Taxonomy Explorer¶

This page provides a comprehensive overview of our AI industry taxonomy, including detailed descriptions of each sector and subsector.

INF – AI Infrastructure ¶

Core infrastructure and foundational technologies that enable AI development and deployment. Includes hardware, cloud services, data infrastructure, security tools, and development frameworks.

INF.CMP – AI Compute Hardware ¶

Specialized hardware and computing systems designed for AI workloads, including GPUs, TPUs, and other AI accelerators. Enables efficient training and inference of AI models.

INF.CLD – Cloud & Edge Infrastructure ¶

Cloud platforms and edge computing solutions optimized for AI workloads. Provides scalable computing resources and deployment environments for AI applications.

INF.DAT – Data Infrastructure ¶

Tools and platforms for data collection, storage, processing, and management. Essential for training and operating AI systems at scale.

INF.SEC – AI Security & Observability ¶

Solutions for securing AI systems, monitoring model performance, and ensuring reliable operation of AI applications in production.

INF.TLS – AI Dev Tools & Frameworks ¶

Development frameworks, libraries, and tools that streamline the creation and deployment of AI applications. Includes ML frameworks, model development tools, and deployment platforms.

MOD – AI Models & Platforms ¶

Core AI models, platforms, and services that power AI applications. Includes foundation models, model APIs, repositories, and optimization tools.

MOD.FND – Foundation Models ¶

Large-scale AI models trained on broad data that can be adapted to various tasks. Includes language models, vision models, and multimodal models.

MOD.API – Model APIs & Serving ¶

Services and platforms that provide access to AI models through APIs and handle model deployment, scaling, and serving.

MOD.HUB – Model Hubs & Repositories ¶

Platforms for sharing, discovering, and collaborating on AI models. Includes model marketplaces and open-source repositories.

MOD.CMP – Model Compression & Optimization ¶

Tools and techniques for optimizing AI models for efficiency, including quantization, pruning, and knowledge distillation.

APP – AI Applications & Services ¶

End-user applications and services that leverage AI to solve specific problems or provide value in various domains. Includes both consumer and enterprise solutions.

APP.AGT – Autonomous Agents ¶

AI systems that can operate independently to achieve specific goals. Includes virtual assistants, autonomous vehicles, and robotic systems.

APP.ENT – Enterprise Automation ¶

AI solutions for automating business processes, improving efficiency, and enabling data-driven decision making in enterprises.

APP.HLT – Healthcare AI ¶

AI applications in healthcare, including diagnostic tools, treatment planning, drug discovery, and patient care management.

APP.ECM – eCommerce & Personalization ¶

AI solutions for e-commerce, including recommendation systems, personalization engines, and customer experience optimization.

APP.RBT – Robotics & IoT ¶

AI-powered robotics systems and IoT applications that combine hardware and software for physical world interaction.

APP.EDU – Education Technology ¶

AI applications in education, including adaptive learning systems, educational content generation, and student performance analytics.

APP.FIN – Financial Services & FinTech ¶

AI solutions for financial services, including fraud detection, risk assessment, algorithmic trading, and financial planning.

APP.MKT – Marketing & Advertising ¶

AI tools for marketing and advertising, including customer segmentation, campaign optimization, and content generation.

APP.CRE – Creative & Content Generation ¶

AI systems for creative tasks, including text generation, image creation, music composition, and video production.

GOV – AI Governance & Ethics ¶

Tools, frameworks, and services for ensuring responsible AI development and deployment. Includes auditing, fairness, privacy, safety, and policy solutions.

GOV.AUD – AI Auditing & Compliance ¶

Tools and services for auditing AI systems, ensuring compliance with regulations, and maintaining documentation and traceability.

GOV.FAI – Fairness & Bias Mitigation ¶

Solutions for detecting and mitigating bias in AI systems, ensuring fair treatment across different demographic groups.

GOV.PRI – Privacy & Data Protection ¶

Tools and frameworks for protecting privacy in AI systems, including data anonymization, federated learning, and privacy-preserving AI.

GOV.SAF – Safety & Risk Management ¶

Solutions for ensuring AI system safety, managing risks, and preventing harmful outcomes in AI applications.

GOV.POL – Policy & Regulatory Frameworks ¶

Tools and services for implementing and complying with AI policies and regulations, including governance frameworks and compliance solutions.