Effortlessly Create Machine Learning Models with Teachable Machine
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Teachable Machine

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Motion Capture
Generative Code
Pricing model
Free
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Teachable Machine is an online tool that allows users to swiftly and effortlessly build machine learning models without the need for coding. It offers flexibility by enabling users to utilize files or capture examples in real time. This tool can classify images, audio, and poses, and the models generated can be exported for implementation in websites, applications, and beyond.
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Paid
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Motion Capture
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MOVE Ai
Move.ai empowers creators to add motion to digital worlds on a large scale by utilizing proprietary artificial intelligence software that extracts high-quality motion from any video source. The company enhances creativity and digital expression by offering tools to develop content for digital spaces. Additionally, they provide motion licensing services.
Freemium
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Automation & Agents Generative Code
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Spacesheep
Spacesheep is a collaborative workspace powered by AI. AI agents create visual documents, dashboards, designs, and simple applications based on a single command. Teams can leave comments directly on the workspaces, tag the AI for real-time edits, and collaborate simultaneously as changes are displayed for everyone. The platform connects with well-known AI tools like ChatGPT, Claude Code, Cursor, Codex, and Grok, and all contributions are published in a shared space. Each workspace and version updates automatically to Google Drive or GitHub, ensuring that teams maintain complete control over their data.
Open Source
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Generative Code Automation & Agents
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Zeroshot
Zeroshot is a tool with open-source code that manages coding agents through a structured multi-agent graph. This setup ensures that no single agent can automatically approve its own generated code. The tool operates Claude Code, Codex, or GitHub Copilot in dual roles: as the primary code creators and as independent reviewers. Any errors are processed through a controlled loop to rectify them before final output is provided. Users have the flexibility to adjust the graph's structure, allocate various models to different nodes, and store configurations as reusable settings. Zeroshot facilitates local operation, supports self-hosted Docker environments, and offers a cloud service for team queues and long-term run history storage.