Best AI Development Platforms for Meta AI

Find and compare the best AI Development platforms for Meta AI in 2025

Use the comparison tool below to compare the top AI Development platforms for Meta AI on the market. You can filter results by user reviews, pricing, features, platform, region, support options, integrations, and more.

  • 1
    Lamatic.ai Reviews

    Lamatic.ai

    Lamatic.ai

    $100 per month
    A managed PaaS that includes a low-code visual editor, VectorDB and integrations with apps and models to build, test, and deploy high-performance AI applications on the edge. Eliminate costly and error-prone work. Drag and drop agents, apps, data and models to find the best solution. Deployment in less than 60 seconds, and a 50% reduction in latency. Observe, iterate, and test seamlessly. Visibility and tools are essential for accuracy and reliability. Use data-driven decision making with reports on usage, LLM and request. View real-time traces per node. Experiments allow you to optimize embeddings and prompts, models and more. All you need to launch and iterate at large scale. Community of smart-minded builders who share their insights, experiences & feedback. Distilling the most useful tips, tricks and techniques for AI application developers. A platform that allows you to build agentic systems as if you were a 100-person team. A simple and intuitive frontend for managing AI applications and collaborating with them.
  • 2
    Devs.ai Reviews

    Devs.ai

    Devs.ai

    $15 per month
    Devs.ai allows users to create unlimited AI Agents in minutes, without the need for credit card information. It allows users to choose from a variety of AI models, including those from Meta, Anthropic OpenAI, Gemini and Cohere. Devs.ai is a low/no code solution that allows users to create AI agents tailored to their business or clientele. Devs.ai, which emphasizes enterprise-grade governance and maintains meticulous oversight and control of AI implementations, ensures that organizations are able to build AI using the most sensitive data. The collaborative workspace encourages seamless teamwork and allows teams to gain new insight, unlock innovation, increase productivity, and more. Users can train AI using proprietary assets in order to derive unique insights.
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