Secure Deployment : VPC | On-Prem | Air-Gapped

Enterprise Grade AI Gateway

Enterprise-Ready AI Gateway for secure, high-performance LLM access, observability, and orchestration.

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Unified API Access to 250+ LLMs

Simplify your GenAI stack with a single AI Gateway that integrates all major models.

  • Connect to OpenAI, Claude, Gemini, Groq, Mistral, and 250+ LLMs through one AI Gateway API
  • Use the AI Gateway to support chat, completion, embedding, and reranking model types
  • Centralize API key management and team authentication inside the AI Gateway
  • Orchestrate multi-model workloads seamlessly through your AI Gateway infrastructure
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Observability & Insights

  • Monitor token usage, latency, error rates, and request volumes across the AI Gateway
  • Store and inspect full request/response logs from the AI Gateway for compliance and debugging
  • Tag traffic in the AI Gateway with metadata like user ID, team, or environment for granular insights
  • Filter logs and metrics by model, team, or geography to identify root causes using the AI Gateway
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Quota Management & Access Control

Protect budgets, enforce governance, and reduce risk using AI Gateway-level policies.

  • Apply rate limits per user, service, or endpoint through the AI Gateway
  • Set cost-based or token-based quotas using metadata filters in the AI Gateway
  • Use role-based access control (RBAC) directly within the AI Gateway to isolate usage
  • Govern service accounts and agent workloads at scale through AI Gateway rules
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Ensuring predictable usage, strong access boundaries, and scalable team-level governance for your GenAI infrastructure.

Ultra-Low Latency Inference

Run your most performance-sensitive workloads through a high-speed AI Gateway.

  • The AI Gateway delivers sub-3ms internal latency under enterprise load
  • Handle burst traffic and high-throughput workloads efficiently via the AI Gateway
  • Support real-time chat, RAG, and assistants with predictable response times through the AI Gateway
  • Deploy the AI Gateway near inference layers to eliminate network lag
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Place the AI Gateway directly in your production inference path — its low-latency architecture ensures no performance tradeoffs.

Intelligent Routing, Load Balancing & Fallbacks

Ensure reliability, even during model failures, with smart AI Gateway traffic controls.

  • AI Gateway supports latency-based routing to the fastest available LLM
  • Distribute traffic via weighted load balancing through your AI Gateway
  • Automatically fallback to secondary models when a request fails in the AI Gateway
  • Use geo-aware routing inside the AI Gateway to meet regional compliance and availability needs
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This system ensures you never go offline, even when individual models face downtime or spike in latency.

Deploy & Serve Self-Hosted Models via AI Gateway

Expose open-source models with full control through the AI Gateway.

  • Deploy LLaMA, Mistral, Falcon, and more with zero SDK change using the AI Gateway
  • Full compatibility with vLLM, SGLang, KServe, and Triton through the AI Gateway
  • Manage autoscaling, GPU scheduling, and deployment via Helm with the AI Gateway integration
  • Run your own models in VPC, hybrid, or air-gapped environments using the AI Gateway
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MCP Server Integration

Power secure agent workflows through the AI Gateway’s native MCP support.

  • Connect enterprise tools like Slack, GitHub, Confluence, and Datadog via the AI Gateway
  • Register internal MCP Servers with minimal config using the AI Gateway
  • Apply OAuth2, RBAC, and metadata policies to every tool call routed through the AI Gateway
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Guardrails & Compliance

  • Seamlessly enforce your own safety guardrails, including PII filtering and toxicity detection
  • Customize the AI Gateway with guardrails tailored to your compliance and safety needs
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Enterprise-Ready

Your data and models are securely housed within your cloud / on-prem infrastructure

  • Compliance & Security

    SOC 2, HIPAA, and GDPR standards to ensure robust data protection

  • Governance & Access Control

    SSO + Role-Based Access Control (RBAC) & Audit Logging

  • Enterprise Support & Reliability

    24/7 support with SLA-backed response SLAs

Plans for everyone

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Choose your plan according to your organisational needs
Pricing
Gateway
Observability
Prompt Management & Guardrails
Security & Compliance
Service Level Agreement (SLA)
Free forever Developer
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50k logs per month free
Universal API, Rate Limiting, Fallback, Load balancing
Logs, Metrics & traces storage with 30 days retention
Basic Controls
Standard Security
Slack Support
$49/month Plus
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200k logs per month free, $10 per additional 100k requests
Universal API, Rate Limiting, Fallback, Load balancing
Logs, Metrics & traces storage with 30 days retention
Advanced Controls
Standard Security
Slack Support
Custom pricing Enterprise
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Custom pricing
Universal API, Rate Limiting, Fallback, Load balancing
Logs, Metrics & traces storage with custom retention
Custom Policies & Compliance Enforcement
SOC2, HIPAA Compliance, VPC/On-Prem Hosting, Export to Data Lake
Enterprise-Grade SLAs
Deploy TrueFoundry in any environment

VPC, on-prem, air-gapped, or across multiple clouds.

No data leaves your domain. Enjoy complete sovereignty, isolation, and enterprise-grade compliance wherever TrueFoundry runs

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Frequently asked questions

Introduction

An AI Gateway is a crucial component in modern AI-driven architectures, acting as an interface between AI models and various services or applications. It enables seamless communication, ensuring that machine learning models can be easily integrated and accessed across different environments. By managing model deployment, orchestration, and interaction, an AI Gateway enhances the scalability and efficiency of AI systems. It provides secure access control, monitoring, and optimization of AI models, offering businesses an organized solution for managing multiple AI services. As AI continues to evolve, having a reliable and efficient AI Gateway has become essential for any organization leveraging advanced machine learning technologies.

What is an AI Gateway?

An AI Gateway is a specialized middleware platform designed to facilitate the integration, management, and deployment of artificial intelligence (AI) models and services within an organization's IT infrastructure. It acts as a bridge between AI systems, such as large language models (LLMs) like OpenAI's GPT or Anthropic's Claude, and end-user applications, ensuring efficient and secure communication. By consolidating multiple AI services behind a single endpoint, an AI Gateway simplifies the interaction between applications and AI models, enhancing scalability and maintainability.
Unlike traditional API Gateways, which primarily handle standard web traffic, AI Gateways are tailored to address the unique challenges posed by AI workloads. These include managing large volumes of data, ensuring model accuracy, and maintaining the performance of AI services. AI Gateways provide specialized functionalities such as token-based observability, LLM usage tracking, and prompt enrichment, which are essential for effective AI operations.
Furthermore, AI Gateways play a crucial role in enhancing security and governance over AI services. They offer robust mechanisms for access control, rate limiting, and observability, ensuring that AI consumption aligns with organizational policies while safeguarding sensitive data. By efficiently managing AI infrastructure and ensuring optimal performance, AI Gateways help organizations maintain control over AI-driven workloads.
An AI Gateway acts as the control plane for how applications interact with AI models, facilitating seamless integration, ensuring compliance, and optimizing performance across AI workloads. As AI continues to evolve, having a reliable and efficient AI Gateway has become essential for any organization leveraging advanced machine learning technologies.

Key Features of AI Gateway

AI Gateways are vital in managing the seamless interaction between AI models and various applications within an organization. They simplify integration, enhance scalability, and ensure smooth operations across diverse AI systems. By providing a centralized platform for AI services, AI Gateways address the unique challenges that arise when deploying AI at scale. Below are the key features that define a robust AI Gateway.

Unified API Access

AI Gateways provide a standardized interface that allows applications to interact with multiple AI models and services without dealing with the complexities of each individual API. This unified access layer abstracts the differences between various AI model providers, making integration more efficient. With a single API endpoint, organizations can connect to different AI models, whether they are large language models (LLMs), image recognition models, or other specialized AI services. This ensures flexibility and simplifies the maintenance of AI services by eliminating the need for multiple integrations.

Intelligent Load Balancing and Failover

One of the critical functions of an AI Gateway is to manage load balancing and ensure failover capabilities. Load balancing intelligently distributes incoming requests across multiple AI models or service instances based on parameters such as model performance, latency, and availability. This ensures that no single model becomes overloaded with requests, improving the responsiveness and reliability of AI applications. In the event of a failure or degradation in one service, the AI Gateway can reroute traffic to another service seamlessly, maintaining uninterrupted service for end users. This automatic failover reduces the risks associated with downtime and ensures high availability for AI-driven applications.

Cost Management and Visibility

With AI services often consumed on a pay-per-use basis, monitoring and managing costs are essential for organizations deploying AI at scale. AI Gateways provide features for tracking usage and associated expenses across different models and services. These tools offer visibility into the cost of running AI workloads, which helps businesses optimize their AI spending by identifying underutilized models or services. By providing real-time analytics and insights into consumption patterns, AI Gateways enable organizations to set budget limits, get alerts for excessive usage, and fine-tune AI deployments to stay within financial constraints.

Advanced Security and Compliance

Given the sensitivity of data handled by AI models, security and compliance are top priorities in AI operations. AI Gateways implement various security mechanisms, including authentication protocols, encryption, and role-based access control (RBAC). These controls ensure that only authorized users and applications can access AI services. Additionally, AI Gateways often offer fine-grained access control policies that allow organizations to restrict certain users or teams from accessing specific models or data. They also support compliance with regulations such as GDPR, HIPAA, and CCPA by ensuring that sensitive data is handled securely and in accordance with legal requirements.

Observability and Monitoring

AI Gateways provide powerful observability tools that allow organizations to monitor the performance and health of their AI models in real time. These monitoring tools track important metrics such as response times, error rates, model accuracy, and resource usage. Observability helps detect issues early, allowing teams to take corrective actions before performance degrades. By providing detailed logs and dashboards, AI Gateways give businesses the transparency they need to optimize the performance of their AI services, ensuring smooth and efficient operations.

Prompt Management and Versioning

Effective management of prompts is crucial for ensuring the consistency and quality of AI outputs. AI Gateways offer prompt management capabilities that allow businesses to store, organize, and version different prompts used across applications. This ensures that teams can experiment with and optimize prompt configurations while maintaining control over previous versions. With prompt versioning, organizations can test new prompts, monitor their effectiveness, and revert to earlier versions if needed. This flexibility enables continuous improvement of AI-driven applications by fine-tuning interactions with models to deliver more accurate and relevant responses.

Batch Processing and Asynchronous Inference

AI Gateways support batch processing and asynchronous inference, enabling organizations to handle large volumes of data efficiently. This feature allows AI systems to process multiple requests simultaneously, which is particularly useful for tasks like data analysis, image processing, or document classification. Asynchronous processing helps improve throughput and reduce latency, making AI models more efficient when dealing with bulk data. Organizations can offload long-running tasks to the AI Gateway and receive the results at a later time, optimizing the utilization of computational resources and improving the scalability of AI systems.
These features collectively empower businesses to leverage AI models at scale, ensuring that the integration, security, and performance of AI services meet the demands of modern AI-driven applications. With a comprehensive set of tools for managing costs, monitoring performance, and ensuring security, AI Gateways are essential in optimizing the deployment and operation of AI models.

Benefits of Implementing an AI Gateway

Implementing an AI Gateway offers organizations a centralized platform to manage, integrate, and optimize their AI services. This strategic approach brings several advantages:

  • Centralized Control and Simplified Integration

    AI Gateways provide a unified interface to connect various AI models and services, simplifying the integration process. This centralization reduces the complexity associated with managing multiple AI providers and ensures consistent communication protocols across applications. By abstracting the intricacies of individual AI services, organizations can streamline their AI operations and focus on application development.

  • Enhanced Security and Compliance

    Security is paramount when deploying AI models, especially in regulated industries. AI Gateways enforce robust security measures, including authentication, encryption, and access control policies. These features help protect sensitive data, prevent unauthorized access, and ensure compliance with data protection regulations. By acting as a gatekeeper, AI Gateways mitigate risks associated with AI service consumption.

  • Cost Management and Optimization

    AI services often operate on a pay-per-use model, making cost management crucial. AI Gateways offer tools to monitor usage, set budget limits, and optimize resource allocation. Features like rate limiting, caching, and usage analytics enable organizations to control expenses and avoid unexpected costs. This financial oversight ensures that AI investments align with organizational budgets.

  • Improved Performance and Reliability

    AI Gateways enhance the performance and reliability of AI applications by implementing intelligent load balancing and failover mechanisms. These features distribute requests efficiently across AI models, ensuring optimal response times and minimizing service disruptions. By monitoring the health of AI services, Gateways can reroute traffic in case of failures, maintaining continuous service availability.

  • Governance and Policy Enforcement

    Implementing governance frameworks is essential for responsible AI usage. AI Gateways facilitate the enforcement of policies related to data usage, model access, and ethical considerations. By centralizing policy management, organizations can ensure that AI applications adhere to internal standards and external regulations, promoting transparency and accountability.

  • Scalability and Flexibility

    As organizations scale their AI initiatives, the need for scalable infrastructure becomes evident. AI Gateways support horizontal scaling, allowing organizations to accommodate increased demand without compromising performance. They also offer flexibility in integrating new AI models and services, enabling businesses to adapt to evolving technological landscapes and maintain a competitive advantage.

How to Choose the Right AI Gateway

Choosing the right AI Gateway is critical for ensuring the effective integration, management, and optimization of AI services within your organization. A well-selected AI Gateway should simplify AI model interactions, improve performance, and provide robust security features. However, the decision involves careful consideration of several factors to ensure alignment with your technical, financial, and organizational requirements.

Assess Your Integration Needs

When selecting an AI Gateway, start by considering your integration requirements. The gateway should support the AI models and services you intend to use, ensuring that they can seamlessly work with your existing systems. It should offer the ability to integrate with various models, whether they are large language models (LLMs), computer vision models, or specialized AI services. A unified API endpoint is crucial for simplifying interactions across multiple AI models, which enhances both scalability and maintainability.
  • Model Compatibility: Ensure the gateway supports the AI models you plan to use.
  • API Compatibility: Verify compatibility with your existing APIs and infrastructure.

Security and Compliance Considerations

Security and compliance are top priorities when selecting an AI Gateway. AI systems often handle sensitive data, and the gateway must ensure that this data is protected throughout its lifecycle. Look for a gateway that offers features like role-based access control (RBAC), encryption for data at rest and in transit, and secure authentication methods such as OAuth or API keys. Additionally, the gateway should assist in meeting compliance regulations such as GDPR, HIPAA, or CCPA, ensuring that your AI systems align with legal and ethical standards.
  • Authentication & Access Control: Check for support for secure authentication and role-based access control.
  • Compliance Standards: Make sure the gateway meets your regulatory compliance needs.

Performance and Scalability

The right AI Gateway should be capable of handling high throughput and low-latency requests, ensuring optimal performance for your AI services. It should offer features such as intelligent load balancing, which distributes incoming traffic across multiple instances or models to avoid overload and minimize latency. Additionally, the gateway should be able to scale horizontally, allowing your AI infrastructure to grow as your needs evolve, without compromising on performance.

Cost Management

Effective cost management is essential, especially when dealing with pay-per-use AI services. An ideal AI Gateway provides visibility into usage metrics, allowing you to track consumption and optimize your AI expenditures. You should look for tools that help monitor API calls and set usage limits, ensuring that costs do not exceed expectations. Furthermore, the gateway should offer a flexible pricing model that aligns with your budget and scaling needs.

Support and Documentation

Consider the support and resources available when selecting a gateway. It’s important that the gateway has comprehensive documentation, tutorials, and SDKs to help with integration and troubleshooting. The vendor should also offer responsive support channels for ongoing assistance. A strong community and support network can significantly ease the deployment and maintenance of your AI systems.
By considering these factors, you can choose the right AI Gateway that meets your technical, security, and performance requirements. A well-chosen gateway will help streamline AI model deployment and ensure your organization can leverage AI technologies effectively and securely.

Best AI Gateway Solution: TrueFoundry

TrueFoundry offers a robust AI Gateway solution designed to streamline the deployment, management, and scalability of AI services. With advanced features like access control, rate limiting, load balancing, and fallback capabilities, TrueFoundry provides a comprehensive platform that empowers businesses to leverage AI efficiently and securely. Below are the key features that make TrueFoundry’s AI Gateway stand out:

  • Access Control

    TrueFoundry’s AI Gateway offers granular access control mechanisms to ensure secure and restricted access to AI models and services. The platform supports role-based access control (RBAC), allowing administrators to define permissions based on the roles of users or teams. This ensures that only authorized users can interact with specific AI models, and sensitive data is protected from unauthorized access. Furthermore, OAuth 2.0 and API key authentication are integrated into the system, providing an additional layer of security to prevent misuse or abuse of the platform. This flexibility in access control enables businesses to comply with stringent security protocols and industry regulations, ensuring that AI services are consumed in a controlled, secure manner.

  • Rate Limiting

    To prevent overuse of resources and control traffic, TrueFoundry’s AI Gateway integrates rate-limiting features. This capability allows businesses to set specific limits on how many requests can be made to the AI models within a given time frame. Rate limiting is essential for optimizing the gateway’s performance, ensuring that it operates within its resource constraints without overloading the system. Businesses can define rate limits based on specific use cases or user groups, providing flexibility in resource management. This feature also helps in cost control by limiting unnecessary or excessive usage, making it easier to stay within budgetary constraints.

  • Load Balancing

    TrueFoundry’s AI Gateway implements intelligent load balancing to distribute requests evenly across multiple instances of AI models. This ensures high availability and reliability of AI services by preventing any single instance from becoming a bottleneck. By balancing the traffic, TrueFoundry ensures that each AI model instance operates optimally, delivering faster responses and improved throughput. This feature is particularly important for organizations that require real-time processing and high-performance AI services. The load balancing capabilities of TrueFoundry allow businesses to scale their AI operations seamlessly without sacrificing performance.

  • Fallback

    TrueFoundry’s fallback feature is crucial for ensuring continuity in the event of model failure or degradation. If a primary AI model fails to respond or produces suboptimal results, the gateway can automatically route requests to an alternative model or backup service. This failover mechanism minimizes downtime and ensures that end-users experience minimal disruption. Fallback strategies can be customized based on the specific AI models in use, allowing organizations to have redundancy and resiliency in their AI workflows. Whether it’s due to model degradation or server downtime, TrueFoundry ensures that AI services remain reliable and performant.

  • Guardrails

    TrueFoundry’s AI Gateway is equipped with guardrails that help organizations maintain control over their AI services. Guardrails are safety mechanisms that prevent models from generating harmful, biased, or inappropriate content. They are designed to enforce ethical guidelines and business rules in AI applications, ensuring that generated outputs align with organizational standards. These guardrails can be customized based on the specific needs of the business, providing an additional layer of security and ensuring that AI services are used responsibly.

  • Observability: Analytics, Logs, and Prompt Management

    TrueFoundry provides comprehensive observability tools, including analytics, logs, and prompt management, to help organizations monitor and optimize their AI services.
    • Analytics: TrueFoundry’s gateway offers detailed usage analytics, helping organizations track API calls, model performance, and resource consumption. This data is invaluable for optimizing AI operations and ensuring cost-effective scaling.
    • Logs: The gateway logs all interactions with AI models, providing a detailed audit trail for security and debugging purposes. Logs help businesses track performance issues, user interactions, and potential errors in real-time.
    • Prompt Management: TrueFoundry also includes advanced prompt management tools, enabling businesses to track and optimize the prompts used with AI models. This feature allows users to manage and version their prompts, ensuring that AI outputs remain consistent and meet the business's requirements. By optimizing prompts, businesses can enhance the quality and relevance of the generated content.

Additional Features

In addition to the above core features, TrueFoundry’s AI Gateway offers seamless integration with other services, making it a highly flexible and scalable solution. The platform is built with multi-cloud support and can easily integrate with various cloud providers, allowing businesses to deploy AI services in the cloud environment of their choice. TrueFoundry also supports real-time inference, ensuring that AI models can respond quickly to user requests and provide real-time insights.
TrueFoundry’s AI Gateway is a comprehensive solution that offers robust security, reliability, and scalability for AI operations. With its advanced features like access control, rate limiting, load balancing, fallback, and observability tools, TrueFoundry provides businesses with the tools they need to effectively manage and deploy AI models at scale. This makes it an ideal choice for organizations looking to build and scale their AI-powered applications.

Conclusion

An AI Gateway is essential for managing, securing, and optimizing AI services at scale. TrueFoundry’s AI Gateway stands out as a comprehensive solution, offering key features such as access control, rate limiting, load balancing, fallback mechanisms, and robust observability tools. These capabilities ensure that businesses can efficiently scale their AI operations while maintaining high security, performance, and cost control. By providing seamless integration and advanced management features, TrueFoundry empowers organizations to leverage AI technologies effectively, driving innovation and delivering reliable, high-quality AI-powered services. It's a must-have for businesses aiming to optimize their AI infrastructure.

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