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AI Platforms: Categories That Make AI Operational

An index of the platform categories that make AI operational — from AIOps and MLOps to agentic AI, chatbots, decisioning, observability and data annotation — each linking to a curated directory.

25 topics•3 categories•Updated November 2026

Operations Platforms

6 entries

Run, monitor and govern AI and data.

01AIOps Tools & PlatformsAI for IT operations. 02MLOps PlatformsOperationalising machine learning. 03ModelOps PlatformsEnterprise model operations. 04DataOps PlatformsData pipeline operations. 05AI Observability Platforms & ToolsObservability for AI systems. 06LLM Observability ToolsLLMOps tools and observability.

Build & Deploy AI

5 entries

Platforms for building models and applications.

07Machine Learning & Enterprise AI PlatformsEnd-to-end ML platforms. 08Enterprise AI Operationalization PlatformsOperationalising enterprise AI. 09No-Code AI Development PlatformsBuild AI without code. 10Data Annotation PlatformsData labeling and annotation. 11Neuromorphic AI PlatformsBrain-inspired computing platforms.

Agents, Chatbots & Decisioning

4 entries

AI applications and agents.

12Agentic AI PlatformsPlatforms for building and governing agents. 13AI Chatbot PlatformsChatbot platforms compared. 14AI Chatbot Development PlatformsTools to build chatbots. 15Decision Intelligence PlatformsDecision intelligence platforms.

Related Pages

10 entries

Neighbouring AI hubs.

16Artificial IntelligenceAI hub. 17Predictive AIPredictive AI and forecasting. 18Generative AIGenerative AI hub. 19Enterprise AIEnterprise AI hub. 20Agentic AIAgentic AI hub. 21Neuromorphic AINeuromorphic AI. 22Quantum AIQuantum AI. 23Self-Learning AlgorithmsSelf-learning algorithms. 24Large Language ModelsLanguage models directory. 25AI Governance and Runtime InspectionAI governance and runtime security.

Frequently Asked Questions

What is an AI platform?

A platform that provides the capabilities to build, deploy, operate and govern AI, such as data preparation, model training, serving, monitoring and agent orchestration.

How do MLOps, ModelOps and AIOps differ?

MLOps operationalises machine learning pipelines, ModelOps manages the lifecycle and governance of all models at enterprise scale, and AIOps applies AI to IT operations.

What is an agentic AI platform?

Software for building and managing AI agents that plan and act, with orchestration, tool access and governance; see the Agentic AI Platforms page.

Where do I find governance and security tools?

See AI Governance and Runtime Inspection Solutions for platforms that secure and govern AI.

How are these categories chosen?

They follow how organisations adopt AI, from building and operating models to deploying agents and chatbots.