Best AI Gateways Software

Databricks

Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics, and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. Founded in 2013 by the original creators of Apache Spark™, Delta Lake, MLflow and Unity Catalog, Databricks is built on an open lakehouse architecture that brings data, analytics and AI together. The platform is used by data engineers, data scientists, analysts, developers, machine learning teams, AI teams and business users to collaborate across the full data and AI lifecycle. Key Databricks capabilities include: - Data engineering: Build, automate and manage reliable batch, streaming and real-time data pipelines. - Analytics and business intelligence: Run SQL analytics, create dashboards and enable business teams to explore data. - Data governance: Discover, secure and manage data and AI assets across teams, clouds and workloads. - Machine learning and AI: Develop models, build generative AI applications and create production-grade AI agents. - Data applications: Build and deploy data-driven applications using governed enterprise data. Available across AWS, Azure and Google Cloud, Databricks helps organizations work across clouds, reduce data silos and simplify collaboration across teams and tools. Customers use Databricks for use cases such as customer personalization, fraud detection, predictive maintenance, real-time analytics, cybersecurity, healthcare research, financial risk management, supply chain optimization and AI-powered decision-making. Databricks is used across industries including financial services, healthcare and life sciences, retail, manufacturing, energy and the public sector. Organizations use the platform to modernize data infrastructure, accelerate AI adoption and turn enterprise data into business value.

Average Rating: 4.6/5.0

Total Reviews: 1,374

Cloudflare Application Security and Performance

Cloudflare is the connectivity cloud for the "everywhere world," on a mission to help build a better Internet. We provide a unified platform of networking, security, and developer services delivered from a single, intelligent global network that spans hundreds of cities in over 125 countries. This empowers organizations of all sizes, from small businesses to the world's largest enterprises, to make their employees, applications, and networks faster and more secure everywhere, while significantly reducing complexity and cost. Our comprehensive platform includes: - Advanced Security: Protect your online presence with industry-leading DDoS protection, a robust Web Application Firewall (WAF), Bot mitigation, and API security. Implement Zero Trust security to secure remote access, data, and applications for your entire workforce. - Superior Performance: Accelerate website and application loading times globally with our Content Delivery Network (CDN), intelligent DNS, and smart routing capabilities. Optimize images and deliver dynamic content with unparalleled speed. - Powerful Developer Tools: Empower your developers to build and deploy full-stack applications at the edge using Cloudflare Workers (serverless functions), R2 Storage (object storage without egress fees), and D1 (serverless SQL database). Cloudflare helps connect and protect millions of customers globally, offering the control, visibility, and reliability businesses need to work, develop, and accelerate their operations in today's hyperconnected landscape. Our global network continuously learns and adapts, ensuring your digital assets are always protected and performing at their best.

Average Rating: 4.5/5.0

Total Reviews: 783

MuleSoft Anypoint Platform

MuleSoft Anypoint Platform is the industry-leading integration and governance solution designed to connect any application, API, and AI agent across hybrid and multi-cloud environments. For nearly two decades, we have served as the integration backbone for the world’s most complex enterprises. Today, we are extending to the AI era. We allow organizations to move beyond AI sprawl into a unified architecture where legacy systems, modern APIs, and autonomous agents interact securely on a single, trusted foundation. Key capabilities and components include: Hybrid integration and connectivity, utilizing a library of hundreds of pre-built connectors and support for new AI protocols like MCP and A2A to provide AI agents with the tools they need to access and act within legacy ERPs, CRMs, and on-premise databases. MuleSoft Agent Fabric: Unified API and agent governance, applying the same rigorous security policies, cost controls, and traffic enforcement to AI models and agents that organizations already trust for their global API ecosystems through a single, federated control plane. Fabric also includes agent visibility and registry, offering a single source of truth to discover and observe any cross-ecosystem agent, ensuring complete transparency and the elimination of shadow AI. MuleSoft Vibes: Natural language design and management, providing a revamped experience where teams can use native natural language prompts to scaffold integrations, manage lifecycles, and stay ahead of technical sprawl using the AI tools they already prefer. Trusted runtime and compliance, delivering a fully managed, hybrid, or on-prem foundation that has been proven at scale for years, ensuring that every interaction is backed by enterprise-grade monitoring and human-in-the-loop security. Overall, MuleSoft Anypoint Platform is the enterprise platform for organizations seeking to bring visibility, trust, and orchestration to their APIs and AI agents.

Average Rating: 4.4/5.0

Total Reviews: 775

Kong Konnect

Kong is an AI and API connectivity platform designed to help platform engineering teams, DevOps organizations, and enterprise architects deploy, secure, observe, and govern API traffic across cloud, on-premises, and hybrid environments. Built on open-source foundations, Kong facilitates the management of the entire lifecycle of APIs and AI traffic at scale, encompassing everything from development and deployment to runtime policy enforcement and observability. Targeted primarily at mid-market and enterprise organizations with complex distributed architectures, Kong is particularly beneficial for those utilizing microservices, multi-cloud deployments, and AI-powered applications. The platform caters to a diverse audience, including platform engineers, API program managers, security architects, and development teams that require consistent and governed API access across both internal and external systems. By addressing the challenges of API sprawl, inconsistent security enforcement, and observability gaps, Kong provides a robust solution for organizations navigating the complexities of modern infrastructure. Kong's capabilities are extensive and designed to tackle several recurring infrastructure challenges. The platform's API Gateway and Lifecycle Management features enable efficient routing, load balancing, authentication, authorization, rate limiting, and transformation for various API types, including REST, GraphQL, gRPC, and event-based APIs. Additionally, with the rise of generative AI, Kong has developed an AI Gateway specifically for managing traffic to large language models (LLMs) and AI agents. This includes functionalities such as prompt and response management, semantic caching, and token-based rate limiting, ensuring that organizations can effectively govern their AI workloads. Another significant feature of Kong is its Service Mesh, which provides east-west traffic management between services within a cluster or across clusters. This includes support for mutual TLS (mTLS), traffic policies, and observability at the service level, enhancing security and monitoring capabilities. The Konnect SaaS Control Plane further streamlines the management of Kong deployments globally, offering centralized analytics, developer portal capabilities, and API catalog management. Kong's extensibility is another key differentiator, featuring a plugin architecture with over 100 pre-built integrations that cover a wide range of functionalities, including logging, authentication providers, observability backends, and AI providers. Available as open-source software, an enterprise distribution, or a fully managed SaaS offering, Kong integrates seamlessly with Kubernetes and supports deployment on major cloud platforms such as AWS, Azure, and GCP. This flexibility allows organizations to leverage Kong across heterogeneous environments without necessitating a complete infrastructure overhaul.

Average Rating: 4.4/5.0

Total Reviews: 355

Tyk

Tyk powers AI-connected enterprises as the only API management platform with native Model Context Protocol (MCP) support. Trusted by Fortune 500 companies who require secure, governed AI model connectivity at billion-transaction scale, with the infrastructure controls enterprise architects demand: full Infrastructure as Code automation, policy-as-code governance, and declarative configuration across every environment. Available as cloud, self-hosted, or hybrid solutions, Tyk fits wherever your architecture lives today and scales to wherever AI takes you next. Tyk API Gateway Tyk’s enterprise-ready API gateway is built for speed, security, and scale. Tyk handles authentication, rate limiting, analytics, and traffic management across REST, GraphQL, gRPC, SOAP, and async protocols, with no feature lockout. Deploy in the cloud, on-premises, or hybrid environments, and manage the full API lifecycle from a single control plane. Trusted by thousands of organisations worldwide, Tyk is consistently benchmarked as one of the fastest gateways on the market. Tyk MCP Gateway Tyk MCP Gateway sits in front of remote MCP servers and applies authentication, granular access control, per-tool rate limiting, and full observability to every request. The architecture is additive: MCP proxies are managed alongside APIs in the same Tyk dashboard, using the same policies, key management, and tooling. With capabilities like tool-level rate limiting and filtered discovery, enterprises can deploy AI agents at scale without sacrificing security, compliance, or operational control. Tyk AI Studio Tyk AI Studio is an open source solution for routing, governing, and securing all AI traffic across your organization. It provides a single control plane for LLMs, agents, MCP toolchains, and RAG workloads, enforcing policies, tracking costs, and maintaining compliance. Features include multi-vendor model routing, PII redaction, RBAC, prompt injection protection, and complete audit trails. Available as a Community Edition or Enterprise Edition, it keeps AI infrastructure from becoming a bottleneck as models and standards evolve.

Average Rating: 4.5/5.0

Total Reviews: 56

WSO2 API Platform

WSO2 API Platform is an open source, unified control plane for managing APIs, AI, and event-driven traffic across cloud, hybrid, and on-prem environments. It enables organizations to design, secure, govern, and productize APIs while scaling agentic and LLM-based workloads with built-in governance and security controls. Teams use WSO2 to prepare APIs for AI agents with auto-generated MCP servers, centrally manage outbound LLM traffic, and gain full visibility into API and AI usage, performance, and cost. The platform supports bi-directional AI governance, covering both inbound agent-to-tool traffic via MCP and outbound app-to-LLM traffic from one control plane. Unlike traditional API management tools, WSO2 API Platform supports both human and agentic consumers from a single platform. It manages APIs across WSO2 and third-party gateways, including Kong, AWS, Azure, Envoy, and Apigee, with federated policy enforcement from a single control plane. Built-in monetization (powered by Moesif) lets teams meter, bill, and productize API calls and LLM token usage through connectors for Stripe, Zuora, Chargebee, and more. Key capabilities include: ➡️ Full lifecycle API management with MCP Gateway (auto-generates MCP servers from ➡️ OpenAPI specs) and LLM Gateway (routing, semantic caching, guardrails, PII masking, and token cost control). ➡️ Deep analytics for API and AI usage powered by Moesif. ➡️ Compliance support for HIPAA, PCI-DSS, FedRAMP, GDPR, DORA, SOX, ITAR, and EU AI Act, with integration for Azure Content Safety and AWS Bedrock Guardrails. ➡️ Flexible deployment: SaaS, Kubernetes, hybrid, and self-hosted. ➡️ 100% open source with zero vendor lock-in. WSO2 API Platform helps enterprises modernize their API programs, adopt AI responsibly, and turn APIs and AI services into secure, scalable digital products.

Average Rating: 4.5/5.0

Total Reviews: 139

Amplify Platform

Axway Amplify Platform is an enterprise platform for connecting, governing, and controlling APIs, AI, and enterprise services. It gives organizations the visibility and control to securely connect AI to enterprise systems, govern how APIs and AI services are created and used, and make trusted capabilities easier to discover and reuse. Built on Axway’s decades of experience securing and governing mission-critical enterprise data flows, Amplify Platform brings that foundation of trust and control to APIs and AI. As enterprises adopt generative AI, agentic AI, and AI-powered applications, they need more than connectivity. They need to control how AI models, agents, APIs, data, and enterprise systems interact, while maintaining security, compliance, and data sovereignty. Amplify Platform brings together four capabilities for connecting, governing, and controlling enterprise APIs, AI, and services: AI Control Plane Control how AI and agents operate across the enterprise. Apply policies, security, sovereignty, and observability to AI interactions while governing how agents, models, tools, data, and enterprise systems connect. Integration Fabric Connect enterprise systems, data, APIs, and AI through governed integration. Orchestrate interactions across applications and services and make existing enterprise capabilities securely available to applications and AI agents, including through MCP. API Management Govern, secure, and manage APIs across distributed teams, gateways, and environments. Apply consistent policies and visibility while giving teams the autonomy to build and operate APIs at scale. Engagement Portal Make APIs, AI services, MCP services, and enterprise capabilities easier to discover, consume, reuse, and monetize. Provide secure self-service experiences for developers, partners, business teams, and AI agents. Together, these capabilities help enterprises connect AI to the business, enforce governance and security, increase discoverability and reuse, and maintain control as AI adoption scales. With flexible deployment across cloud, hybrid, and sovereign environments, Amplify helps organizations operationalize AI while maintaining control over their data, architecture, security, and regulatory requirements.

Average Rating: 4.4/5.0

Total Reviews: 112

Portkey

Portkey is the essential control panel for AI-powered applications, trusted by thousands of dev teams worldwide. Our comprehensive suite includes: - AI Gateway: Seamlessly manage and route your AI requests - Guardrails: Ensure reliability and security in your AI operations - Observability Suite: Gain deep insights into your AI app performance - Prompt Management: Create, manage, version, and deploy prompts with ease across all AI providers. Improve your AI app development process with Portkey's reliable and cost-effective solution, designed for speed and performance.

Average Rating: 4.6/5.0

Total Reviews: 18

CData Connect AI

CData Connect AI is the AI gateway that makes AI more accurate, for less. Built on CData's enterprise MCP platform, it gives every agent, copilot, and model one governed path to hundreds of enterprise systems, including Salesforce, NetSuite, SAP, ServiceNow, Workday, Snowflake, and Databricks, over live data instead of stale copies. Unlike gateways that only proxy traffic to model providers, Connect AI starts at the source connection. Its Context Engine carries your schemas, metric definitions, business rules, and company knowledge with every request, so answers are grounded in how your business actually works, and a self-learning loop turns every correction and successful query into shared context that every agent on every model inherits. Identity is verified on every call, policy is enforced down to the record, and joins, filters, and calculations run in the platform so the model reads only what it needs. Increase accuracy Context Engine: A unified context graph of system context (schemas, objects, and relationships known on day one), curated data models, semantic metric definitions, and company knowledge, retrievable by any model over MCP. Every answer applies the same definitions, no matter which tool or model asks. Self-learning loop: Every user correction, recurring join or filter, successful tool-call pattern, and definition surfaced from wikis, Slack, or Teams becomes a governed proposal. Once an owner approves it, every agent on every model inherits it, so accuracy compounds with use instead of decaying between manual updates. Virtual Data Layer: Live, modeled access across sources, so agents answer from current records rather than stale copies, with cross-system joins and derived views that shape data for each use case. Reduce cost Model Gateway: Route every request to the lowest-cost model that fits the task across Claude, GPT, Gemini, Llama, Mistral, DeepSeek, Qwen, xAI, and local deployments, with automatic failover, per-team and per-agent budgets, and caching. Fewer tokens per request: Joins, filters, and calculations run in the platform before data reaches the model, and context retrieval returns only the matching concept and its links. In benchmark conditions, a multi-source query dropped from 22 tool calls to one and from 183,541 tokens to 4,427. Lean toolsets: The MCP Gateway exposes only the tools each agent needs, cutting retries and extra turns from agents picking the wrong tool. Govern access MCP Gateway: One governed connection layer to hundreds of enterprise systems through CData-owned, custom, or third-party MCP servers, with every agent registered on a single control plane. Identity and record-level policy: User and agent identity resolved on every request, with policy enforced in each connected system down to the record, not just at the API edge. Observability and audit: Guardrails, budgets, and usage visible across every team and tool, with every answer linked to one audit trail. The context graph lives in the gateway, not in any model, so switching providers never leaks or loses accumulated knowledge. Proven results In CData Labs benchmarks, Connect AI answered 98.5% of queries correctly versus 65–75% for other MCP providers, and delivered the same correct answer at up to a 178× cost spread across models. Works with Claude Code, Copilot, Cursor, LangChain, CrewAI, Codex, Bedrock, and any custom agent. Trusted by GSK, Salesforce, Palantir, Google, and 10,000+ CData customers.

Average Rating: 4.6/5.0

Total Reviews: 27

KrakenD AI & API Gateway

KrakenD is the next-generation API Gateway built for high-performance, large-scale environments. Its stateless, database-free architecture enables true linear scalability with minimal infrastructure and no external dependencies. You can deploy KrakenD anywhere, scale without coordination, and operate efficiently using GitOps workflows and declarative configurations. It supports a wide range of protocols and patterns—REST, gRPC, GraphQL, WebSockets, SOAP, Backend For Frontend (BFF), and more—without middleware bloat. Teams use KrakenD to aggregate responses, transform data, enforce security, and simplify complex API topologies into a single, maintainable layer. No custom services, no unnecessary logic on the frontend. KrakenD avoids per-request pricing and opaque licensing. Instead, it offers predictable flat-rate plans that scale with your architecture, not your traffic. Whether you're modernizing from legacy systems or consolidating fragmented APIs, KrakenD gives you performance, flexibility, and full control over your API infrastructure.

Average Rating: 4.7/5.0

Total Reviews: 69

TrueFoundry

TrueFoundry is an Enterprise Platform as a Service that enables companies to build, observe, and govern Agentic AI applications securely, scalably, and with reliability through its AI Gateway and Agentic Deployment platform. Leading Fortune 1000 companies trust TrueFoundry to accelerate innovation and deliver AI at scale, with over 1 trillion tokens per day processed via the TrueFoundry AI Gateway and more than 1,000 clusters managed by its Agentic deployment platform. TrueFoundry’s vision is to become the central control plane for running Agentic AI at scale within enterprises, serving as the command center for enterprise AI. Headquartered in San Francisco, TrueFoundry operates across North America, Europe, and Asia-Pacific, supporting enterprise AI deployments for some of the world’s most innovative organizations. To learn more about TrueFoundry, visit truefoundry.com.

Average Rating: 4.6/5.0

Total Reviews: 58

ZenMux

Average Rating: 4.5/5.0

Total Reviews: 4

Opper AI

Opper AI is the European AI gateway for agents. One API key gives you access to 700+ models across 30+ providers, all modalities, at the providers' own rates with no token markup. The gateway is OpenAI SDK compatible, so migrating means changing your base URL and API key. Streaming, tool calling and prompt caching pass through unchanged. Pass a fallback model list per request and you are only billed for the response that succeeds. When you need more than routing, turn on the control plane. Route sets default models per org, project or function so you can switch models without a redeploy. Observe scores every generation with an LLM judge. Steer uses those scores to optimize prompts automatically. Guard handles PII masking, content filtering and output validation. Comply enforces model allowlists by provider and region, budget caps and retention controls. Built in Stockholm, hosted in the EU, GDPR compliant. No per-seat fees and no minimum spend.

Average Rating: 5.0/5.0

Total Reviews: 3

Stacklok

Stacklok offers a self-hosted, Kubernetes-native platform for AI agent hosting and governance. Stacklok helps leaders across functions deepen AI agent adoption by their teams. At our customers, Engineering leaders are surfacing new measures of AI impact, HR leaders are shifting time from low-value operations to high-impact people programs, and Finance leaders are closing quarters in a fraction of the time. That's because we're connecting their AI agents to their sensitive business data and systems, so they're more powerful and better governed. And our Applied AI Engineers embed with customers at every step, ensuring they achieve their business objectives and use AI agents as a competitive advantage. In a market with a lot of hype, Stacklok is proving it understands real enterprise requirements. Our CEO, Craig McLuckie and CTO, Joe Beda were co-creators of Kubernetes and co-founders of Heptio. We are maintainers of the official Model Context Protocol registry. Our own popular open source MCP platform, ToolHive, has external maintainers and a growing community of contributors. And our platform is trusted to run AI agents in production at multiple Global 2000 enterprises.

Average Rating: 4.3/5.0

Total Reviews: 3

Azure API Management

Microsoft Azure API Management - Take any backend and publish an API in minutes! Transform it, protect it, promote it and monitor it in the cloud.

Average Rating: 4.2/5.0

Total Reviews: 31