Best On-Premises AI Gateways

Anaconda gives enterprises one governed path to many models. Through Kilo by Anaconda, builders choose from 500+ open and closed models, including OpenAI, Anthropic, and NVIDIA Nemotron, and route each request to an approved model that balances performance and cost. Administrators decide which models teams can use, and budgets and access controls follow developers across VS Code, JetBrains, the terminal, and Kilo Desktop. Enkrypt AI by Anaconda adds runtime guardrails that detect and block unsafe inputs and outputs, and enforces policy on agent access to tools and data. Teams avoid locking into one model provider and keep visibility into what each model costs as usage scales.

OBVELO is a pseudonymisation gateway for applications that send text to large language models. It sits between an application and its model provider, replacing personal values in each request with tokens before forwarding it to the AI model. After the model responds, OBVELO restores the original values in the answer. This request-and-response flow is designed to help teams use AI models without sending personal values in their original form to the model. The gateway is intended for organizations whose technology, information, and data-protection leaders need to address personal-data exposure in LLM use. Request content is not stored. OBVELO is offered as SaaS and for on-premises deployment.

Manage APIs across clouds and on-premises: In addition to Azure, deploy the API gateways side-by-side with the APIs hosted in other clouds and on-premises to optimize API traffic flow. Meet security and compliance requirements while enjoying a unified management experience and full observability across all internal and external APIs. Move faster with unified API management: Today's innovative enterprises are adopting API architectures to accelerate growth. Streamline your work across hybrid and multi-cloud environments with a single place for managing all your APIs. Help protect your resources: Selectively expose data and services to employees, partners, and customers by applying authentication, authorization, and usage limits.

Taam Cloud is a powerful AI API platform designed to help businesses and developers seamlessly integrate AI into their applications. With enterprise-grade security, high-performance infrastructure, and a developer-friendly approach, Taam Cloud simplifies AI adoption and scalability. Taam Cloud is an AI API platform that provides seamless integration of over 200 powerful AI models into applications, offering scalable solutions for both startups and enterprises. With products like the AI Gateway, Observability tools, and AI Agents, Taam Cloud enables users to log, trace, and monitor key AI metrics while routing requests to various models with one fast API. The platform also features an AI Playground for testing models in a sandbox environment, making it easier for developers to experiment and deploy AI-powered solutions. Taam Cloud is designed to offer enterprise-grade security and compliance, ensuring businesses can trust it for secure AI operations.

DreamFactory Software is the fastest way to build secure, internal REST APIs. Instantly generate APIs from any database with built-in enterprise security controls that operates on-premises, air-gapped, or in the cloud. Develop 4x faster, save 70% on new projects, remove project management uncertainty, focus talent on truly critical issues, win more clients, and integrate with newer & legacy technologies instantly as needed. DreamFactory is the easiest and fastest way to automatically generate, publish, manage, and secure REST APIs, convert SOAP to REST, and aggregate disparate data sources through a single API platform. See why companies like Disney, Bosch, Netgear, T-Mobile, Intel, and many more are embracing DreamFactory's innovative platform to get a competitive edge. Start a hosted trial or talk to our engineers to get access to an on-prem environment!

Kosmoy is an AI governance and management platform for enterprise AI in production. It connects four layers of control: inventory, monitoring, governance and action control. Register AI systems, models, agents and MCP servers with owners and risk assessments. Monitor usage, costs and behaviour across applications. Apply access controls, guardrails, routing and logging to LLM, MCP and agent-to-agent traffic through an AI Gateway. Use Action Capsule to isolate autonomous agent actions with runtime controls and a kill switch. Deploy in your own Kubernetes environment, in the cloud or on premises. Built for AI platform, security, risk and compliance teams that need shared operational evidence and control.

Plano is an AI-native delivery infrastructure platform designed to help organizations build, deploy, and manage agentic applications more efficiently. The platform provides a unified data plane that handles essential AI infrastructure tasks such as agent routing, orchestration, observability, guardrails, and model management. Developers can connect to multiple large language models through a single API while maintaining centralized access controls and operational consistency. Plano supports any programming language or AI framework, allowing teams to integrate it into existing development workflows without vendor lock-in. The platform also provides rich tracing and monitoring capabilities that help teams analyze agent behavior and improve performance over time. By offloading infrastructure complexity, Plano enables developers to focus on creating intelligent agent experiences and accelerating production deployment.

Experiential is an AI model gateway and inference platform for software developers and organizations building AI-enabled products or internal applications. It provides a unified API for routing requests to hosted model providers, customer-supplied provider accounts, and self-hosted or custom models, with OpenAI-compatible and Anthropic API access. Teams can manage API keys, budgets and usage limits, attribute costs to keys or agents, monitor requests, and configure provider routing and fallback behavior. The hosted service includes a free plan and paid monthly plans, while the open-source gateway can also be self-hosted. Enterprise plans add organization controls and data-residency options; paid plans also include model-optimization features, and enterprise customers can commission a model trained on their traffic. Developers can connect compatible applications and coding agents by changing their API endpoint and credentials.

Myra AI Workspace combines an AI gateway with a governed workspace for organizations using AI with sensitive data. Employees use chat, projects, knowledge sources, file imports, and document-generation tools, while administrators manage access, models, and guardrails. The gateway connects to 20+ model providers, including OpenAI, Anthropic, Gemini, Azure OpenAI, AWS Bedrock, Mistral, Groq, DeepSeek, and xAI, through one OpenAI-compatible endpoint. BYOK support lets organizations use provider contracts. A color-coded privacy indicator shows whether data stays on Myra infrastructure with open-weight models, is PII-masked before reaching external models, or requires administrator approval. Features include configurable guardrails, PII masking, tamper-evident audit logs, three-level budget controls, MCP connectors, SCIM, and SIEM forwarding. The platform runs on Myra's EU infrastructure.

Septor Labs is a hosted AI gateway and model router for developers building AI agents, copilots, and LLM-powered applications. It provides a unified API for routing requests to supported models by priority, weight, active connections, or latency. Users can select a model or enable automatic model selection, turn on semantic caching, and configure API keys with individual credit budgets and optional IP allow-lists. Septor Labs supports OpenAI-style and Anthropic-style request formats, so compatible clients can connect through a shared gateway. A web console provides model and usage controls, while prepaid credits support pay-as-you-go usage. The service is intended for developers and teams integrating language-model capabilities into agents, copilots, and other software products.

Openlayer is an enterprise AI governance platform that helps organizations discover, test, monitor, secure, and control AI systems from development through production. The platform brings AI evaluation, observability, governance, guardrails, compliance, gateway enforcement, and cost controls together in one place. Teams can evaluate LLMs, agents, RAG applications, and traditional ML systems using 175+ out-of-the-box evaluations across quality, safety, security, performance, cost, fairness, and compliance. In production, Openlayer provides end-to-end tracing and continuous monitoring of AI behavior, including prompts, responses, tool calls, agent workflows, latency, and cost. Real-time guardrails can detect and block issues such as prompt injection, jailbreak attempts, PII or PHI exposure, and other unsafe behavior before it reaches a model or end user. Openlayer Governance connects organizational AI policies to technical controls. Teams can maintain an AI inventory, assign own

Launch production-ready apps with the LMOps stack for monitoring, model management, and more. Replace your OpenAI or other provider APIs with the Portkey endpoint. Manage prompts, engines, parameters, and versions in Portkey. Switch, test, and upgrade models with confidence! View your app performance & user level aggregate metics to optimise usage and API costs Keep your user data secure from attacks and inadvertent exposure. Get proactive alerts when things go bad. A/B test your models in the real world and deploy the best performers. We built apps on top of LLM APIs for the past 2 and a half years and realised that while building a PoC took a weekend, taking it to production & managing it was a pain! We're building Portkey to help you succeed in deploying large language models APIs in your applications. Regardless of you trying Portkey, we're always happy to help!

Webrix MCP Gateway is an enterprise AI adoption infrastructure that enables organizations to securely connect AI agents (Claude, ChatGPT, Cursor, n8n) to internal tools and systems at scale. Built on the Model Context Protocol standard, Webrix provides a single secure gateway that eliminates the #1 blocker to AI adoption: security concerns around tool access. Key capabilities: - Centralized SSO & RBAC - Connect employees to approved tools instantly without IT tickets - Universal agent support - Works with any MCP-compliant AI agent - Enterprise security - Audit logs, credential management, and policy enforcement - Self-service enablement - Employees access internal tools (Jira, GitHub, databases, APIs) through their preferred AI agents without manual configuration Webrix solves the critical challenge of AI adoption: giving your team the AI tools they need while maintaining security, visibility, and governance. Deploy on-premise, in your cloud, or use our managed service

Apigene MCP Gateway is the runtime layer that connects AI agents to APIs and MCP servers through the Model Context Protocol. It exposes agent tools, context, skills, and instructions as a single remote MCP endpoint that is fully managed and governed, making MCP native rather than experimental. Apigene provides the full agent foundation layer as one MCP Gateway, allowing agents to securely access APIs and MCP servers without custom glue code or framework-specific logic. Teams can build AI agents using chat, defining which APIs and MCP servers the agent can use, how it should reason, and how it should act without code. It supports intelligent tool selection, automatically matching the right API or MCP tool to each request, and multi-platform deployment across ChatGPT, Claude, Cursor, Gemini, VS Code, internal copilots, enterprise AI platforms, and custom apps.

WisGate is a unified AI API gateway built for developers, creators and teams that need fast access to top AI models without managing separate providers, keys or billing systems. Through one API and an interactive Studio, WisGate supports LLM, image generation, video generation and coding workflows across providers such as OpenAI, Anthropic, Google, xAI and DeepSeek. WisGate is designed for teams that want to build faster, compare models in one place and choose the right balance of quality, speed and cost for each project. Developers can integrate models directly through API calls, while creators and non-technical teams can use Studio to generate text, images and videos in the browser.

ApiGo is a hosted AI model gateway for developers and teams building applications with language models. It provides a unified API endpoint for sending requests to supported model providers, with OpenAI-compatible request formats and model selection through a shared interface. The service includes model routing and fallback configuration, API key management, request and usage logs, per-model token pricing, workspace balance controls, and dashboards for reviewing consumption. Developers can use documented setup guides to connect coding assistants and agent tools such as Cursor, Claude Code, Codex CLI, OpenCode, Kimi Code, and OpenClaw. ApiGo is intended for teams that want to manage model-provider access, usage, and billing through one hosted gateway rather than configure each provider separately.

Axway Amplify is an API management and intelligent integration platform that helps enterprises govern, secure, publish, and scale APIs across hybrid, multi-cloud, and on-premises environments. It is built around federated API management, allowing teams to manage APIs across different gateways, vendors, clouds, and deployment patterns without replacing existing systems. The platform includes Amplify API Management, Amplify Fusion, Amplify Engage, Amplify AI Gateway, Amplify Management Plane, and Amplify Agents. Amplify helps organizations manage the full API lifecycle, build low-code integration flows, create curated API marketplaces, and prepare API ecosystems for AI-driven use cases. Its AI Gateway adds governance for AI services, including LLM orchestration, prompt protection, access control, and marketplace publishing for MCP servers.

SecondStack puts a whole company on AI without handing data to third-party clouds. It combines an enterprise LLM gateway with ready-to-use workspaces: Chat for everyday work, Code for engineers, and Agent for automation. The gateway gives platform and security teams one point of control over every model and provider the company uses - centralized authentication, per-team access policies, budgets, and usage visibility. SecondStack deploys in your own infrastructure, so prompts and data stay inside your environment; a managed hosting option is available if you prefer the vendor to run it for you. Pricing is not per-seat, so rolling AI out to the entire organization does not multiply the bill. Deployment and operations are backed by an ISO 27001-certified implementation partner. A practical alternative to assembling LiteLLM plus custom auth, UI, and admin tooling in-house.