AI Infrastructure 21

Unified API for 100+ top AI models with high performance and price-performance. APIPod is an enterprise-grade AI API aggregation platform that provides unified access to over 100 top AI models, including Large Language Models (LLMs), image, video, and audio generation models, through a single API. It offers high-performance features such as 99.99% uptime, 24ms global latency, intelligent multi-channel routing, automatic fault tolerance with circuit breaker protection, and comprehensive observability. APIPod aims to be more price-performance efficient than competitors like Replicate and Fal.ai, offering flexible pay-as-you-go pricing and a developer-first approach with full OpenAI SDK compatibility.
Build AI Agents with confidence: Platform for building, deploying, and managing AI agents. Vivgrid is an AI agent infrastructure platform that helps developers and startups build, deploy, and manage AI agents with observability, evaluation, and safety guardrails. It provides a confident path from prototype to production for AI agents by offering tools for AI observability, debugging, evaluation, testing, and deployment, complemented by a globally distributed inference infrastructure designed for low latency and reliable scale. Vivgrid aims to help users master the right mental model to ship resilient AI systems.
A unified, full-modal AI inference and model infrastructure platform for developers and creators. Atlas Cloud is marketed as the world's first full-modal inference platform, providing developers and creators with a unified API to run AI across every modality—chat, reasoning, image, audio, and video. It serves as a comprehensive, one-stop platform to discover, test, and scale AI inference by offering access to a massive library of 300+ production-ready models from leading providers (including OpenAI, Google, and ByteDance). Furthermore, Atlas Cloud delivers industry-leading AI model infrastructure, high-performance deployment, training, and application support, focusing on enterprise-grade stability and efficiency while offering highly competitive, low pricing.
Anyscale is an AI application platform for building, running, and scaling AI applications. Anyscale is the leading AI application platform that allows developers to build, run, and scale AI applications instantly. It leverages Ray, a distributed computing framework, to optimize performance and lower costs for AI workloads. Anyscale offers tools for compute governance, developer tooling, and supports any cloud, accelerator, and stack.
Unified API for top AI video models with 50% lower costs. aivideoapi is a unified AI video API platform that allows developers and businesses to access multiple top-tier video generation models through a single API key. It aggregates models like Google DeepMind's Veo 3.1, OpenAI's Sora 2, Kuaishou's Kling 3.0, ByteDance's Seedance 2.0, and Alibaba's WAN 2.6. The platform focuses on providing a stable, enterprise-grade infrastructure with significant cost savings—up to 50% cheaper than official provider pricing. It features a pay-as-you-go credit system, 99.9% uptime, and developer-friendly tools like webhooks and async task processing.
Intelligent LLM router and interaction layer for cost-effective AI task management. Toto is an intelligent routing layer and interaction platform designed for the human-agent world model. It optimizes LLM usage by automatically directing tasks to the most cost-effective and capable models from major vendors like OpenAI, Anthropic, and Google. Beyond cost optimization, Toto serves as a bidirectional state management layer where humans and AI agents can interact in a shared, real-time environment. It helps businesses avoid wasting money on expensive 'top-tier' models for simple tasks by scoring model capability against specific needs, ensuring the right model is used for the right prompt.
Varo Cloud: The Generative AI Cloud for Creators. Access, test, and build with 500+ leading image, video, audio, and language models through one cloud platform, one API, and one balance. Varo.cloud is a unified generative AI platform built for creators, developers, and growing teams. Discover and test leading models from providers like ByteDance, Google, MiniMax, Kling, OpenAI, and more, then move from Playground to production through one simple API. With unified billing, usage-based pricing, and no infrastructure to manage, Varo makes it easier and more cost-efficient to create and scale AI-powered products. 1. 500+ Models. One Cloud: Access curated image, video, audio, and language models from leading providers without juggling separate accounts, API keys, or bills. Switch models through the same API workflow. 2. Built to Make AI More Affordable: Varo is designed as a cost-efficient AI model cloud for creators and small businesses, with usage-based pricing and select workloads offering up to 10× lower generation costs. 3. From Playground to Production: Test models in the browser, compare outputs, generate ready-to-use code, and ship through the same unified API—without managing model hosting or infrastructure.
APIXO is a performance-first AI API platform that unifies access to image, video, audio, and text models through a single developer-friendly API. Instead of integrating each provider separately, teams can use one API surface to experiment with multiple models, switch providers quickly, monitor usage, manage API keys, and control costs. APIXO is designed for production use, with routing flexibility, automatic failover, transparent pay-as-you-use pricing, per-project key controls, usage analytics, and support for modern async workflows such as task polling and webhooks. It is especially useful for startups, AI products, agencies, and SaaS teams that need multimodal AI infrastructure without the operational complexity of managing fragmented vendor stacks. Discover why developers are moving to unified AI API platforms like APIXO to access image, video, audio, and text models with lower costs, better reliability, transparent pricing, and simpler integrations.APIXO helps developers build AI products faster by replacing fragmented provider integrations with one unified API layer. Teams can generate images, videos, music, audio, and text with a consistent workflow, while using flexible routing strategies to optimize for price or reliability. The platform includes API key management, project isolation, rate limits, IP allowlists, usage analytics, billing visibility, async task handling, and webhook support. APIXO is built for teams that want production-ready AI infrastructure, not just model access.
Enterprise AI infrastructure for high-performance RAG pipelines and autonomous agentic systems. Krira Labs provides enterprise-grade AI infrastructure designed for scale and performance. Their flagship product, Krira Augment, is a production-ready integration layer for RAG (Retrieval-Augmented Generation) pipelines and agentic systems. A standout component is the Krira Chunker, a Rust-core tool with Python bindings that is 40x faster than LangChain's chunker, offering O(1) memory usage that remains flat at any scale. The platform supports end-to-end ingestion engines, specialized model fine-tuning using low-rank adaptation (LoRA), and autonomous multi-agent architectures with first-class support for the Model Context Protocol (MCP).
Unified API to route, manage, and analyze LLM requests. LLM Gateway is a platform that allows users to route, manage, and analyze their Large Language Model (LLM) requests across multiple providers using a unified API interface. It is fully open source and compatible with the OpenAI API format for seamless integration.
Unified API gateway for 200+ AI models with smart routing and unified billing. RouterBase is a unified AI model gateway that provides access to over 200 frontier AI models from top labs like OpenAI, Anthropic, Google, and Meta through a single, OpenAI-compatible API. It simplifies the development process by offering smart routing, automatic fallback, and unified billing. This allows developers to switch between models for text, image, and video generation without rewriting code or managing multiple provider accounts. The platform includes features like usage analytics, region-locking for compliance, and support for major SDKs such as Python, Node.js, and Go.
Multi-instance management platform for deploying and scaling isolated OpenClaw AI agents. Donely is a multi-instance management platform designed for hosting and scaling OpenClaw AI agents, which it refers to as 'AI employees.' It provides a unified dashboard that allows users to deploy, monitor, and manage dozens of isolated AI instances without needing DevOps skills like SSH or Docker. Each instance runs in an isolated container for security and can be connected to over 950 third-party applications including Gmail, Slack, and HubSpot. Donely is built for scale, offering per-instance access control, unified billing, and volume discounts for agencies and enterprises. It also features a unique AI repair tool that automatically fixes instances if they break.
European GPU cloud platform delivering high-performance, sovereign, and energy-efficient infrastructure for AI training, inference, and HPC. Sesterce Cloud is a European AI cloud platform offering sovereign, scalable, and energy-efficient GPU infrastructure for training, inference, and HPC workloads. Users can deploy compute in seconds using on-demand or reserved instances, with support for the latest NVIDIA GPUs, including H100, H200, A100, L40S, and B200. Powered by the in-house Sesterce OS, the platform supports Kubernetes and Slurm orchestration for advanced AI workload management. GDPR-ready and optimized for sustainability (PUE 1.1), Sesterce Cloud is built for startups, enterprises, and institutions driving innovation in AI.
World's first Multi-Agent OS for autonomous AI workflows and persistent memory. SyntrofAI is the world's first Multi-Agent Operating System, a cutting-edge platform where AI agents decide their own workflows, coordinate across intelligent teams, and accumulate memory that persists forever. It unifies every capability into one system that learns and evolves with every interaction, offering transparency, controllability, and infinite extensibility. SyntrofAI provides the foundational infrastructure to make artificial intelligence truly autonomous, facilitating seamless collaboration and innovation in AI technology.
All-in-one LLM App Platform for building, deploying, and optimizing Generative AI apps. Klu is an all-in-one LLM App Platform designed to help AI Engineers and teams build, deploy, and optimize Generative AI applications. It provides tools for collaborative prompt engineering, automatic evaluation of prompt and model changes, 1-click fine-tuning of models, and seamless integration with various data sources (databases, files, sites) and best-in-class LLMs (Claude, GPT-4, Llama 2, Mistral, Cohere, etc.). Klu aims to enable rapid iteration, understand user preferences, and curate data for custom models, ultimately helping businesses create unique AI experiences and competitive moats.
Serverless platform for AI and data teams to run compute at scale. Modal is a serverless platform designed for AI and data teams, providing high-performance AI infrastructure. It allows users to bring their own code and run CPU, GPU, and data-intensive compute at scale. Modal offers instant autoscaling for ML inference, data jobs, and more, with sub-second container starts and zero config files.
Infrastructure for autonomous agents, orchestrating agents across web3, DeFAI, and web2. OpenServ is an applied AI Research Lab building the infrastructure for Autonomous Agents. It offers a multi-agent infrastructure for orchestrating any agent from any framework on any chain. Their platform combines proprietary AI frameworks and protocols with user simplicity, allowing users to automate complex tasks across web3, DeFAI, and web2.
Portkey: AI control panel for observing, governing, and optimizing AI apps with AI Gateway and Observability Suite. Portkey empowers AI teams to observe, govern, and optimize their apps across the entire organization with just 3 lines of code. It offers an AI Gateway, Prompts, Guardrails, & Observability Suite, helping teams ship reliable, cost-efficient, and fast apps. Portkey integrates with Langchain, CrewAI, Autogen, and other major agent frameworks, making agent workflows production-ready. It also provides an MCP client to build AI agents with access to real-world tools.
Cloud platform for building, tuning, and running AI models on NVIDIA GPUs. Nebius is a cloud platform designed for AI explorers, offering efficient tools to build, tune, and run AI models and applications on NVIDIA GPUs. It provides a flexible architecture, tested performance, and long-term value by optimizing every layer of the stack. Nebius also features AI Studio, a comprehensive platform for fine-tuning AI models at scale, and the AI Discovery Award for startups in drug discovery and healthtech.
Data infrastructure capturing real AI agent workflows for training and monetization. Forsy is a data infrastructure platform designed to capture real-time workflow data directly from the AI agents you already use, such as OpenClaw, Claude, Codex, and Hermes. It converts this raw operational activity into sellable, structured datasets. By establishing a marketplace with built-in licensing and privacy controls, Forsy allows organizations to discover, license, and trade authentic, high-fidelity workflow data. This data serves as infrastructure and foundational training material for Reinforcement Learning (RL) and the development of more capable, reliable future AI agents.
MLOps platform for GenAI project deployment and management. ClearGPT is the only secure enterprise-grade platform offering state-of-the-art LLMs tailored to your data. ClearGPT is designed for enterprises seeking a secure and customizable solution for using generative AI while preserving your IP. ClearML is an MLOps platform that streamlines the launch of GenAI apps with flexibility for developers to launch LLMs on top of an infrastructure control plane that manages compute access, usage and performance monitoring, and security.