Cloud‑Agnostic Ml Pipelines

Capafy is an AI agent marketplace for publishing, versioning and distributing autonomous agents, with deployment configuration for cloud and edge, searchable discovery, tagging and filters, developer onboarding, collaboration features, integrations and built-in analytics.

AI and data analytics platform delivering end‑to‑end solutions across multiple sectors. It accelerates experimentation to production, supports data engineering, MLOps, LLMOps, and digital engineering, integrating Databricks, Snowflake, and Google Cloud to shorten insight‑to‑action time and boost eff

ClearML AI Infrastructure Platform unifies GPU management, model development, and generative‑AI deployment across on‑prem, cloud, and hybrid setups, offering secure multi‑tenant provisioning, priority scheduling, fractional GPU allocation, integrated IDE, CI/CD, and streamlined workflows for data sc

Roboflow streamlines computer‑vision projects by offering a low‑code pipeline for data annotation, GPU‑accelerated training, and multi‑environment deployment. It integrates with PyTorch, TensorFlow, Hugging Face, major clouds, and meets SOC2 Type 2 and HIPAA security.

H2O.ai delivers an end‑to‑end AI platform that automates feature engineering, model selection, and explainability through AutoML, offers no‑code LLM training, supports enterprise multi‑model orchestration, and includes MLOps and a feature store, all compliant with strict data security standards.

Union.ai is a cloud‑native AI orchestration platform that lets data scientists and ML engineers build, test, and deploy high‑velocity, pure Python workflows. It supports dynamic branching, real‑time inference, automatic failure recovery, caching, versioning, and observability dashboards.

Nebius AI Studio offers efficient model deployment with hosted open-source models, ultra-low latency, and scalable processing options. It simplifies AI model exploration through an intuitive interface while ensuring verified quality and performance for diverse applications.

DataCamp provides interactive courses, hands-on projects, and role-based career and skill tracks for data science, ML, and AI. It covers Python, R, SQL, cloud platforms, LLMs, and MLOps, plus team analytics and customizable learning paths.

CloudVerse offers a compute economics platform that routes AI workloads by cost‑performance, enforces cost guardrails in CI/CD and IaC, throttles wasteful queries, forecasts demand for Reserved Instances, detects spend spikes, and autonomously rightsizes infrastructure across deployments, meeting IS

DeepSense.ai provides end‑to‑end AI solutions for enterprises, integrating large language models, retrieval‑augmented generation, MLOps, advanced computer‑vision, edge inference, and predictive analytics to deliver scalable, real‑time AI agents, co‑pilots, and maintenance optimization.

Fluidstack offers dedicated GPU clusters on bare‑metal Atlas OS, delivering rapid provisioning and full resource control. Continuous monitoring via Lighthouse ensures isolated, compliant infrastructure (GDPR, SOC 2, ISO 27001) with a 15‑minute support SLA for AI labs, enterprises, and government use

Agentic AI Platform offers autonomous multicloud cost optimization by analyzing usage patterns to minimize cloud expenditures. It automates resource allocation and workload optimization, improving cost visibility and enabling data-driven decisions for efficient cloud management.

CloudSoul is an AI-driven SaaS platform that simplifies cloud deployment and management through natural language input, offering real-time configuration guidance, reducing complexity, and making cloud services accessible to both technical and non-technical users.

Mistral AI offers developers a platform for building cutting-edge generative AI models with a focus on performance and customization. Their models excel in reasoning tasks and benchmarks, providing flexible deployment options across infrastructures.

SiliconFlow is an AI infrastructure platform enabling high-speed inference for LLMs and multimodal applications, supporting serverless, reserved, and private-cloud deployments. It offers low-latency processing, elastic compute, and built-in monitoring for scalable, cost-efficient AI workloads.

Metaflow is an open‑source Python framework for building, managing, and deploying ML workflows. It supports local development, seamless cloud migration, automatic variable tracking, compute scaling, versioned workflow storage, and one‑click production rollout.

Durable turns plain‑English requirements into production‑ready code, automatically generating, testing, and deploying workflows across Salesforce, Snowflake, HubSpot, Google Workspace, and 50+ APIs. One‑click deployment, continuous monitoring, isolated containers, SOC 2 compliance, and audit‑ready s

Cirrascale offers a private AI cloud that supports training and inference on AMD, Cerebras, NVIDIA, and Qualcomm accelerators. It provides zero DevOps, no data‑transfer fees, high‑bandwidth networking, and configurable multi‑GPU servers, streamlining workflows and accelerating deployment.

Modal is a cloud‑native platform that lets developers run inference, training, batch jobs, sandboxes, and notebooks with sub‑second cold starts and instant autoscaling. It’s Python‑centric, offers elastic multi‑cloud GPU scaling, zero‑idle scaling, unified observability, and high‑throughput AI‑nativ

Fleak AI Workflows is a serverless API builder that allows users to create and manage AI-driven applications effortlessly. It supports custom workflows, integrates with existing services, and enhances operational efficiency through automation without extensive coding knowledge.

AI-Flow is a no‑code platform enabling creators to build and run AI workflows via drag‑and‑drop, integrating models from OpenAI, StabilityAI, Anthropic, and Replicate for batch image, video, and content summarization.

Dify is an open‑source, drag‑and‑drop platform that lets teams build agentic workflows and RAG pipelines without code, supports multiple LLMs and external data sources, offers observability, modular API integrations, and can serve as an MLP server.

fal.ai offers a unified API for generating images, videos, audio, and 3D models from a library of over 1,000 production‑ready assets. It provides serverless GPU inference, private deployment options, NVIDIA‑cluster fine‑tuning, SOC 2 compliance, and enterprise‑grade support.

Donovan provides a no‑code Agent Factory that builds and connects AI agents for mission‑critical government and defense workflows. It evaluates model performance, runs on classified, air‑gapped Kubernetes environments, and offers traceable reasoning with defense‑aligned guardrails.

Clawcloud Run is a cloud-native platform that enables users to build, deploy, and manage applications visually without coding. It supports various databases, offers low-code monitoring solutions, and features automated setups for streamlined workflows.

VModel provides a unified REST API that lets developers deploy and run custom or community‑built models with a single line of code. It supports Node.js, Python, and cURL for image, text, and video tasks, automatically scaling for production workloads.

Vocareum delivers labs with IDEs, notebooks, and GPU/CPU clusters in isolated containers or accounts. It offers tutoring, code grading, and a unified gateway to AWS, Azure, GCP, Databricks, and foundation models. LMS integration and SOC 2 compliance enable scalable training.

Cogniflow is a no-code AI platform that allows users to easily train custom models or use pre-trained models for various tasks and can be easily integrated into workflows, with add-ons for Excel and Google Sheets.

Swiftask unites 80+ AI models—including Claude, Gemini, and OpenAI—into one no‑code platform that automates tasks such as CRM updates, email drafting, and business intelligence. It offers connectors to 3,000+ tools, secure governance, and ISO 27001‑certified hosting in France.

Runpod supplies on‑demand GPUs in 31 regions, offering single‑node pods, multi‑node clusters, and serverless workloads. It delivers low‑latency inference, efficient fine‑tuning, instant scaling, S3‑compatible storage, real‑time logs, and sub‑200 ms cold starts.

LM Studio runs open‑source large language models locally on Mac (M‑series), Windows, and Linux, enabling private, offline inference. It offers command‑line and headless deployment, server‑side API, SDKs, a model hub, and LM Link for remote model access.

Glean indexes content from 100+ business apps—including Slack, Teams, Gmail, Salesforce, and SharePoint—to deliver a unified search experience. Its AI assistant retrieves documents and emails based on user context, while Agent Builder automates repetitive tasks. Security controls safeguard sensitive

ezML is a cloud AI platform revolutionizing computer vision with zero-shot learning and text-to-model capabilities. It enables users to easily create custom pipelines for tasks like object detection and image-to-text conversion, featuring simple deployment and scalability for various business appli

Voiceflow enables teams to create, test, and deploy AI‑powered conversational agents across chat, voice, phone, and web without coding. Its visual editor, real‑time collaboration, and secure deployment pipelines streamline design, evaluation, and omnichannel rollout.

UbiOps offers a unified interface to deploy AI models on local, hybrid, or multi‑cloud environments. It provides version control, API management, resource prioritization, automated scaling, GPU provisioning, and Kubernetes orchestration, aiding cost, security, and compliance for production workloads

WindyFlo is a no‑code AI pipeline platform that lets users drag‑and‑drop modular nodes to build, test, and deploy models. It supports global LLMs, launches with a single API call, and manages infrastructure automatically.

ZEGOCLOUD Conversational AI is a comprehensive platform that provides real-time voice, video, and chat APIs. It enhances interactions with AI effects and scalable, low-latency infrastructure for applications in telehealth, education, and gaming.

Maxclaw is a cloud-hosted AI agent built on minimax m2.5, offering one‑click deployment, persistent long‑term memory (200k+ tokens), persona customization, messaging integrations (Telegram/Discord/Slack), and tooling for browsing, code execution, file analysis and automation.

Lightning AI is a PyTorch Lightning‑based cloud platform for training, deploying, and serving models at scale. It offers GPU workspaces, managed clusters, fractional pay‑as‑you‑go GPU capacity, inference APIs, serverless deployment, security, and integration with LitServe, LitGPT, and LLMs.

Vast.ai supplies on‑demand GPU instances, including NVIDIA RTX, H100, and Blackwell models, deployable in seconds. Developers can programmatically provision resources via CLI, SDK or API, and scale workloads with autoscaling, serverless inference, and dedicated InfiniBand clusters.

Linque unifies IT, OT, and AI for real‑time data connectivity across legacy and modern systems. It offers VisionAI visual inspection, AI‑Enabled Verification, AI‑Ops predictive analytics, and AI‑Production dashboards, backed by consulting for seamless modernization.

TextCortex centralizes AI agent creation, deployment, and governance with a visual builder that integrates Slack, Teams, and a browser extension. It offers a secure model hub, GDPR‑compliant data sovereignty, knowledge search, spreadsheet analysis, and auditable workflows to reduce manual effort.

Hal9 is an autonomous AI platform that builds, hosts, and scales AI‑powered products quickly. It generates MVPs for chatbots, agents, websites, mobile apps, and APIs using Python and open‑source libraries, with isolated Kubernetes pods for secure, private deployment.

Eden AI offers a single API that consolidates LLMs, vision, OCR, speech, translation, and more from Meta, Mistral, AWS, Azure, Google, and OpenAI. It provides smart routing, fallback, cost/latency selection, batch processing, caching, and multi‑API key management.

Cerebras provides a wafer-scale AI accelerator and software stack that enables single-node training of very large LLMs, high-throughput low-latency inference (GLM-4.6 at 1,000 TPS), PyTorch SDK, deployment options, and MLOps tooling.

CloudCLI AI is a containerized remote development platform that provides persistent, cross-device coding sessions. It integrates AI coding agents, supports major IDEs, and offers team features for shared environments and configurations.

Devozy.ai is a self-service platform for developers that streamlines software deployment in multi-cloud environments. It automates CI/CD pipelines, integrates project management, and enables cloud infrastructure provisioning from a unified console, enhancing productivity and reducing time-to-market.

ClimateLens offers 1 km resolution climate insights for the food, agriculture, and related sectors. It aggregates weather data, selects optimal forecasts via machine learning, provides real‑time alerts, custom dashboards, and an API for seamless enterprise integration.

ClawCloud Run is a cloud-native platform that simplifies application development and management with a visual canvas, enabling low-code deployment and multi-database support. It offers template stores, automated environments, and a unified interface for seamless testing and production workflows.

RunningHub is a cloud IDE for ComfyUI workflows, enabling in‑browser design, editing, and GPU‑accelerated execution. It offers pre‑installed nodes, access to major diffusion and video models, training tools, API integration, and real‑time collaboration.