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    AI Gateway - Governed Model Access and FinOps

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    Deployed on AWS
    Aivar AI Gateway provides a single inference endpoint with identity, routing, budgets, and policy enforcement for enterprises managing AI spend across any model provider.

    Overview

    Aivar AI Gateway - Governed Model Access and FinOps for the Enterprise

    Aivar AI Gateway sits between your organization's users, applications, and every model provider you use. It delivers a single inference endpoint with identity, routing, budgets, policy enforcement, and full audit logs - giving enterprises the control and visibility they need to scale AI responsibly.

    Whether your teams rely on coding assistants, productivity tools, custom applications, or models hosted on your own infrastructure, the gateway is provider-agnostic and cloud-agnostic by design. Being the neutral layer is its job.


    How It Works

    Applications and agents call the gateway instead of calling model providers directly. One inference endpoint is configured across your organization's tools. The gateway authenticates callers through virtual API keys, applies policy, selects the target model through the routing engine, meters usage, and writes an auditable record - all fast enough to be invisible on the request path.

    Provider keys and credentials are held centrally rather than scattered across teams and applications, closing one of the most common security gaps in enterprise AI estates.


    Intelligent Routing and Resilience

    • Multiple routing strategies - weighted, round-robin, fallback-chain, and cost-optimized routing across configured models and vendors
    • Circuit breaker - stops requests from looping against a failing provider
    • Multi-environment load balancing - spreads traffic across the same model deployed in several environments with a designated backup
    • Automatic failover - provider failures trigger seamless rerouting to keep your applications running

    FinOps and Cost Control

    • Granular budgets - set spending limits at the organization, team, project, and individual user level
    • Usage forecasting - month-end spend projected from current consumption patterns
    • Optimization recommendations - flags where caching or a different model would reduce cost
    • Budget exception workflow - governed process for handling budget overruns
    • Exportable data - usage and cost data ready for finance and BI tools

    Security, Governance, and Policy Enforcement

    • Every caller identified - virtual keys scoped to users, applications, and teams
    • Content policy enforcement applied directly on the request path
    • Scoped policy attachment - apply policies to all requests, specific teams, specific keys, or specific models
    • Policy simulator - test policies against sample requests before enforcing them in production
    • Ready-made templates and custom policies with explicit deny rules
    • Central credential custody - provider keys never live in application code
    • Complete request-level audit - who called what model, in which session, at what cost

    Prompt Intelligence

    Similar prompts are clustered and served from a shared library, raising cache hit rates and reducing redundant calls. Prompt analysis across the organization provides usage behaviour insight so teams can standardize on effective patterns.


    Model Flexibility

    The gateway does not favour any provider. Hosted commercial models and self-hosted endpoints register through the interface and become routable targets. Applications call one consistent API; which model actually answers is a policy decision - by capability, by cost, by data classification, or as an A/B test between candidates. A built-in playground lets teams compare models side by side before standardizing.


    Deployment Options

    • Cloud - deployed into your own cloud account on any major cloud provider
    • On-premise - containerized deployment on your Kubernetes infrastructure, fronting self-hosted models
    • Hybrid - gateway on-premise brokering both internal models and hosted providers under one policy regime

    Scalability and High Availability

    The gateway tier is stateless and scales horizontally with demand. Resilience is built into every layer: provider failures trigger automatic failover, the circuit breaker prevents cascade behaviour, and multi-environment balancing keeps a designated backup warm.


    Four Views of Usage

    Gain visibility at the organization, team, project, and individual user level. Understand which teams use AI effectively, track spending trends, and make data-driven decisions about your AI investments.

    Bring your enterprise AI spend under control and gain full visibility - all through a single, governed gateway.

    Highlights

    • Single Inference Endpoint with Provider-Agnostic Routing: Replace scattered model integrations with one endpoint for your entire organization. The gateway authenticates callers through virtual API keys, applies policies, and routes to any model provider - commercial or self-hosted - using weighted, round-robin, fallback-chain, or cost-optimized strategies. A circuit breaker prevents cascade failures, and multi-environment load balancing keeps a designated backup warm for automatic failover.
    • Enterprise FinOps and Budget Controls: Set budgets at the organization, team, project, and user level with a governed exception workflow. Four views of usage provide visibility from the org level down to individual users. Month-end spend forecasting projects costs from current usage, and optimization recommendations flag where caching or a different model would reduce cost. Usage and cost data is exportable to finance and BI tools.
    • Governance, Security, and Full Audit Trail: Every call is attributable to a user, application, project, and team through gateway-issued virtual API keys. Content policy enforcement runs on the request path with ready-made templates, custom deny rules, and scoped attachment to specific teams, keys, or models. Provider credentials are held centrally rather than in application code. Complete request-level audit logs record the model used, session ID, and cost for every call.

    Details

    Delivery method

    Deployed on AWS
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    Usage information

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    Software as a Service (SaaS)

    SaaS delivers cloud-based software applications directly to customers over the internet. You can access these applications through a subscription model. You will pay recurring monthly usage fees through your AWS bill, while AWS handles deployment and infrastructure management, ensuring scalability, reliability, and seamless integration with other AWS services.

    Resources

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    Support

    Vendor support

    Aivar provides support for the AI Gateway platform to help customers with deployment, configuration, workflow design, and ongoing operations.

    For support inquiries, troubleshooting, or refund requests, please contact us via email (onboarding@aivar.tech )

    AWS infrastructure support

    AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.

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