Filter the directory by category, pricing, or platform, or search by what you want to do. To get a complete recommendation across a whole workflow, describe your goal in the planner and we’ll build an AI stack for you.
How are AI tools rated on RightAIChoice?
Each tool is scored on features, pricing, integrations, and real-world signals — independently, never pay-for-placement.
Are these AI tools free?
Many have a free tier. Each tool lists its current pricing, and you can filter the directory to free tools.
How many AI tools are listed, and how often is it updated?
The directory tracks 7,500+ AI tools and is refreshed continuously as pricing, features, and new tools change.
1,000+ pre-authenticated toolkits for production AI agents
Best for: Developers building AI agents that need to act on external apps with per-user auth, Teams shipping production agents requiring real-time event triggers from SaaS tools
Observe, evaluate, and deploy reliable AI agents at scale.
Best for: Teams building complex, multi-step agents requiring detailed debugging and iteration, Enterprises needing production-grade deployment with checkpointing and human-in-the-loop
Real-time face-to-face video AI agents with emotional intelligence.
Best for: Developers building real-time conversational video AI agents using WebRTC APIs, Enterprises deploying human-like AI for training, sales, or customer support
Agentic AI platform built exclusively for banking customer and employee experiences.
Best for: Banks and credit unions automating customer service across voice, chat, and digital channels, Financial institutions aiming to reduce abandonment rates and improve containment while staying compliant
Build loyal, auditable AI agents with open-source modular tools
Best for: Developers building complex multi-agent pipelines with fine-grained control, Power users automating and orchestrating coding agents in parallel
Low-code RPA & AI for end-to-end business process automation.
Best for: Microsoft-centric organizations wanting to automate Office 365 and Power Platform workflows., Low-code developers needing to quickly build automated approval processes.
Spec-driven AI coding with property-based testing for verified code
Best for: Developers building complex, multi-step features with high correctness requirements, Teams wanting structured specifications and automated verification in CI/CD
Collaborative LLM dev platform for building, testing, and monitoring AI features.
Best for: Teams building LLM-powered features needing unified prototyping, evaluation, and monitoring, Data scientists and ML engineers running automated evals and comparing model performance
AI-powered DXP for content, experimentation, and commerce growth.
Best for: Enterprise marketing teams needing AI-powered content and personalization at scale, Digital leaders optimizing websites for conversions and engagement across multiple sites