[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"$fD95647zpMPspJL7xZQpdudW9GEawHmHGgePLb3chVmU":3,"tool-crusoe-cloud":16},{"siteName":4,"siteDescription":5,"siteUrl":6,"contactEmail":7,"socialLinks":8,"analyticsCode":10,"seo":11},"AllAI App","Call 500+ AI models through one compliant API KEY. Discover 35,000+ AI tools across 21 categories. Compare, test all ai app in one platform.","https:\u002F\u002Fallaiapp.com","contact@allaiapp.com",{"twitter":9,"github":9,"discord":9,"linkedin":9,"youtube":9},"","\u003C!-- Google tag (gtag.js) -->\n\u003Cscript async src=\"https:\u002F\u002Fwww.googletagmanager.com\u002Fgtag\u002Fjs?id=G-3NJE4SY4LE\">\u003C\u002Fscript>\n\u003Cscript>\n  window.dataLayer = window.dataLayer || [];\n  function gtag(){dataLayer.push(arguments);}\n  gtag('js', new Date());\n\n  gtag('config', 'G-3NJE4SY4LE');\n\u003C\u002Fscript>\n\u003C!-- Baidu Tongji (hm.js) -->\n\u003Cscript>\nvar _hmt = _hmt || [];\n(function() {\n  var hm = document.createElement(\"script\");\n  hm.src = \"https:\u002F\u002Fhm.baidu.com\u002Fhm.js?ee51358c8d4491dea1125cfc1d47a169\";\n  var s = document.getElementsByTagName(\"script\")[0];\n  s.parentNode.insertBefore(hm, s);\n})();\n\u003C\u002Fscript>",{"titleTemplate":12,"metaKeywords":13,"ogImage":14,"twitterSite":9,"defaultRobots":15,"googleVerify":9,"bingVerify":9,"baiduVerify":9,"organizationLogo":14},"%s | AllAI App","AI KEY,AI API KEY,Deepseek Key,Chatgpt Key,OpenAi Key,AI tools, AI directory, AI API gateway, AI models, artificial intelligence,","https:\u002F\u002Fallaiapp.com\u002Fog-image.png","index, follow",{"tool":17,"related":200},{"slug":18,"name":19,"cnName":9,"cn_name":9,"url":20,"pricingUrl":20,"github":9,"logo":21,"category":22,"subcategory":9,"categories":23,"pricing":24,"priceFrom":25,"accent":26,"platforms":27,"inputs":29,"outputs":31,"languages":32,"tags":35,"capabilities":39,"rating":25,"votes":25,"reviewCount":25,"saves":25,"monthlyVisits":40,"foundedYear":25,"founded":9,"developer":9,"status":41,"editorPick":42,"featured":42,"verified":42,"screenshots":43,"screenshot":44,"videoUrl":49,"downloadLinks":50,"commentsCount":25,"createdAt":51,"source":52,"addedAt":53,"lastUpdated":53,"updatedAt":53,"en":54,"zh":120,"socialLinks":186,"siteHealth":192},"crusoe-cloud","Crusoe Cloud","https:\u002F\u002Fcrusoe.ai","https:\u002F\u002Fimage.moge.ai\u002Ffavicon\u002Fcrusoe-cloud.png","code",[22],"paid",0,"#6366F1",[28],"Web",[30],"Text",[30],[33,34],"English","中文",[36,37,38],"ai-developer-tools","large-language-models-llms","ai-agent-development",[],364014,"active",false,[44,45,46,47,48],"https:\u002F\u002Fimage.moge.ai\u002Fscreen\u002Fcrusoe-cloud.jpg","https:\u002F\u002Fcdn.prod.website-files.com\u002F6855c1aa175582ee23e0aa19\u002F68e56afb7fd29e836c07c81b_og-crusoe-home.png","https:\u002F\u002Fcdn.prod.website-files.com\u002F6863cc86499b79ce3ab28f8b\u002F6874d591820df6206c47da6c_Screen_Shot_2021-11-09_at_1.52.20_PM.avif","https:\u002F\u002Fcdn.prod.website-files.com\u002F6863cc86499b79ce3ab28f8b\u002F6874cfcf6a3c8b52a4f447c3_Screenshot_2024-11-04_at_9.58.00_AM.avif","https:\u002F\u002Fcdn.prod.website-files.com\u002F6863cc86499b79ce3ab28f8b\u002F6874cfceb3064782adab38be_Screenshot_2024-08-16_at_12.32.27_PM.avif","https:\u002F\u002Fmedia.ffycdn.net\u002Fus\u002Fcrusoe\u002F5ThJ72xr4vAaxXB1yaLy.mp4?format=mp4",[],"2026-09-21T00:00:00Z","moge.ai","2026-09-21",{"tagline":55,"description":56,"features":57,"pros":76,"cons":77,"useCases":78,"pricingTiers":94,"faq":95},"Energy-efficient AI cloud infrastructure platform combining renewable-powered data centers with optimized GPU compute and managed inference services for accelerated model deployment.","Crusoe Cloud is an infrastructure-as-a-service (IaaS) platform purpose-built for artificial intelligence and machine learning workloads. The platform uniquely integrates stranded and renewable energy sources with next-generation GPU clusters, delivering computing performance up to 20 times faster than traditional providers while reducing costs by up to 81%. Crusoe operates vertically-integrated data centers powered by innovative Digital Flare Mitigation technology, which repurposes waste methane from oil and gas operations into clean electricity. The platform offers two primary service tiers: raw GPU compute with flexible pricing options (on-demand, spot, and reserved instances), and Crusoe Managed Inference for streamlined model deployment with breakthrough inference speed through proprietary MemoryAlloy technology.",[58,61,64,67,70,73],{"title":59,"desc":60},"High-Performance GPU Computing","Access to latest NVIDIA and AMD GPUs including GB200 NVL72, H200, H100, and MI355X with flexible instance configurations and rapid scaling capabilities for large-scale model training and inference.",{"title":62,"desc":63},"Managed Inference Service","Turnkey inference platform delivering up to 9.9x faster time-to-first-token and 5x higher token throughput using MemoryAlloy technology, enabling developers to deploy models via simple API calls without infrastructure management.",{"title":65,"desc":66},"AutoClusters Orchestration","Automated fault-tolerant cluster management supporting Kubernetes, Slurm, and custom orchestration tools with intelligent error detection, node replacement, and 99.98% uptime reliability.",{"title":68,"desc":69},"Renewable-Powered Infrastructure","Data centers powered by clean energy sources including solar, wind, hydropower, and repurposed natural gas, reducing computational carbon footprint while maintaining cost efficiency through energy arbitrage.",{"title":71,"desc":72},"Intelligence Foundry Developer Portal","Unified interface for rapid model experimentation with API key generation, performance monitoring, and seamless switching between inference and infrastructure resources within a single platform.",{"title":74,"desc":75},"Flexible Pricing Models","Multiple consumption options including on-demand hourly rates, reserved instances with long-term discounts, spot pricing for flexible workloads, and pay-as-you-go managed inference with diverse model catalog.",[],[],[79,82,85,88,91],{"user":80,"desc":81},"Large-Scale Model Training","Organizations training large language models and foundation models can leverage GPU clusters supporting weeks-long training jobs with reliable uptime, enterprise-grade support, and cost efficiency through reserved capacity.",{"user":83,"desc":84},"Model Inference at Scale","Production deployments requiring low-latency inference can utilize Crusoe Managed Inference to serve thousands of concurrent users with breakthrough speed and dynamic scaling, eliminating capacity bottlenecks.",{"user":86,"desc":87},"Real-Time Applications","Developer teams building real-time systems including AI agents, chatbots, and task automation can rapidly deploy models through managed endpoints without managing underlying infrastructure complexity.",{"user":89,"desc":90},"Cost-Sensitive ML Operations","Budget-conscious organizations can achieve significant cost reductions through reserved instances, spot pricing, and energy-efficient infrastructure while maintaining performance parity with premium alternatives.",{"user":92,"desc":93},"Startup AI Infrastructure","Early-stage AI companies can quickly scale from prototype to production with minimal operational overhead, 24\u002F7 support, and flexible commitment terms that scale with business growth.",[],[96,99,102,105,108,111,114,117],{"q":97,"a":98},"How much faster is Crusoe Managed Inference compared to standard inference engines?","Crusoe Managed Inference delivers up to 9.9x faster time-to-first-token and can process up to 5x more tokens per second compared to standard approaches. This performance gain comes from MemoryAlloy technology, a proprietary cluster-native memory fabric that enables persistent sessions and intelligent request routing.",{"q":100,"a":101},"What GPU options are available on Crusoe Cloud?","Crusoe offers the latest generation GPUs including NVIDIA GB200 NVL72, H200, H100, A100, and L40S, as well as AMD MI300X and MI355X. Pricing ranges from $0.40 to $4.29 per GPU-hour depending on model and pricing tier (on-demand, spot, or reserved).",{"q":103,"a":104},"How does the pricing structure work for GPU instances?","GPU instances are charged per GPU-hour at rates based on the specific model and purchasing option. For example, an NVIDIA H100 SXM instance with 8 GPUs costs $31.20\u002Fhour on on-demand pricing. Reserved instances offer significant discounts for long-term commitments, while spot pricing provides 50-80% savings for flexible workloads.",{"q":106,"a":107},"What is Digital Flare Mitigation and why does it matter?","Digital Flare Mitigation (DFM) is Crusoe's proprietary technology that repurposes methane gas that would otherwise be burned at oil and gas facilities into clean electricity for data centers. This reduces greenhouse gas emissions by approximately 4.4 metric tons of CO2-equivalent per GPU annually while lowering energy costs through stranded energy arbitrage.",{"q":109,"a":110},"Can I use existing DevOps tools with Crusoe Cloud?","Yes. Crusoe AutoClusters supports Kubernetes, Slurm, and other standard orchestration tools through CLI, GUI, and API interfaces. Your existing infrastructure-as-code and automation workflows can integrate directly with Crusoe.",{"q":112,"a":113},"What support options are available?","Crusoe provides 24\u002F7 enterprise-grade support with 100% customer satisfaction scores. The platform includes intelligent error detection, automated troubleshooting, node replacement, and programmatic capacity substitution to minimize downtime.",{"q":115,"a":116},"Is Managed Inference suitable for production workloads?","Yes. Managed Inference supports production-scale deployments with provisioned throughput options, resilient scaling, and 99.98% uptime. It eliminates infrastructure management overhead while delivering the performance and reliability required for user-facing applications.",{"q":118,"a":119},"How long does it take to go from experimentation to production?","Using Intelligence Foundry, developers can generate API keys and run models within hours. Managed endpoints are fully managed and tuned specifically to each model, enabling rapid production deployments without additional configuration or optimization.",{"tagline":121,"description":122,"features":123,"pros":142,"cons":143,"useCases":144,"pricingTiers":160,"faq":161},"节能AI云基础设施平台，结合可再生能源数据中心与优化的GPU计算和托管推理服务，加速模型部署。","Crusoe Cloud是专为人工智能和机器学习工作负载构建的基础设施即服务(IaaS)平台。该平台独特地将闲置和可再生能源与下一代GPU集群相结合，提供比传统供应商快达20倍的计算性能，同时降低高达81%的成本。Crusoe运营垂直整合的数据中心，由创新的Digital Flare Mitigation技术驱动，将石油和天然气运营的废甲烷转化为清洁电力。该平台提供两个主要服务层级：具有灵活定价选项（按需、竞价和预留实例）的原始GPU计算，以及通过专有MemoryAlloy技术实现突破性推理速度的Crusoe托管推理，用于简化模型部署。",[124,127,130,133,136,139],{"title":125,"desc":126},"高性能GPU计算","提供最新的NVIDIA和AMD GPU，包括GB200 NVL72、H200、H100和MI355X，具有灵活的实例配置和快速扩展能力，适用于大规模模型训练和推理。",{"title":128,"desc":129},"托管推理服务","一站式推理平台，通过MemoryAlloy技术实现高达9.9倍的首token响应速度提升和5倍的token吞吐量提升，让开发者通过简单的API调用部署模型，无需管理基础设施。",{"title":131,"desc":132},"AutoClusters编排","自动化容错集群管理，支持Kubernetes、Slurm和自定义编排工具，具有智能错误检测、节点替换和99.98%正常运行时间可靠性。",{"title":134,"desc":135},"可再生能源基础设施","数据中心由清洁能源驱动，包括太阳能、风能、水力发电和再利用天然气，通过能源套利降低计算碳足迹的同时保持成本效率。",{"title":137,"desc":138},"Intelligence Foundry开发者门户","统一界面用于快速模型实验，提供API密钥生成、性能监控，以及在单一平台内推理和基础设施资源之间的无缝切换。",{"title":140,"desc":141},"灵活定价模式","多种消费选项，包括按需小时费率、长期折扣的预留实例、灵活工作负载的竞价定价，以及多样化模型目录的按使用付费托管推理。",[],[],[145,148,151,154,157],{"user":146,"desc":147},"大规模模型训练","训练大语言模型和基础模型的组织可以利用GPU集群支持数周的训练作业，具有可靠的正常运行时间、企业级支持和通过预留容量实现的成本效率。",{"user":149,"desc":150},"大规模模型推理","需要低延迟推理的生产部署可以利用Crusoe托管推理为数千名并发用户提供服务，具有突破性的速度和动态扩展，消除容量瓶颈。",{"user":152,"desc":153},"实时应用","构建实时系统的开发团队，包括AI Agent、聊天机器人和任务自动化，可以通过托管端点快速部署模型，无需管理底层基础设施复杂性。",{"user":155,"desc":156},"成本敏感的ML运营","预算意识强的组织可以通过预留实例、竞价定价和节能基础设施实现显著的成本降低，同时保持与高端替代方案的性能对等。",{"user":158,"desc":159},"初创公司AI基础设施","早期AI公司可以快速从原型扩展到生产，运营开销最小，提供24\u002F7支持和随业务增长扩展的灵活承诺条款。",[],[162,165,168,171,174,177,180,183],{"q":163,"a":164},"Crusoe托管推理相比标准推理引擎快多少？","Crusoe托管推理提供高达9.9倍的首token响应速度提升，每秒可处理高达5倍的token数量，相比标准方法。这种性能提升来自MemoryAlloy技术，这是一种专有的集群原生内存架构，支持持久会话和智能请求路由。",{"q":166,"a":167},"Crusoe Cloud上有哪些GPU选项？","Crusoe提供最新一代GPU，包括NVIDIA GB200 NVL72、H200、H100、A100和L40S，以及AMD MI300X和MI355X。根据型号和定价层级（按需、竞价或预留），价格范围从每GPU小时0.40美元到4.29美元。",{"q":169,"a":170},"GPU实例的定价结构如何运作？","GPU实例按GPU小时收费，费率基于具体型号和购买选项。例如，配备8个GPU的NVIDIA H100 SXM实例在按需定价下成本为31.20美元\u002F小时。预留实例为长期承诺提供显著折扣，而竞价定价为灵活工作负载提供50-80%的节省。",{"q":172,"a":173},"什么是Digital Flare Mitigation，为什么重要？","Digital Flare Mitigation (DFM)是Crusoe的专有技术，将原本会在石油和天然气设施燃烧的甲烷气体转化为数据中心的清洁电力。这每年每GPU减少约4.4公吨二氧化碳当量的温室气体排放，同时通过闲置能源套利降低能源成本。",{"q":175,"a":176},"我可以在Crusoe Cloud上使用现有的DevOps工具吗？","是的。Crusoe AutoClusters通过CLI、GUI和API接口支持Kubernetes、Slurm和其他标准编排工具。您现有的基础设施即代码和自动化工作流可以直接与Crusoe集成。",{"q":178,"a":179},"有哪些支持选项？","Crusoe提供24\u002F7企业级支持，客户满意度达100%。平台包括智能错误检测、自动故障排除、节点替换和程序化容量替代，以最小化停机时间。",{"q":181,"a":182},"托管推理适合生产工作负载吗？","是的。托管推理支持生产规模部署，具有预配置吞吐量选项、弹性扩展和99.98%正常运行时间。它消除了基础设施管理开销，同时提供面向用户应用所需的性能和可靠性。",{"q":184,"a":185},"从实验到生产需要多长时间？","使用Intelligence Foundry，开发者可以在几小时内生成API密钥并运行模型。托管端点完全托管并专门针对每个模型进行调优，无需额外配置或优化即可实现快速生产部署。",{"github":187,"linkedin":188,"twitter":189,"instagram":190,"youtube":191},"https:\u002F\u002Fgithub.com\u002Fcrusoecloud","https:\u002F\u002Fwww.linkedin.com\u002Fcompany\u002Fcrusoe","https:\u002F\u002Fx.com\u002Fcrusoeai","https:\u002F\u002Fwww.instagram.com\u002Fcrusoe.ai","https:\u002F\u002Fwww.youtube.com\u002Fchannel\u002FUCFKvMIkL20rlt9-u6evBA5g",{"status":193,"http":194,"latencyMs":195,"finalUrl":196,"checkedAt":197,"title":198,"lang":199},"alive",200,3302,"https:\u002F\u002Fwww.crusoe.ai\u002F","2026-10-01T08:15:06Z","Crusoe | The AI factory company","en",[201,224,247,270,292,315,338,361,384,408,429,451],{"slug":202,"name":203,"cnName":9,"category":22,"categories":204,"subcategory":9,"pricing":24,"url":205,"logo":206,"accent":26,"tags":207,"rating":25,"saves":25,"featured":42,"editorPick":42,"priceFrom":25,"reviewCount":25,"updatedAt":208,"verified":42,"platforms":209,"monthlyVisits":25,"inputs":210,"outputs":211,"siteHealth":212,"en":217,"zh":220,"similarity":223},"vtok","VTok",[22],"https:\u002F\u002Fvtok.ai","https:\u002F\u002Fimage.moge.ai\u002Ffavicon\u002Fvtok.png",[37,36,38],"2026-09-22",[28],[30],[30],{"status":193,"http":194,"latencyMs":213,"finalUrl":214,"checkedAt":215,"title":216,"lang":199},700,"https:\u002F\u002Fvtok.ai\u002F","2026-09-30T21:45:13Z","New API",{"tagline":218,"description":219},"A reliable API relay service that consolidates access to OpenAI, DeepSeek, Gemini, Claude, and other leading AI models through a single unified endpoint.","VTok is an AI API relay platform designed to provide developers with stable, consistent access to a wide range of top-tier AI models — including the full ChatGPT series, DeepSeek, Google Gemini, and Anthropic Claude — through a single API interface. Rather than managing multiple API keys, rate limits, and billing accounts across different providers, developers can route all their model calls through VTok's unified endpoint. The service is particularly focused on delivering reliable uptime, low-latency responses, and OpenAI-compatible API formatting, making it easy to integrate into existing projects with minimal code changes.",{"tagline":221,"description":222},"一个可靠的API中继服务，通过单一统一端点整合对OpenAI、DeepSeek、Gemini、Claude和其他领先AI模型的访问。","VTok是一个AI API中继平台，旨在为开发者提供稳定、一致的访问各种顶级AI模型的服务——包括完整的ChatGPT系列、DeepSeek、Google Gemini和Anthropic Claude——通过单一API接口。开发者无需管理多个API密钥、速率限制和不同提供商的计费账户，可以通过VTok的统一端点路由所有模型调用。该服务特别专注于提供可靠的正常运行时间、低延迟响应和OpenAI兼容的API格式，使其易于集成到现有项目中，只需最少的代码更改。",40,{"slug":225,"name":226,"cnName":9,"category":22,"categories":227,"subcategory":9,"pricing":24,"url":228,"logo":229,"accent":26,"tags":230,"rating":25,"saves":25,"featured":42,"editorPick":42,"priceFrom":25,"reviewCount":25,"updatedAt":53,"verified":42,"platforms":233,"monthlyVisits":25,"inputs":234,"outputs":235,"siteHealth":236,"en":241,"zh":244,"similarity":223},"nebius-ai-studio","Nebius AI Studio",[22],"https:\u002F\u002Fnebius.ai","https:\u002F\u002Fimage.moge.ai\u002Ffavicon\u002Fnebius-ai-studio.png",[37,36,231,232,38],"ai-content-generator","text-to-image",[28],[30],[30],{"status":193,"http":194,"latencyMs":237,"finalUrl":238,"checkedAt":239,"title":240,"lang":199},1380,"https:\u002F\u002Fnebius.com\u002F","2026-10-01T03:00:16Z","The Ultimate AI Cloud",{"tagline":242,"description":243},"High-performance, cost-effective AI inference platform offering scalable access to state-of-the-art open-source models with flexible pricing and enterprise-grade infrastructure.","Nebius AI Studio is a cutting-edge Inference-as-a-Service platform designed to deliver ultra-fast, scalable, and affordable AI model inference. Built on proprietary full-stack infrastructure optimized for AI workloads, it supports a wide range of open-source models including Meta’s Llama-3.1-405B, Flux Schnell, Flux Dev, and SDXL for text-to-image generation. The platform features a user-friendly Playground for easy model experimentation and comparison, an OpenAI-compatible API for seamless integration, and a flexible dual-flavor approach balancing speed and cost-efficiency. Nebius AI Studio targets developers, businesses, and creative professionals seeking to scale AI-powered content creation, real-time applications, and enterprise deployments while ensuring compliance with data privacy and AI regulations.",{"tagline":245,"description":246},"高性能、高性价比的AI推理平台，提供可扩展的顶级开源模型访问，灵活定价与企业级基础设施。","Nebius AI Studio是一款领先的推理即服务（Inference-as-a-Service）平台，专为提供超快、可扩展且经济实惠的AI模型推理而设计。平台基于自研的全栈基础设施，针对AI负载深度优化，支持包括Meta Llama-3.1-405B、Flux Schnell、Flux Dev和SDXL等在内的多种开源模型，涵盖文本生成和文本生成图像。平台配备易用的Playground，便于模型实验和对比，支持兼容OpenAI的API实现无缝集成，并通过灵活的双模式架构兼顾速度与成本。Nebius AI Studio面向开发者、企业和创意人士，助力AI内容创作、实时应用和企业级部署，同时确保数据隐私和AI合规性。",{"slug":248,"name":249,"cnName":9,"category":22,"categories":250,"subcategory":9,"pricing":24,"url":251,"logo":252,"accent":26,"tags":253,"rating":25,"saves":25,"featured":42,"editorPick":42,"priceFrom":25,"reviewCount":25,"updatedAt":53,"verified":42,"platforms":256,"monthlyVisits":25,"inputs":257,"outputs":258,"siteHealth":259,"en":264,"zh":267,"similarity":223},"mosaic-ai","Mosaic AI",[22],"https:\u002F\u002Fusemosaic.ai","https:\u002F\u002Fimage.moge.ai\u002Ffavicon\u002Fmosaic-ai.png",[38,36,254,37,255],"monitor-log-management","ai-data-analysis",[28],[30],[30],{"status":193,"http":194,"latencyMs":260,"finalUrl":261,"checkedAt":262,"title":263,"lang":199},1040,"https:\u002F\u002Fmosaic.so\u002F","2026-10-01T03:15:09Z","Mosaic | Agentic AI Video Editing Platform",{"tagline":265,"description":266},"Comprehensive AI platform integrated with Databricks for building, deploying, and monitoring production-grade generative AI and ML applications.","Mosaic AI is a powerful suite of tools embedded within the Databricks Data Intelligence Platform, designed to streamline the development, deployment, and governance of AI and machine learning applications at scale. It supports advanced capabilities such as large language model (LLM) serving, vector search, agent frameworks, and model evaluation, all integrated with unified governance via Unity Catalog and lifecycle management through MLflow. Mosaic AI enables enterprises to build production-ready generative AI apps with robust monitoring, quality control, and seamless integration with data lakes and cloud infrastructure.",{"tagline":268,"description":269},"集成于Databricks的全方位AI平台，用于构建、部署和监控生产级生成式AI与ML应用。","Mosaic AI是一套强大的工具集，内嵌于Databricks数据智能平台，旨在简化大规模AI与机器学习应用的开发、部署与治理。其支持高级功能，如大语言模型（LLM）服务、向量检索、Agent框架与模型评估，并通过Unity Catalog实现统一治理，通过MLflow进行生命周期管理。Mosaic AI帮助企业构建具备强大监控、质量控制和无缝数据湖、云基础设施集成能力的生产级生成式AI应用。",{"slug":271,"name":272,"cnName":9,"category":22,"categories":273,"subcategory":9,"pricing":24,"url":274,"logo":275,"accent":26,"tags":276,"rating":25,"saves":25,"featured":42,"editorPick":42,"priceFrom":25,"reviewCount":25,"updatedAt":53,"verified":42,"platforms":277,"monthlyVisits":278,"inputs":279,"outputs":280,"siteHealth":281,"en":286,"zh":289,"similarity":223},"leeroo","Leeroo",[22],"https:\u002F\u002Fleeroo.com","https:\u002F\u002Fimage.moge.ai\u002Ffavicon\u002Fleeroo.png",[38,37,36],[28],1125,[30],[30],{"status":193,"http":194,"latencyMs":282,"finalUrl":283,"checkedAt":284,"title":285,"lang":199},286,"https:\u002F\u002Fleeroo.com\u002F","2026-10-01T04:30:08Z","Leeroo | A Living Model of Your Business, Built by AI",{"tagline":287,"description":288},"A flexible AI agent platform that orchestrates multiple expert models to deliver efficient, accurate, and scalable AI solutions with deployment options on-premise or in the cloud.","Leeroo is an advanced AI system designed to transform knowledge into intelligent agents by orchestrating a diverse set of expert language models. Its core innovation, the Leeroo Orchestrator, dynamically selects the most suitable expert models for each task, optimizing for accuracy, speed, and cost. Unlike traditional approaches that require high-end hardware, Leeroo supports deployment on accessible consumer-grade machines and any cloud environment, offering scalability and privacy through on-premise options. The platform continuously improves through a self-play training loop that refines its ability to assign tasks to experts, enabling superior performance especially in STEM domains like mathematics and computer science.",{"tagline":290,"description":291},"一个灵活的AI智能体平台，编排多个专家模型，提供高效、准确和可扩展的AI解决方案，并提供本地或云端部署选项。","Leeroo是一个先进的AI系统，旨在通过编排多样化的专家语言模型将知识转化为智能体。其核心创新，Leeroo Orchestrator，能够动态选择最适合每个任务的专家模型，优化准确性、速度和成本。与需要高端硬件的传统方法不同，Leeroo支持在可访问的消费级机器和任何云环境中部署，通过本地选项提供可扩展性和隐私保护。该平台通过自我对弈训练循环不断改进，提高其分配任务给专家的能力，尤其在数学和计算机科学等STEM领域实现卓越性能。",{"slug":293,"name":294,"cnName":9,"category":22,"categories":295,"subcategory":9,"pricing":24,"url":296,"logo":297,"accent":26,"tags":298,"rating":25,"saves":25,"featured":42,"editorPick":42,"priceFrom":25,"reviewCount":25,"updatedAt":53,"verified":42,"platforms":301,"monthlyVisits":25,"inputs":302,"outputs":303,"siteHealth":304,"en":309,"zh":312,"similarity":223},"gradient-ai","Gradient AI",[22],"https:\u002F\u002Fgradient.ai","https:\u002F\u002Fimage.moge.ai\u002Ffavicon\u002Fgradient-ai.png",[36,38,299,37,300],"healthcare","ai-investing-tools",[28],[30],[30],{"status":193,"http":194,"latencyMs":305,"finalUrl":306,"checkedAt":307,"title":308,"lang":199},533,"https:\u002F\u002Fwww.hyperagent.com\u002F","2026-10-01T06:00:07Z","Hyperagent",{"tagline":310,"description":311},"A comprehensive AI platform offering customizable private models and APIs for insurance, finance, and healthcare sectors to optimize workflows and decision-making.","Gradient AI delivers a versatile platform designed for deploying and tailoring private AI models with full user control and data ownership. It supports seamless integration via APIs and SDKs, enabling industries such as insurance, finance, and healthcare to automate complex tasks, improve claims and underwriting processes, accelerate investment research, and enhance clinical and administrative workflows. The platform emphasizes privacy, compliance, and infrastructure management, allowing organizations to implement AI solutions without sacrificing security or control.",{"tagline":313,"description":314},"一个全面的AI平台，为保险、金融和医疗保健行业提供可定制的私有模型和API，以优化工作流程和决策制定。","Gradient AI提供一个多功能平台，专为部署和定制私有AI模型而设计，用户拥有完全控制权和数据所有权。它通过API和SDK支持无缝集成，使保险、金融和医疗保健等行业能够自动化复杂任务，改进理赔和承保流程，加速投资研究，并增强临床和管理工作流程。该平台强调隐私、合规性和基础设施管理，使组织能够实施AI解决方案，而不牺牲安全性或控制权。",{"slug":316,"name":317,"cnName":9,"category":22,"categories":318,"subcategory":9,"pricing":24,"url":319,"logo":320,"accent":26,"tags":321,"rating":25,"saves":25,"featured":42,"editorPick":42,"priceFrom":25,"reviewCount":25,"updatedAt":53,"verified":42,"platforms":323,"monthlyVisits":324,"inputs":325,"outputs":326,"siteHealth":327,"en":332,"zh":335,"similarity":223},"cotools-chain-of-tools","CoTools (Chain-of-Tools)",[22],"https:\u002F\u002Fcotool.ai","https:\u002F\u002Fimage.moge.ai\u002Ffavicon\u002Fcotools-chain-of-tools.png",[38,36,322,37],"workflow-sop-management",[28],85,[30],[30],{"status":193,"http":194,"latencyMs":328,"finalUrl":329,"checkedAt":330,"title":331,"lang":199},802,"https:\u002F\u002Fwww.cotool.ai\u002F","2026-10-01T08:15:10Z","Cotool - AI for the blue team.",{"tagline":333,"description":334},"A modular AI framework enabling large language models to dynamically use thousands of external tools for advanced reasoning and automation.","CoTools is an innovative framework that empowers large language models (LLMs) to interact with a vast array of external tools-such as APIs, databases, and calculators-without retraining or compromising their core reasoning abilities. By leveraging hidden states and semantic representations within frozen LLMs, CoTools allows AI agents to determine when, which, and how to use tools in real time. This approach enables scalable, flexible, and model-agnostic tool integration, making it ideal for building advanced, context-aware AI systems for enterprise and research applications.",{"tagline":336,"description":337},"一个模块化AI框架，使大型语言模型能够动态使用数千种外部工具进行高级推理和自动化。","CoTools是一个创新框架，使大型语言模型（LLMs）能够与各种外部工具（如API、数据库和计算器）交互，无需重新训练或损害其核心推理能力。通过利用冻结LLMs中的隐藏状态和语义表示，CoTools允许AI智能体实时确定何时、使用哪些工具以及如何使用工具。这种方法实现了可扩展、灵活和模型无关的工具集成，非常适合为企业和研究应用构建先进的、上下文感知的AI系统。",{"slug":339,"name":340,"cnName":9,"category":22,"categories":341,"subcategory":9,"pricing":24,"url":342,"logo":343,"accent":26,"tags":344,"rating":25,"saves":25,"featured":42,"editorPick":42,"priceFrom":25,"reviewCount":25,"updatedAt":345,"verified":42,"platforms":346,"monthlyVisits":347,"inputs":348,"outputs":349,"siteHealth":350,"en":355,"zh":358,"similarity":223},"arcee-ai","Arcee AI",[22],"https:\u002F\u002Farcee.ai","https:\u002F\u002Fimage.moge.ai\u002Ffavicon\u002Farcee-ai.png",[37,38,36],"2026-09-20",[28],123403,[30],[30],{"status":193,"http":194,"latencyMs":351,"finalUrl":352,"checkedAt":353,"title":354,"lang":199},710,"https:\u002F\u002Fwww.arcee.ai\u002F","2026-10-01T10:15:12Z","Arcee AI | Building Open Intelligence",{"tagline":356,"description":357},"A U.S.-based open intelligence lab building efficient open-weight language models that run on edge, on-prem, or cloud without vendor lock-in.","Arcee AI is an American model lab focused on building open-weight foundation models optimized for performance per parameter rather than raw scale. Its flagship Trinity model family — spanning Nano, Mini, and Large variants — delivers consistent capabilities across device sizes, from edge hardware to cloud infrastructure. All models are released under Apache-2.0 and support multi-turn conversations, tool use, and structured outputs. Arcee also offers an SLM Adaptation System that enables enterprises to train, fine-tune, and deploy smaller, domain-specific language models entirely within their own virtual private cloud (VPC), ensuring full data ownership and no third-party exposure.",{"tagline":359,"description":360},"一家美国开放智能实验室，构建高效的开放权重语言模型，可在边缘、本地或云端运行，无供应商锁定。","Arcee AI是一家美国模型实验室，专注于构建针对每参数性能而非原始规模优化的开放权重基础模型。其旗舰Trinity模型家族——涵盖Nano、Mini和Large变体——在从边缘硬件到云基础设施的各种设备尺寸上提供一致的能力。所有模型都在Apache-2.0许可下发布，支持多轮对话、工具使用和结构化输出。Arcee还提供SLM适配系统，使企业能够完全在自己的虚拟私有云(VPC)内训练、微调和部署更小的、特定领域的语言模型，确保完全的数据所有权且无第三方暴露。",{"slug":362,"name":363,"cnName":9,"category":22,"categories":364,"subcategory":9,"pricing":24,"url":365,"logo":366,"accent":26,"tags":367,"rating":25,"saves":25,"featured":42,"editorPick":42,"priceFrom":25,"reviewCount":25,"updatedAt":208,"verified":42,"platforms":368,"monthlyVisits":369,"inputs":370,"outputs":371,"siteHealth":372,"en":377,"zh":380,"similarity":383},"turnkey","Turnkey",[22],"https:\u002F\u002Fturnkey.com","https:\u002F\u002Fimage.moge.ai\u002Ffavicon\u002Fturnkey.png",[36,38],[28],126080,[30],[30],{"status":193,"http":194,"latencyMs":373,"finalUrl":374,"checkedAt":375,"title":376,"lang":199},1164,"https:\u002F\u002Fwww.turnkey.com\u002F","2026-09-30T22:15:15Z","Turnkey — Secure, flexible, and scalable wallet infrastructure",{"tagline":378,"description":379},"Turnkey offers secure, scalable, and flexible wallet infrastructure with seamless private key management and onchain automation through a unified API.","Turnkey is a modular key management platform designed to simplify wallet creation, transaction signing, and onchain automation. It provides developers with flexible APIs and open-source SDKs to build embedded wallets, automate complex crypto transactions, and implement granular security policies. Founded by the team behind Coinbase Custody, Turnkey emphasizes cryptographic security by leveraging trusted hardware enclaves to ensure private keys remain protected and never exposed. Its infrastructure supports a variety of authentication methods and account abstraction, enabling seamless onboarding and user-friendly wallet experiences across multiple blockchain networks.",{"tagline":381,"description":382},"Turnkey提供安全、可扩展且灵活的钱包基础设施，通过统一API实现无缝的私钥管理和链上自动化。","Turnkey是一个模块化密钥管理平台，旨在简化钱包创建、交易签名和链上自动化。它为开发者提供灵活的API和开源SDK，用于构建嵌入式钱包、自动化复杂的加密货币交易，并实施精细的安全策略。由Coinbase Custody背后的团队创立，Turnkey通过利用可信硬件飞地确保私钥保持受保护且不被暴露，从而强调加密安全。其基础设施支持各种认证方法和账户抽象，实现跨多个区块链网络的无缝入门和用户友好的钱包体验。",37,{"slug":385,"name":386,"cnName":9,"category":22,"categories":387,"subcategory":9,"pricing":24,"url":388,"logo":389,"accent":26,"tags":390,"rating":25,"saves":25,"featured":42,"editorPick":42,"priceFrom":25,"reviewCount":25,"updatedAt":208,"verified":42,"platforms":393,"monthlyVisits":394,"inputs":395,"outputs":396,"siteHealth":397,"en":402,"zh":405,"similarity":383},"truffle-ai-2","Truffle AI",[22],"https:\u002F\u002Ftruffles.ai","https:\u002F\u002Fimage.moge.ai\u002Ffavicon\u002Ftruffle-ai-2.png",[38,391,36,392,255],"ai-customer-service","ai-api-design",[28],467,[30],[30],{"status":193,"http":194,"latencyMs":398,"finalUrl":399,"checkedAt":400,"title":401,"lang":199},505,"https:\u002F\u002Fwww.truffles.ai\u002F","2026-09-30T22:30:05Z","Truffles AI | Credit Intelligence & Risk Systems for Lenders",{"tagline":403,"description":404},"Platform offering seamless AI agent integration into software applications via simple APIs, eliminating infrastructure complexity.","Truffle AI streamlines the deployment of AI agents by providing plug-and-play APIs that handle all backend complexities such as state management, memory, vector databases, and external tool integrations. This enables developers to embed customizable AI agents into any application with minimal code, accelerating AI adoption and reducing operational overhead. The platform supports multi-agent workflows and is designed to scale from solo developers to enterprise teams, allowing rapid prototyping and production-ready AI solutions without infrastructure burdens.",{"tagline":406,"description":407},"通过简单的API提供无缝AI智能体集成到软件应用中的平台，消除基础设施复杂性。","Truffle AI通过提供处理所有后端复杂性的即插即用API，简化了AI智能体的部署，包括状态管理、内存、向量数据库和外部工具集成。这使开发人员能够以最少的代码将可定制的AI智能体嵌入任何应用程序，加速AI应用并减少运营开销。该平台支持多智能体工作流，设计用于从个人开发者到企业团队的不同规模，允许在没有基础设施负担的情况下进行快速原型设计和生产就绪的AI解决方案。",{"slug":409,"name":410,"cnName":9,"category":22,"categories":411,"subcategory":9,"pricing":24,"url":412,"logo":413,"accent":26,"tags":414,"rating":25,"saves":25,"featured":42,"editorPick":42,"priceFrom":25,"reviewCount":25,"updatedAt":208,"verified":42,"platforms":415,"monthlyVisits":25,"inputs":416,"outputs":417,"siteHealth":418,"en":423,"zh":426,"similarity":383},"tropir","Tropir",[22],"https:\u002F\u002Ftropir.com","https:\u002F\u002Fimage.moge.ai\u002Ffavicon\u002Ftropir.png",[36,38,254],[28],[30],[30],{"status":193,"http":194,"latencyMs":419,"finalUrl":420,"checkedAt":421,"title":422,"lang":199},295,"https:\u002F\u002Fwww.aviro.ai\u002F","2026-09-30T22:30:07Z","Aviro",{"tagline":424,"description":425},"Developer platform for tracing, debugging, and automatically fixing complex LLM pipelines and agent workflows.","Tropir is a comprehensive debugging and optimization platform designed specifically for LLM-based applications and multi-agent systems. The platform provides full-pipeline traceability, allowing developers to track how data flows through prompts, tools, and model calls. When failures occur, Tropir automatically traces issues back to their root cause, suggests targeted fixes, reruns the pipeline with improvements, and validates results through evaluation metrics. The platform integrates seamlessly with major AI providers and requires no code changes to existing workflows.",{"tagline":427,"description":428},"用于跟踪、调试和自动修复复杂LLM流程和Agent工作流的开发者平台。","Tropir是一个专为基于LLM的应用程序和多Agent系统设计的综合调试和优化平台。该平台提供全流程可追溯性，使开发人员能够跟踪数据如何通过提示词、工具和模型调用流动。当出现故障时，Tropir自动将问题追溯到根本原因，建议有针对性的修复方案，使用改进重新运行流程，并通过评估指标验证结果。该平台与主要AI提供商无缝集成，无需对现有工作流进行代码更改。",{"slug":430,"name":431,"cnName":9,"category":22,"categories":432,"subcategory":9,"pricing":24,"url":433,"logo":434,"accent":26,"tags":435,"rating":25,"saves":25,"featured":42,"editorPick":42,"priceFrom":25,"reviewCount":25,"updatedAt":208,"verified":42,"platforms":436,"monthlyVisits":437,"inputs":438,"outputs":439,"siteHealth":440,"en":445,"zh":448,"similarity":383},"trainloop-ai","TrainLoop AI",[22],"https:\u002F\u002Ftrainloop.ai","https:\u002F\u002Fimage.moge.ai\u002Ffavicon\u002Ftrainloop-ai.png",[37,36],[28],3962,[30],[30],{"status":193,"http":194,"latencyMs":441,"finalUrl":442,"checkedAt":443,"title":444,"lang":199},351,"https:\u002F\u002Fwww.trainloop.ai\u002F","2026-09-30T22:30:10Z","Trainloop AI",{"tagline":446,"description":447},"A managed platform for fine-tuning reasoning models using reinforcement learning to deliver domain-specific, reliable AI performance.","TrainLoop AI simplifies the process of enhancing large language models through advanced reinforcement learning-based fine-tuning, a technique used by leading AI labs. It provides an end-to-end solution that covers data collection, model training, and deployment via a standard API, enabling developers to create custom models tailored to their specific business needs. By focusing on reasoning fine-tuning, TrainLoop reduces the need for extensive labeled data and minimizes reliance on complex prompt engineering, resulting in more accurate and consistent model outputs. The platform emphasizes data security and privacy, with strict isolation and deletion controls, and is backed by AI experts from Google and Y Combinator.",{"tagline":449,"description":450},"基于强化学习的推理模型托管微调平台，助力行业实现高可靠AI性能。","TrainLoop AI通过先进的强化学习微调技术，简化大语言模型能力提升流程。这一业界领先方法被顶尖AI实验室采用，平台覆盖数据采集、模型训练与标准API部署，助力开发者按需定制专属模型。专注推理微调，降低标注数据需求，减少复杂提示词工程依赖，带来更准确一致的模型输出。平台高度重视数据安全与隐私，严格隔离与删除控制，由Google及Y Combinator背景的AI专家团队支持。",{"slug":452,"name":453,"cnName":9,"category":22,"categories":454,"subcategory":9,"pricing":24,"url":455,"logo":456,"accent":26,"tags":457,"rating":25,"saves":25,"featured":42,"editorPick":42,"priceFrom":25,"reviewCount":25,"updatedAt":208,"verified":42,"platforms":458,"monthlyVisits":459,"inputs":460,"outputs":461,"siteHealth":462,"en":467,"zh":470,"similarity":383},"together-enterprise-platform","Together Enterprise Platform",[22],"https:\u002F\u002Ftogetherplatform.com","https:\u002F\u002Fimage.moge.ai\u002Ffavicon\u002Ftogether-enterprise-platform.png",[37,36],[28],66312,[30],[30],{"status":193,"http":194,"latencyMs":463,"finalUrl":464,"checkedAt":465,"title":466,"lang":199},449,"https:\u002F\u002Fwww.togetherplatform.com\u002F","2026-09-30T22:30:16Z","Together Mentoring Software",{"tagline":468,"description":469},"Comprehensive AI platform enabling secure, scalable, and cost-efficient deployment, fine-tuning, and inference of generative AI models in any environment.","Together Enterprise Platform is designed for businesses to manage the full lifecycle of generative AI models—from training and fine-tuning to inference—while maintaining complete control over data and models. It supports deployment on cloud, virtual private clouds (VPC), or on-premises infrastructure, optimizing GPU utilization and reducing operational costs. The platform offers advanced model orchestration, continuous optimization, and access to a broad range of open-source and custom AI models, empowering enterprises to build scalable, secure, and high-performance AI applications.",{"tagline":471,"description":472},"一站式AI平台，实现生成式AI模型在任意环境下的安全、可扩展及高效部署、微调与推理。","Together Enterprise Platform专为企业设计，帮助管理生成式AI模型的全生命周期——从训练、微调到推理——同时保持对数据和模型的完全掌控。平台支持在云、虚拟专用云（VPC）或本地基础设施上部署，优化GPU利用率并降低运营成本。通过先进的模型编排、持续优化及对广泛开源和自定义AI模型的支持，助力企业构建可扩展、安全且高性能的AI应用。"]