Best AI Tools to Build AI

Top Paid AI Tools for Creating AI

OpenAI Platform

OpenAI’s platform provides a powerful and flexible environment for building AI tools without needing to train models from scratch. Developers can fine-tune GPT models, create Custom GPTs with personality and memory, and use the Assistants API to integrate multimodal reasoning, tools, and functions. It's particularly well-suited for building AI agents, productivity bots, customer-facing applications, and workflow automations. With usage-based pricing, it scales well for both solo developers and enterprise-grade apps.

Vertex AI

Vertex AI by Google Cloud is a robust platform for building, training, and deploying AI models. It supports AutoML, custom training, and foundation model integration, including the Gemini family. Users can manage datasets, build pipelines, access model evaluation tools, and deploy scalable endpoints — all within Google’s cloud infrastructure. Vertex AI is ideal for enterprises and ML engineers who want full-stack control with reliable cloud support.

Scale AI

Scale AI is a data infrastructure company focused on high-quality training and evaluation data for AI models. It offers tools for human-in-the-loop data labeling, red-teaming, safety testing, and LLM evaluation — especially for teams working on foundational models or safety-critical AI. Its services are widely used in industry and government to prepare large datasets for training or to benchmark model outputs. Pricing is custom based on volume and complexity.

Gretel AI

Gretel helps developers and organizations generate synthetic data that mirrors real datasets without compromising user privacy. This is especially useful when training models on sensitive or regulated data, such as in finance, healthcare, or education. Gretel allows teams to augment small datasets or build privacy-preserving AI pipelines using statistically sound synthetic data. It offers APIs, dashboards, and SDKs starting from $25/month, making it accessible even to smaller teams.

Weights & Biases

Weights & Biases (W&B) is a favorite among machine learning engineers for managing experiments, hyperparameters, datasets, and model versions. It offers live dashboards, collaborative logging, and seamless integrations with tools like PyTorch, TensorFlow, and Hugging Face. W&B helps teams accelerate research, debug issues visually, and compare model runs across projects. The free tier is generous, and pro plans unlock more collaborative and enterprise features.

Top Free AI Tools for Creating AI

LangChain

LangChain is the most widely adopted framework for building AI agents and LLM-based workflows. It allows developers to chain together LLM calls, tools, memory, retrievers, and more — enabling sophisticated multi-step reasoning. Common use cases include retrieval-augmented generation (RAG), autonomous agents, and decision trees powered by language models. It’s open source, actively maintained, and used in both research and production.

Hugging Face

Hugging Face is the go-to platform for open-source AI development. It hosts thousands of pretrained models (including BERT, LLaMA, Whisper, and more), along with datasets, training scripts, and community-built applications. Developers can fine-tune models, use inference APIs, and collaborate in open Spaces. It supports both cutting-edge research and practical deployment with robust documentation and an active user base.

AutoGen

AutoGen is a framework developed by Microsoft for building multi-agent systems that collaborate to solve tasks. It supports task planning, reflection, critique, and autonomous retries between agents. Although still in active development, it has gained traction in the research community for its flexible architecture and ability to simulate complex, multi-step reasoning. It’s particularly useful for prototyping AI research agents and experimenting with advanced coordination logic.

Flowise AI

Flowise is a visual, no-code interface for building LangChain workflows. Users can drag and drop elements like LLMs, retrievers, tools, and logic blocks to construct functional AI apps without writing code. It's ideal for educators, prototypers, and non-technical teams. Flowise runs locally or on your own server, giving users more control over data privacy and deployment.

OpenPipe

OpenPipe is a tool designed to help developers fine-tune models efficiently and affordably. It caches previous OpenAI completions and uses them to train adapters that mimic the original model’s behavior, reducing ongoing API costs. While still in beta, it’s a promising tool for startups and indie devs who want to personalize AI behavior without incurring the full cost of frequent API calls.