-Model Access
- Reduce dependence on one AI provider
- Match models to specific workloads
- Support new models as the market changes
- Apply the same governance rules across models
- Improve cost and performance management
Control AI Spending Without Limiting Adoption
AI costs can become difficult to manage when departments use separate subscriptions, APIs, models, and applications.
A centralized AI gateway can help IT leaders monitor and control spending across the organization.
AI Cost Management Capabilities
- Token and usage tracking
- Cost reporting by model
- Cost reporting by department
- Usage thresholds
- Department budgets
- Intelligent model routing
- Lower-cost model recommendations
- Duplicate subscription reduction
- Prompt and response optimization
- Usage trend reporting
The platform can direct certain requests to lower-cost models while reserving advanced models for tasks that require stronger reasoning or higher output quality.
Connect AI to Approved Business Data
Public AI models do not understand your company’s internal processes, policies, documents, or customer information unless those sources are securely connected.
An enterprise AI gateway can support controlled access to approved data sources such as:
- Microsoft 365
- SharePoint
- Customer relationship management platforms
- Enterprise resource planning platforms
- Internal databases
- Knowledge bases
- Document repositories
- Cloud storage
- Service management platforms
- Company policies and procedures
Retrieval-Augmented Generation (RAG)
Retrieval-augmented generation (RAG) provides AI models with relevant company information without retraining the model.
Existing access controls can help ensure employees only receive information they are authorized to view.
Support AI Use Cases Across Your Organization
IT and Operations
Streamline support, summarize incidents, create documentation, and find approved technical information.
Finance
Summarize financial documents and support faster analysis and reporting.
Marketing
Generate drafts, summarize research, and accelerate content workflows.
Customer Service
Summarize interactions, find approved answers, and support agents.
Engineering
Assist with documentation, testing, troubleshooting, and software development workflows.
Human Resources
Support onboarding, answer employee questions, and help staff find internal policies.
Understand How AI Is Used Across Your Business
Centralized reporting gives IT leaders a clearer view of AI adoption and risk.
Depending on the selected platform, reporting may include:
- Active users and usage by department
- Model selection
- Prompt activity
- Token consumption and estimated costs
- Policy violations and blocked requests
- Sensitive data events
- Adoption and performance trends
These insights can help the organization improve policies, manage budgets, identify training needs, and measure adoption.
Why Work With Stratosphere Networks?
Find the Right Enterprise AI Gateway
Selecting an AI gateway requires more than comparing feature lists. The right platform must fit your current technology environment, identity systems, security requirements, compliance obligations, data sources, AI use cases, and budget.
Our technology advisors can help you:
- Assess current AI usage and Shadow AI risks
- Define security, governance, and integration requirements
- Compare enterprise AI gateway platforms
- Evaluate model support, hosting, and deployment options
- Compare reporting, cost controls, and data integration capabilities
- Coordinate supplier demonstrations
- Support contract and pricing reviews
- Plan implementation and phased AI adoption
Our advisory model focuses on identifying solutions that align with the client’s requirements rather than promoting one specific platform.
Ready to Take Control of Enterprise AI?
Our advisors can help you evaluate secure multi-LLM gateway solutions and create a roadmap for responsible, scalable AI adoption.
Unbiased technology advice
Decades of IT experience
Access to leading & niche solutions
White-glove implementation support
Frequently Asked Questions
An enterprise AI gateway is a centralized platform that manages how users and applications access large language models. It can provide security, identity controls, governance, model access, usage tracking, and cost management.
A multi-LLM gateway gives users access to multiple approved AI models through one platform. It allows organizations to select models based on the task, security requirements, performance, or cost.
An AI gateway gives employees an approved way to access AI tools. IT teams can control model access, monitor usage, enforce policies, and protect sensitive data instead of allowing employees to rely on unmanaged public AI accounts.
Yes. Depending on the platform, an AI gateway can track token usage, report costs by department, reduce duplicate subscriptions, and route requests to models based on price and performance.
Yes. Enterprise AI gateways may connect approved models to company data through secure integrations and retrieval-augmented generation. Access should follow existing identity and permission controls.