Alternatives to Plugsky

Gemini Enterprise Agent Platform is Google Cloud’s next-generation system for designing and managing advanced AI agents across the enterprise. Built as the successor to Vertex AI, it unifies model selection, development, and deployment into a single scalable environment. The platform supports a vast ecosystem of over 200 AI models, including Google’s latest Gemini innovations and popular third-party models. It offers flexible development tools like Agent Studio for visual workflows and the Agent Development Kit for deeper customization. Businesses can deploy agents that operate continuously, maintain long-term memory, and handle multi-step processes with high efficiency. Security and governance are central, with features such as agent identity verification, centralized registries, and controlled access through gateways. The platform also enables seamless integration with enterprise systems, allowing agents to interact with data, applications, and workflows securely. Advanced monitoring tools provide real-time insights into agent behavior and performance. Optimization features help refine agent logic and improve accuracy over time. By combining automation, intelligence, and governance, the platform helps organizations transition to autonomous, AI-driven operations. It ultimately supports faster innovation while maintaining enterprise-grade reliability and control.

AnonRouter serves as a hosted API and AI model router tailored for developers engaged in creating AI applications. It offers a single OpenAI-compatible endpoint, providing access to various models from different providers, along with features such as a model catalog, pricing per model, privacy labels, routing capabilities, and automatic failover. Developers can easily link compatible clients by setting up the endpoint and an API key, or they can utilize the browser-based Chat and Studio for models related to text, images, and speech. The billing for requests operates on a prepaid credit system, with charges determined by model usage and additional fees for credit purchases. Depending on the model and provider selected, requests can be processed with standard handling, private options, a trusted execution environment, or end-to-end encryption when available. AnonRouter is specifically crafted for developers, AI teams, and individual users eager to build, connect, or test applications utilizing a diverse array of AI models through a unified interface, making it a versatile solution in the evolving landscape of AI development. Additionally, it enhances collaboration among teams by streamlining access to multiple models and ensuring efficient management of resources.

APIFree serves as a comprehensive AI Model-as-a-Service platform, granting developers and businesses streamlined access to a variety of top-tier AI models via a single, standardized API interface. This platform consolidates both popular open-source and proprietary models across various domains such as text, images, videos, audio, and code, which allows teams to embed multimodal AI functionalities without the hassle of dealing with multiple vendor accounts, SDKs, or complicated billing procedures. Designed to minimize infrastructure complexity, APIFree features an OpenAI-compatible endpoint, facilitating rapid application connectivity while providing the flexibility to switch between different providers as required. The platform prioritizes extensive model availability, reduced end-to-end latency, and consistent high availability, empowering organizations to concentrate on innovating their products instead of grappling with platform fragmentation. In addition, APIFree enhances the AI deployment process by offering unified authentication, quota management, usage analytics, and cost control measures, thereby boosting operational efficiency and simplifying workflows. Moreover, its user-friendly approach helps teams accelerate their AI integration efforts, leading to faster turnaround times and improved project outcomes.

SeedRouter serves as an API platform that allows users to access a variety of AI models for images, videos, language, and audio through a single API key and prepaid balance. It offers endpoints that are compatible with OpenAI for language models, as well as asynchronous task APIs specifically designed for media generation. Developers can conveniently oversee key management, track the status of their requests, and analyze usage and costs at the model level via an intuitive dashboard. Tailored for both developers and product teams, SeedRouter facilitates the integration of diverse AI model families into various applications, streamlining the development process significantly. This makes it an essential tool for those looking to enhance their applications with advanced AI capabilities.

The Meta Model API is an innovative developer interface designed for utilizing Muse Spark 1.1, Meta's advanced multimodal reasoning model tailored for agentic tasks such as coding, tool utilization, and comprehensive computer interactions. Currently available in public preview, this API enables developers to seamlessly integrate Muse Spark 1.1 via an OpenAI-compatible package, simplifying the transition for existing clients while maintaining the same code framework and allowing for easy configuration to the muse-spark-1.1 model. This model excels in personal agentic functions, facilitating planning and coordination across various external applications and services, while also adapting to new native tools, MCP servers, and bespoke skills. Functioning as a primary agent, it can collect contextual information, devise plans, and oversee execution across multiple subagents; conversely, as a subagent, it adheres to its designated role, comprehends available tools, and recognizes when to escalate issues. Additionally, the model is capable of managing a context window of 1 million tokens, allowing it to remember past actions, retrieve information from significantly earlier tasks, and effectively condense context for optimal performance. With these capabilities, the Meta Model API represents a significant advancement in the development of intelligent, responsive applications.

Modelflare serves as a hosted AI API gateway designed for developers who create applications, agents, and workflows that leverage models from various providers, such as GPT, Claude, Gemini, Grok, and DeepSeek. It offers a unified API key and a console that supports OpenAI-compatible chat and responses, Anthropic messages, along with unique interfaces for images and videos specific to each provider. Developers have the flexibility to analyze different models and routing groups, establish primary routes, and define ordered fallback groups, or they can utilize Smart API Keys to strategically choose among the available routes based on their preferred routing methods. Furthermore, API keys can be organized by project, allowing for management through controls like quotas, expiration dates, and restrictions based on model or IP. The service also meticulously tracks usage at the request level, including token counts, routing specifics, and associated costs, with pricing tailored to the chosen model, group, and billing unit. Comprehensive documentation is provided, featuring setup guides for SDKs, coding agents, plugins, and workflow tools, ensuring developers have the necessary resources to maximize their use of the platform. Overall, Modelflare simplifies the integration of multiple AI models into a cohesive environment, enhancing developers' productivity and creativity.

Our systems are globally implemented to ensure optimal response times for users everywhere. You can easily incorporate our OpenAI-compatible API into your application with minimal effort. Start the integration process in mere minutes and efficiently scale it to accommodate millions of users. Take advantage of our extensive scaling capabilities and performance enhancements, which allow our API to be four times more cost-effective than the OpenAI GPT-3.5 API. Experience the ability to generate text and engage in conversations with our AI model, which provides ChatGPT-level performance while being significantly more affordable. Getting started is a quick process, requiring only a few minutes with our API. Additionally, tap into the capabilities of one of the most advanced AI image models to produce breathtaking, high-quality images, graphics, and illustrations in just seconds, revolutionizing your creative projects. This approach not only streamlines your workflow but also enhances your overall productivity in content creation.

LunaRoute serves as a hosted AI inference gateway and API tailored for developers and teams managing coding agents, personal assistants, applications, and automation tasks. It efficiently directs requests to a select collection of open-weight models via endpoints compatible with OpenAI and Anthropic, complemented by a command-line interface and setup documentation to facilitate the integration of coding tools and agent frameworks. Subscription plans offer enhanced concurrent inference capabilities, overflow management, model accessibility, API keys, usage analytics, and administrative controls based on the chosen package. Additionally, users have the option to utilize a hosted MCP server that enables web search functionalities, document conversion with OCR, as well as image generation and editing features. For enterprises, specialized offerings introduce dedicated deployment solutions, customizable routing options, and policy enforcement capabilities. LunaRoute is designed specifically for software developers and engineering teams looking for a streamlined method to link their existing AI clients to model inference services while ensuring scalable performance. This comprehensive approach allows teams to focus on innovation while relying on LunaRoute for their AI integration needs.

RouterBase serves as a comprehensive API gateway, allowing developers and teams to utilize over 200 AI models, including well-known options like GPT, Claude, Gemini, Llama, Mistral, and DeepSeek, all through one OpenAI-compatible endpoint. This eliminates the need for managing different keys and billing systems for each model, as switching between them is as simple as changing a single configuration line. Additionally, RouterBase enhances functionality with intelligent routing, built-in failover capabilities across various providers, and consolidated billing, ensuring that your application remains operational even in the event of an upstream provider failure. Moreover, a free tier is offered with no requirement for a credit card, making it accessible for users to explore the service. With RouterBase, developers can streamline their workflow and focus on building innovative applications without the hassle of juggling multiple integrations.

Confidential AI offers a secure platform for private AI inference, agent environments, and confidential computing solutions tailored for AI laboratories, inference service providers, routers, and organizations that manage sensitive data. Its hosted inference service operates open-weight models within hardware-backed trusted execution environments (TEEs), utilizing technologies such as Intel TDX and AMD SEV-SNP confidential virtual machines, paired with NVIDIA GPUs in a confidential computing configuration. The system ensures that prompts, responses, and workload information remain safeguarded from infrastructure operators, allowing clients to authenticate attestation prior to submitting sensitive information. Users have the flexibility to implement an OpenAI-compatible API to establish inference endpoints and agent workloads, or alternatively, they can acquire the confidential-computing stack for deployment on their own premises, bare metal servers, or across major cloud platforms. This service is particularly beneficial for scenarios that involve serving models while restricting operator access to prompts and model assets, as well as executing sensitive AI workloads in a dedicated confidential computing environment. Additionally, the emphasis on robust security measures fosters trust in the processing of sensitive data, enabling clients to focus on innovation without compromising privacy.

WhollyAPI serves as a cloud-based AI inference platform that offers developers a comprehensive API for integrating various AI models into their applications and workflows. The platform's extensive model catalog encompasses capabilities such as text generation, embeddings, image and video generation, as well as speech synthesis and recognition, covering a broad spectrum of multimodal tasks. Each model page presents detailed information, demonstration of usage, compatibility with APIs, and a pricing structure based on usage; specifically, the text-generation section outlines how to make OpenAI-compatible chat-completion requests via WhollyAPI's serverless API. Targeted at developers and teams focused on creating AI-driven software, the service allows access to diverse model types through a single hosted solution, eliminating the need for users to manage their own inference infrastructure. This flexibility enables a wide array of applications, from generating or modifying text and images to producing videos, processing audio, and enhancing applications with model-driven functionalities. Additionally, the models offered, their functionalities, and associated costs differ based on specific models and their usage patterns. Ultimately, WhollyAPI simplifies the integration of AI technology for developers by providing a one-stop platform for all their model needs.

Experiential serves as a gateway and inference platform powered by AI, designed for developers and organizations engaged in creating AI-driven products or internal solutions. It offers a consolidated API that directs requests to various hosted model providers, accounts supplied by customers, and self-hosted or custom models, including access to OpenAI and Anthropic APIs. Teams are equipped to oversee their API keys, budgets, and usage caps, while also being able to allocate costs to specific keys or agents, track requests, and set up provider routing along with fallback options. The service features both a complimentary plan and subscription-based monthly options, with an open-source version available for self-hosting. For enterprises, additional plans introduce organizational governance and data residency capabilities, and those on paid plans benefit from model optimization tools. Furthermore, enterprise clients have the unique opportunity to commission a model that is specifically trained on their traffic data. Developers can easily link up compatible applications and coding agents by simply adjusting their API endpoints and credentials, thereby enhancing integration flexibility. This comprehensive platform ultimately streamlines the process of implementing AI functionalities within various applications.

SiliconFlow is an advanced AI infrastructure platform tailored for developers, providing a comprehensive and scalable environment for executing, optimizing, and deploying both language and multimodal models. With its impressive speed, minimal latency, and high throughput, it ensures swift and dependable inference across various open-source and commercial models while offering versatile options such as serverless endpoints, dedicated computing resources, or private cloud solutions. The platform boasts a wide array of features, including integrated inference capabilities, fine-tuning pipelines, and guaranteed GPU access, all facilitated through an OpenAI-compatible API that comes equipped with built-in monitoring, observability, and intelligent scaling to optimize costs. For tasks that rely on diffusion, SiliconFlow includes the open-source OneDiff acceleration library, and its BizyAir runtime is designed to efficiently handle scalable multimodal workloads. Built with enterprise-level stability in mind, it incorporates essential features such as BYOC (Bring Your Own Cloud), strong security measures, and real-time performance metrics, making it an ideal choice for organizations looking to harness the power of AI effectively. Furthermore, SiliconFlow's user-friendly interface ensures that developers can easily navigate and leverage its capabilities to enhance their projects.

Peezy Gateway serves as an AI inference gateway designed to provide developers and coding agents with a singular endpoint for accessing cutting-edge open models, eliminating the need for multiple layers of third-party routing. This service is compatible with OpenAI, allowing users to direct existing OpenAI SDKs, command-line agents, and other compatible tools to a unified base URL instead of having to integrate each model provider independently. P0 is in the process of reconstructing the gateway using its own infrastructure, ensuring that open models are delivered directly from its GPU clusters without intermediaries. The anticipated infrastructure will feature B200 and B300 GPU clusters located in private facilities throughout Singapore and China, aiming to establish a quick and direct connection to every model offered. Additionally, the existing p0ag_ API keys and account credits are intended to seamlessly transition during the infrastructure migration, ensuring that current integrations can continue without starting anew when the gateway is relaunched. This not only streamlines the development process but also enhances accessibility for developers in the AI community.

Abliteration.ai serves as an AI platform tailored for developers, granting access to large language models without constraints, all while incorporating a governance layer that empowers teams to dictate model behavior instead of depending on preset limitations from providers. The platform features an API compatible with OpenAI, promoting effortless integration into current tools, SDKs, and processes without necessitating significant infrastructure modifications. Central to Abliteration.ai’s philosophy is the idea of being “unrestricted, not ungoverned,” which allows developers to leverage models with fewer censorships while implementing their own regulatory measures through a Policy Gateway that manages outputs in real-time, enabling actions like allowing, blocking, redacting, or escalating based on tailored policies. These policies are designed as code, facilitating auditing, simulation, and deployment, complemented by capabilities such as shadow testing and rollback measures for added security. Furthermore, Abliteration.ai caters to sophisticated applications, including security assessments, red teaming, synthetic data generation, and research workflows tailored to specific needs, thereby expanding the potential for innovative solutions in various fields. With its comprehensive approach, Abliteration.ai not only enhances the flexibility of AI usage but also ensures that developers maintain control over the ethical implications of their models.

Overmind serves as a comprehensive platform for the training and deployment of AI agents, catering specifically to teams engaged in this field. It processes production traces via OpenTelemetry, generating datasets from various sources including trace data, file uploads, and integrations with Langfuse, LangSmith, Braintrust, and Galileo. Teams have the capability to analyze agent context and performance in real-time, prepare and assess datasets, and test prompts and models against their tailored examples, all while refining agent behavior through evaluated modifications. The platform facilitates both LoRA and complete fine-tuning of open-weight models, offering benchmarking with custom evaluators and deployment through an OpenAI-compatible endpoint; additionally, users have the option to download trained weights. Furthermore, users can opt to engage with the hosted console or deploy the platform within their own infrastructure using Docker Compose. Designed for AI engineering and product teams managing agents in live environments, Overmind empowers users to effectively experiment, enhance, and customize models with their proprietary data for optimized outcomes. This flexibility ensures that teams can adapt their workflows according to their specific needs and preferences.

Incbury is a UK-based independent AI firm that creates its own compact language models, referred to as Atom. The Incbury Chat tool functions as an AI assistant designed for various tasks such as conversation, writing, research, and analysis, while also providing capabilities for web searches, project management, and file handling. Additionally, Incbury Code acts as a coding agent that enhances desktop and terminal workflows, featuring sidebars for popular environments like VS Code and Cursor; it is capable of analyzing codebases, suggesting modifications for review, and executing commands and tests. The Incbury API allows developers to utilize Atom with OpenAI-compatible access, enabling the integration of language-model features within applications, which includes functionalities like streaming and function calling. Users can access Chat through a free plan that imposes daily fair-use limits, while the API and Code services operate on a prepaid credit system. Incbury also shares benchmark results alongside examples that outline the limitations of its models. Its diverse range of products is tailored to meet the needs of individuals, developers, startups, and teams who are looking for chat assistance, coding support, or AI-enhanced applications, making it a versatile choice in the AI landscape.

Tinfoil is a highly secure AI platform designed to ensure privacy by implementing zero-trust and zero-data-retention principles, utilizing open-source or customized models within secure hardware enclaves located in the cloud. This innovative approach offers the same data privacy guarantees typically associated with on-premises systems while also providing the flexibility and scalability of cloud solutions. All user interactions and inference tasks are executed within confidential-computing environments, which means that neither Tinfoil nor its cloud provider have access to or the ability to store your data. Tinfoil facilitates a range of functionalities, including private chat, secure data analysis, user-customized fine-tuning, and an inference API that is compatible with OpenAI. It efficiently handles tasks related to AI agents, private content moderation, and proprietary code models. Moreover, Tinfoil enhances user confidence with features such as public verification of enclave attestation, robust measures for "provable zero data access," and seamless integration with leading open-source models, making it a comprehensive solution for data privacy in AI. Ultimately, Tinfoil positions itself as a trustworthy partner in embracing the power of AI while prioritizing user confidentiality.

Model Studio serves as Alibaba Cloud's comprehensive generative AI platform, empowering developers to create intelligent applications that are attuned to business needs by utilizing top-tier foundation models such as Qwen-Max, Qwen-Plus, Qwen-Turbo, the Qwen-2/3 series, visual-language models like Qwen-VL/Omni, and the video-centric Wan series. With this platform, users can easily tap into these advanced GenAI models through user-friendly OpenAI-compatible APIs or specialized SDKs, eliminating the need for any infrastructure setup. The platform encompasses a complete development workflow, allowing for experimentation with models in a dedicated playground, conducting both real-time and batch inferences, and fine-tuning using methods like SFT or LoRA. After fine-tuning, users can evaluate and compress their models, speed up deployment, and monitor performance—all within a secure, isolated Virtual Private Cloud (VPC) designed for enterprise-level security. Furthermore, one-click Retrieval-Augmented Generation (RAG) makes it easy to customize models by integrating specific business data into their outputs. The intuitive, template-based interfaces simplify prompt engineering and facilitate the design of applications, making the entire process more accessible for developers of varying skill levels. Overall, Model Studio empowers organizations to harness the full potential of generative AI efficiently and securely.

Qwen is a next-generation AI system that brings advanced intelligence to users and developers alike, offering free access to a versatile suite of tools. Its capabilities include Qwen VLo for image generation, Deep Research for multi-step online investigation, and Web Dev for generating full websites from natural language prompts. The “Thinking” engine enhances Qwen’s reasoning and logical clarity, helping it tackle complex technical, analytical, and academic challenges. Qwen’s intelligent Search mode retrieves web information with precision, using contextual understanding and smart filtering. Its multimodal processing allows it to interpret content across text, images, audio, and video, enabling more accurate and comprehensive responses. Qwen Chat makes these features accessible to everyone, while developers can tap into the Qwen API to build apps, integrate Qwen into workflows, or create entirely new AI-driven experiences. The API follows an OpenAI-compatible format, making migration and adoption seamless. With broad platform support—web, Windows, macOS, iOS, and Android—Qwen delivers a unified, powerful AI ecosystem for all kinds of users.

ex5.ai serves as a cloud GPU marketplace and AI compute platform where users can rent on-demand or interruptible GPU instances. It allows users to compare different hardware options and regional deals, launch GPU machines for various tasks such as model development, training, fine-tuning, or inference, all while utilizing a prepaid credit balance with billing calculated per second. Additionally, the platform features an API that is compatible with OpenAI models, a chat workspace accessible through a browser, and capabilities for hosted fine-tuning along with the deployment of private model endpoints. The pricing for GPUs is contingent on factors such as model type, hosting provider, geographical location, and current availability; users can add credits beforehand with a minimum top-up of $5 and there are no subscription fees involved. The web console effectively integrates GPU compute services with AI model functionalities, and the API access facilitates applications that require compatible chat-completion requests, making it a versatile tool for developers and researchers alike. Overall, ex5.ai provides a comprehensive solution for those looking to leverage GPU resources for their AI projects.

Velokey is an AI model access platform that lets developers call text, image, and video models through one reliable API. The platform is designed for teams that want to experiment with, compare, and switch between leading AI models without rebuilding their application integrations. Velokey supports an OpenAI-compatible workflow, so existing SDK users can migrate by updating the base URL, adding a Velokey API key, and choosing a model ID. Developers can access LLMs, image generation models, and video generation models from one account and interface. Supported model families include GPT, Claude, Gemini, DeepSeek, Grok, Kimi, Qwen, MiniMax, GLM, ERNIE, Seedance, Kling, Veo, Wan, PixVerse, GPT Image, Nano Banana, Seedream, and others. Velokey helps teams compare models by capability, context, speed, billing unit, and price before adding them to production workflows. The platform includes smart model routing that can send requests to faster or more stable endpoints when available. Automatic failover helps move failed requests to a healthy fallback route when multiple providers are supported. With one console for request status, token usage, latency, errors, spend, and usage-based metering, Velokey gives developers a simpler way to build across the AI model ecosystem.

Novita AI is a comprehensive cloud platform designed for AI developers, startups, and enterprises that need reliable access to models, agents, and GPU infrastructure. The platform offers serverless access to more than 200 AI models through a unified API, secure sandbox environments for running autonomous agents, and dedicated or serverless GPU resources for inference, training, and deployment workloads. Built specifically for AI applications, Novita AI provides production-grade reliability, predictable performance, and seamless scalability without the operational burden of managing complex infrastructure. Developers can build, test, and deploy AI-powered products while benefiting from centralized management, flexible pricing, and enterprise-ready support.

TensorBlock is an innovative open-source AI infrastructure platform aimed at making large language models accessible to everyone through two interrelated components. Its primary product, Forge, serves as a self-hosted API gateway that prioritizes privacy while consolidating connections to various LLM providers into a single endpoint compatible with OpenAI, incorporating features like encrypted key management, adaptive model routing, usage analytics, and cost-efficient orchestration. In tandem with Forge, TensorBlock Studio provides a streamlined, developer-friendly workspace for interacting with multiple LLMs, offering a plugin-based user interface, customizable prompt workflows, real-time chat history, and integrated natural language APIs that facilitate prompt engineering and model evaluations. Designed with a modular and scalable framework, TensorBlock is driven by ideals of transparency, interoperability, and equity, empowering organizations to explore, deploy, and oversee AI agents while maintaining comprehensive control and reducing infrastructure burdens. This dual approach ensures that users can effectively leverage AI capabilities without being hindered by technical complexities or excessive costs.

Grokified serves as a cloud-hosted API gateway compatible with OpenAI, allowing users to access Grok models via a unified API endpoint. This platform is designed for developers and AI engineers, facilitating chat interactions and coding tasks, along with handling requests related to images, videos, voice, and various tools. Among its features are API key management, model selection, streaming capabilities, function calling, and tools for tracking usage and costs, alongside management of prepaid balances. Users of OpenAI SDK clients and aligned editors can easily connect by setting up the Grokified base URL and their credentials, while a supplementary command-line interface is available for configuring supported agents. Each request utilizes credits from prepaid accounts, with usage rates that are more affordable than standard pricing, making it an efficient choice for developers. Additionally, Grokified continues to evolve, with ongoing updates that enhance its functionality and integration options.

Cohere is a robust enterprise AI platform that empowers developers and organizations to create advanced applications leveraging language technologies. With a focus on large language models (LLMs), Cohere offers innovative solutions for tasks such as text generation, summarization, and semantic search capabilities. The platform features the Command family designed for superior performance in language tasks, alongside Aya Expanse, which supports multilingual functionalities across 23 different languages. Emphasizing security and adaptability, Cohere facilitates deployment options that span major cloud providers, private cloud infrastructures, or on-premises configurations to cater to a wide array of enterprise requirements. The company partners with influential industry players like Oracle and Salesforce, striving to weave generative AI into business applications, thus enhancing automation processes and customer interactions. Furthermore, Cohere For AI, its dedicated research lab, is committed to pushing the boundaries of machine learning via open-source initiatives and fostering a collaborative global research ecosystem. This commitment to innovation not only strengthens their technology but also contributes to the broader AI landscape.

GHOSTMETAL offers a web-based AI chat platform along with an API designed for applications that utilize language and image processing models. The platform features the GLM-5.3 model, which provides a 256K context window, the GLM-5.3-long model with a 1M context window, and the Qwen-3.8 model, which includes integrated web search capabilities as well as tools for image creation and editing. Additionally, its OpenAI-compatible REST API supports real-time data streaming and is compatible with various clients, including Cursor, Cline, Continue, SillyTavern, Agnai, LangChain, and OpenAI SDKs. This service caters to both individuals and developers who leverage AI technologies for tasks related to software development, writing, and creative processes. Users have the option to pay with prepaid credits or subscribe to monthly plans, while also having the capability to manage distinct API tokens for different applications. GHOSTMETAL operates its services on proprietary hardware; prompts and responses are handled in memory, ensuring that chat histories and images are securely stored within the user's browser environment. This design emphasizes user privacy and data security, making GHOSTMETAL a compelling choice for those in need of robust AI solutions.

amazee.ai is a sovereign AI platform designed to solve the enterprise "Shadow AI" crisis by providing a secure, sanctioned alternative to public AI services. Built for data sovereignty, the platform isolates AI workloads in private, regional containers, guaranteeing that neither prompts nor outputs are ever logged or retained by third-party providers. This architecture provides a robust Enterprise Trust Layer for organizations in regulated sectors like healthcare and finance. The flagship Private AI Assistant allows teams to safely ingest and analyze unstructured internal data, from PDFs and spreadsheets to support tickets, to generate instant summaries, reports, and automated workflows. Key technical differentiators include: - Zero-Retention API Gateway: A secure interface for interacting with high-performance LLMs without data exposure. - Regional Residency: Precise control over data processing locations (CH, EU, US, AU) to satisfy local compliance mandates. - Model Agnosticism: Freedom to swap between proprietary and open-weights models (Mistral, Llama) without architectural friction. - Audit-Ready Logging: Built-in Role-Based Access Control (RBAC) and comprehensive logs for regulatory oversight. amazee.ai enables businesses to bridge the gap between modern generative AI and the non-negotiable requirements of today's strict data privacy laws.

HostAiHub provides a managed hosting solution for private instances of platforms like OpenClaw, Hermes, and n8n. Users can choose an agent or workflow platform and deploy it within a secure, isolated container that comes with its own storage and an SSL-encrypted subdomain, eliminating the need for server configuration. A user-friendly browser dashboard allows for easy control of instances, while the service takes care of tasks such as provisioning, updates, monitoring, and regular backups. Customers have the flexibility to integrate their own model-provider keys, with options available from popular services like Anthropic, OpenAI, OpenRouter, DeepSeek, and Gemini; usage fees for the models are charged separately by the respective providers. Additionally, HostAiHub features an API service that is compatible with OpenAI. Various hosting plans are offered, including monthly, annual, and lifetime options, with pricing differing based on the chosen platform and plan. This service is tailored for entrepreneurs, developers, agencies, and small teams looking to run perpetual AI agents or automated workflows without the hassle of managing hosting infrastructure, making it an ideal choice for those seeking efficiency and simplicity in their operations.

APMix serves as an AI API gateway tailored for developers seeking seamless access to various language model providers under a single account, API key, and unified billing structure. It features a diverse catalog of models from different suppliers, with the specific options available being dependent on the chosen plan. The platform supports OpenAI-compatible Chat Completions and Responses endpoints, along with an Anthropic-compatible Messages endpoint, enabling applications and coding agents to connect by simply adjusting the base URL and API key. Users have the ability to generate keys, choose models, monitor their usage, and distribute shared monthly weighted-token allowances across the different models. Comprehensive setup guides are provided for various clients, such as Claude Code, Codex CLI, Cursor, OpenCode, and Kilo Code, along with additional tools and SDKs listed for convenience. APMix is specifically crafted for software developers and teams engaged in developing or managing applications and agent workflows that leverage hosted generative AI models, making it a valuable asset in the growing field of AI-driven software development. The platform aims to simplify integration and enhance efficiency in utilizing cutting-edge language models.

ModelLane serves as an intelligent inference gateway and routing control plane designed for developers and organizations that utilize various language model providers. It features an API compatible with OpenAI, enabling users to send requests to models that are either hosted, private, or self-hosted. Teams have the flexibility to create routing policies, referred to as “Lanes,” based on factors like cost, latency, availability, data retention, and geographical region, while also incorporating failover mechanisms, retry options, credential isolation, and detailed visibility into usage and expenses at the route level. The platform supports a variety of documented connectors, including those for OpenAI, Anthropic, Google, Mistral, Groq, and DeepSeek, along with local serving tools such as Ollama and vLLM. Furthermore, it provides an MCP interface that facilitates operations at the model layer. This system has multiple use cases, such as streamlining provider APIs, selecting optimal routes for diverse workloads, ensuring service continuity if a provider becomes unavailable, and overseeing inference activities effectively. Deployment choices are versatile, including options for hosted services, dedicated deployments, or integration within a customer’s VPC, allowing for tailored solutions to fit organizational needs. Ultimately, ModelLane enhances the efficiency and effectiveness of using multiple AI language models across various applications.

Google AI Edge presents an extensive range of tools and frameworks aimed at simplifying the integration of artificial intelligence into mobile, web, and embedded applications. By facilitating on-device processing, it minimizes latency, supports offline capabilities, and keeps data secure and local. Its cross-platform compatibility ensures that the same AI model can operate smoothly across various embedded systems. Additionally, it boasts multi-framework support, accommodating models developed in JAX, Keras, PyTorch, and TensorFlow. Essential features include low-code APIs through MediaPipe for standard AI tasks, which enable rapid incorporation of generative AI, as well as functionalities for vision, text, and audio processing. Users can visualize their model's evolution through conversion and quantification processes, while also overlaying results to diagnose performance issues. The platform encourages exploration, debugging, and comparison of models in a visual format, allowing for easier identification of critical hotspots. Furthermore, it enables users to view both comparative and numerical performance metrics, enhancing the debugging process and improving overall model optimization. This powerful combination of features positions Google AI Edge as a pivotal resource for developers aiming to leverage AI in their applications.

CheapTokens offers a pay-as-you-go API service tailored for developers who are creating AI agents, coding workflows, and applications utilizing open-weight language models. The platform features a model catalog that highlights various families, including DeepSeek, GLM, and MiniMax. It supplies API endpoints that are compatible with both OpenAI and Anthropic, allowing developers to utilize existing tools seamlessly. By using a CheapTokens API key, a base URL, and a model ID, developers can easily connect to the supported resources. The billing operates from a prepaid USD balance, charging separate rates for input and output tokens, and eliminates the need for a monthly subscription. Pricing is transparently outlined per million tokens used. Additionally, the website offers comprehensive API documentation, practical request examples, and detailed integration guides for various coding assistants and agent tools, ensuring developers have the resources they need for effective implementation. This combination of accessible pricing and robust support makes CheapTokens an appealing choice for many in the developer community.

Xinity is a flexible open-source software for LLM inference that is compatible with OpenAI, allowing European businesses to deploy generative AI completely on their own infrastructure. The platform can be set up on current hardware and provides an API that aligns with OpenAI's standards, facilitating the transition of existing applications with just a simple alteration to the base URL. This approach eliminates reliance on cloud services, prevents data egress, and protects against the implications of the US CLOUD Act. The foundational engine is available as open source under the Apache 2.0 license and accommodates open-weight models, including those from European sovereign sources, while offering features such as automatic model routing, comprehensive audit trails for every inference request, role-based access control, and support for multi-node orchestration. Developed in Vienna, Austria, Xinity caters specifically to regulated sectors such as finance, healthcare, legal, public administration, and media, ensuring compatibility with fully air-gapped environments. Furthermore, it is meticulously designed to comply with GDPR and the EU AI Act, reinforcing its commitment to data privacy and regulatory adherence. This makes Xinity an ideal solution for organizations seeking to harness the power of generative AI while maintaining stringent control over their data and infrastructure.

The Agents API enables developers to create and operate cloud agents utilizing the same framework and infrastructure that supports Codex, all under the management of OpenAI. By making a simple API request, users can establish a fully operational agent by defining the specific task, model, tools, and environment, with OpenAI overseeing the agent's infrastructure. Developers have the flexibility to select where their agents are deployed: whether in an OpenAI-managed sandbox, on personal servers, or via authorized sandbox partners. The OpenAI-managed sandboxes offer secure environments for agents to execute code, interact with files, utilize packages, skills, and plugins, and generate outputs. Designed for tasks that require extended operation, the API features automatic context compaction to retain pertinent information across multiple context windows within sessions. Additionally, the tool search function efficiently loads relevant definitions only as needed, while programmatic tool invocation allows agents to execute calls simultaneously, chain related tasks, and filter or merge results seamlessly in code. This comprehensive approach not only enhances efficiency but also empowers developers to create more sophisticated applications.

BetterToken serves as a hosted API gateway for language models, enabling access to a variety of providers such as Anthropic, OpenAI, Moonshot, Z.ai, DeepSeek, Alibaba Cloud, and MiniMax through unique account keys. It features endpoints that are compatible with both OpenAI and Anthropic models, along with a Responses-compatible configuration for Codex, allowing developers to seamlessly link coding tools, applications, agents, and automation workflows via a personalized base URL. Users can explore a dynamic model catalog, monitor their token consumption and associated fees within the workspace, and make payments through either a prepaid balance or monthly subscription plans. The costs associated with different models depend on the input, output, and whether cached or media tokens are utilized. Comprehensive setup guides are available for tools such as Claude Code, Codex, Cursor, Dify, and n8n. Ultimately, BetterToken is designed to assist developers and teams in incorporating hosted language models into their software solutions and automated processes efficiently. With its user-friendly interface and variety of features, BetterToken aims to simplify the integration of advanced language technologies into everyday applications.

RunInfra effortlessly transforms natural language into fully operational AI inference endpoints. By simply describing your requirements, the AI agent autonomously constructs, refines, deploys, and scales your project without the need for YAML configurations, DevOps expertise, or GPU setup—just a conversation. Designed specifically for delivering open-source AI models as production-ready APIs, it intelligently chooses suitable models, benchmarks actual GPU performance, implements kernel enhancements, and establishes HTTP endpoints compatible with OpenAI. RunInfra is capable of creating diverse applications including language models, speech recognition, text-to-speech, embeddings, vision-language tasks, image generation, retrieval-augmented generation (RAG) searches, document analysis, transcription services, AI assistants, and complex multi-model reasoning frameworks, contingent on the runtime and model capabilities. Its streamlined workflow progresses seamlessly from your initial description to optimization, deployment, and integration; simply inform RunInfra of your needs, and it will evaluate real GPU options from L4 to B200, explore model variants like AWQ, GPTQ, and FP8, fine-tune kernels using Forge, and deliver a fully functional endpoint compatible with OpenAI’s Python and JavaScript SDKs. The efficiency and simplicity of RunInfra make it a valuable asset for developers aiming to leverage advanced AI technologies without the typical complexities involved.

Open WebUI is a robust, user-friendly, and customizable AI platform that is self-hosted and capable of functioning entirely without an internet connection. It is compatible with various LLM runners, such as Ollama, alongside APIs that align with OpenAI standards, and features an integrated inference engine that supports Retrieval Augmented Generation (RAG), positioning it as a formidable choice for AI deployment. Notable aspects include an easy installation process through Docker or Kubernetes, smooth integration with OpenAI-compatible APIs, detailed permissions, and user group management to bolster security, as well as a design that adapts well to different devices and comprehensive support for Markdown and LaTeX. Furthermore, Open WebUI presents a Progressive Web App (PWA) option for mobile usage, granting users offline access and an experience akin to native applications. The platform also incorporates a Model Builder, empowering users to develop tailored models from base Ollama models directly within the system. With a community of over 156,000 users, Open WebUI serves as a flexible and secure solution for the deployment and administration of AI models, making it an excellent choice for both individuals and organizations seeking offline capabilities. Its continuous updates and feature enhancements only add to its appeal in the ever-evolving landscape of AI technology.

ApiHub serves as an online marketplace and API access platform tailored for developers, product teams, startups, and organizations engaged in creating applications and AI workflows. Users can explore a diverse catalog of AI models and API services, enabling them to compare different provider offers and their associated usage costs before accessing the chosen services through a unified API account. For those AI models that are supported, ApiHub offers an endpoint compatible with OpenAI, along with project keys, spending caps, and tools for tracking usage; its MCP connection further enhances compatibility with agent and coding clients, allowing the utilization of available resources. Costs incurred are based on usage and are billed in Russian rubles, with pricing differing depending on the specific model or service utilized. Additionally, the platform provides detailed documentation to assist API providers in preparing and listing their services for potential buyers in the marketplace, ensuring a smooth integration process. This comprehensive approach fosters an environment where innovation can thrive, making it easier for developers to connect with the tools they need.

Tokenhot serves as a unified LLM API gateway compatible with OpenAI, allowing developers to effortlessly access over 100 AI models from more than 30 providers via a single endpoint. Reasons for Choosing Tokenhot Seamless Migration: The service is fully aligned with OpenAI SDKs, requiring no code alterations for developers. Extensive Model Variety: With access to a diverse range of models from lightweight Haiku to sophisticated O3 and Claude Opus, users also benefit from exclusive early access to the Seedance 2.0 API. Significant Cost Efficiency: With intelligent routing and aggregated purchasing, Tokenhot optimizes for the best price-performance ratio, resulting in savings of up to 90%. Comprehensive Multi-Modal Capabilities: The platform supports various functions including text, vision, video generation, and TTS, all accessible through a single API. No KYC Requirement, Instant Activation: Users can obtain their API key without any identity verification, enabling them to go live within seconds. Dependable for Enterprises: Tokenhot ensures enterprise-grade reliability through multi-channel redundancy and automatic failover, along with dedicated lines for handling high-concurrency workloads, making it a robust choice for businesses.

Boldrouter serves as a hosted AI gateway tailored for developers and teams engaged in creating applications utilizing large language models. It offers an OpenAI-compatible API along with a consolidated endpoint that efficiently routes requests among various model providers, intelligently selecting and switching based on criteria such as cost, response time, or provider reliability. Teams have the flexibility to utilize prepaid credits or link their own provider keys, while also having the capability to oversee API keys, set spending limits, and analyze token, model, and latency metrics through an intuitive dashboard. This platform additionally features capabilities like streaming, tool invocation, multimodal requests, embeddings, document text extraction, model consensus and evaluation, and an optional prompt anonymization function that ensures personal data is removed before requests are sent. Supporting a wide range of workflows, the Swiss-hosted service is ideal for applications, SaaS solutions, agents, and developer tools requiring access to diverse AI models. Furthermore, its robust infrastructure promotes seamless integration with existing systems, making it a versatile choice for modern application development.

OmniaKey serves as a comprehensive AI API gateway designed for developers and teams engaged in creating applications, coding agents, and managing media workflows. By utilizing a single account alongside a prepaid balance, users can gain access to an array of language, image, video, and music models sourced from a variety of providers. In terms of chat functionalities, clients are afforded the option to use API surfaces that are compatible with OpenAI, native to Anthropic, or based on Gemini; media generation operates through asynchronous tasks that require submission and result polling. The platform also features model discovery, detailed API documentation, management of keys and usage, and setup instructions for various tools including Claude Code, Cursor, Codex CLI, Cline, and aider, in addition to SDK clients that are compatible with OpenAI. An interactive browser-based Studio is available, which includes generators for text, image, video, and audio. The cost of usage is model-dependent and charges are applied based on billing units, deducted from the prepaid balance without the need for a monthly subscription. By streamlining access to various AI models through a single account, OmniaKey facilitates efficient software and agent workflows. This allows teams to focus on building innovative solutions without the complexity of managing multiple accounts.

NeevCloud is a full-stack, AI-native SuperCloud engineered for every stage of the AI lifecycle: training, fine-tuning, inference, and production deployment. GPU AI Services provide instant access to NVIDIA H100, B200, and GB200 NVL72 clusters with no waiting lists. The Model API offers pay-per-token access to open models including Llama 3, Mixtral, Qwen, Stable Diffusion, and more, covering chat, coding, image generation, vision, audio, embeddings, and moderation tasks. The API is OpenAI-compatible, so teams can migrate existing code with minimal changes. Agentic Studio lets developers build, test, govern, observe, and ship AI agents from a single workspace. Developer Studio adds MCP connectors, CLI, and SDK access for deep platform integration. The IaaS layer includes Cloud Servers, Snapshots, Load Balancers, and Orchestration, all Kubernetes-native. NeevCloud builds and controls every layer of its infrastructure: GPU superclusters, orchestration software, and the AI application layer. This full-stack ownership eliminates dependency on third-party hyperscalers and delivers strong price-to-performance with zero egress fees, no lock-in, and no hidden charges. On-Demand and Reserved compute options are available, with Reserved delivering meaningful savings for sustained workloads. S3-compatible object storage for datasets, checkpoints, and model outputs is available through Zata.ai, completing a sovereign AI stack from physical rack to cloud to storage.Whether you are scaling your first model or running enterprise-grade AI systems, NeevCloud provides the performance, control, and transparency to build and scale fearlessly. The platform serves AI startups, ML engineers, data scientists, BFSI and healthcare enterprises, government programs, and research institution

DockClaw serves as a managed hosting solution for OpenClaw, facilitating the rapid deployment and operation of autonomous AI agents in mere seconds, all without the complexities of server management, Docker, or DevOps configurations. This platform empowers users to effortlessly launch AI-driven agents capable of integrating with various messaging services like Telegram and other communication avenues, enabling them to function continuously for automating workflows, interacting with users, and performing various tasks. With one-click deployment options available on dedicated virtual machines or isolated containers, DockClaw guarantees 24/7 uptime, persistent storage, and health monitoring, ensuring that agents stay consistently operational and reliable. Users benefit from the flexibility of selecting from a range of AI models, such as Claude, GPT, Gemini, Llama, and other systems compatible with OpenAI, with the ability to switch models easily without any vendor lock-in. Furthermore, DockClaw incorporates native configuration tools that allow for the fine-tuning of agent behavior, memory management, and system prompts, while also ensuring secure API key management through encrypted environments and a zero-knowledge architecture. This comprehensive approach not only enhances user experience but also fosters a versatile environment for AI development and deployment.

Scalattice serves as a managed inference API and a distributed GPU network, catering to developers utilizing open models as well as GPU owners who offer computational power. Developers can make chat-completion and image-generation requests using endpoints that are compatible with OpenAI, while also selecting models from a catalog and managing aspects like API keys, credits, usage, model access, and regional policies via Scalattice Cloud or its command-line interface. The requests are processed on the machines of GPU providers, who are compensated based on tracked usage through the service. GPU providers are required to install the Scalattice agent on compatible machines running Windows, Linux, or Apple Silicon macOS, allowing them to set their availability and oversee job progress and earnings. This service is designed for a diverse audience, including application developers, AI innovators, and GPU operators looking to access hosted inference capabilities or to contribute their computational resources. Additionally, the availability of models and their pricing is determined by the existing catalog and the capacity that is currently available for use. Scalattice ultimately aims to bridge the gap between developers and GPU providers, enhancing the efficiency of AI model deployment.