Gooey.AI: Low-Code Platform for AI Workflows & APIs
Gooey.AI is a low-code platform that lets you discover, customize, and deploy AI workflows across leading generative models with one unified billing system.
Overview
Gooey.AI simplifies the chaos of working with multiple AI providers by giving developers and organizations a single low-code environment to build, tweak, and deploy AI-powered workflows. Instead of juggling separate accounts and billing for GPT-3, DALL-E, Stable Diffusion, voice generators, and niche APIs like SEO tools or social profile lookups, Gooey.AI consolidates access under one unified billing layer, making experimentation and production deployment far less painful.
Beyond simple model access, the platform empowers users to turn workflows into ready-to-use APIs that plug directly into websites, apps, and messaging platforms like WhatsApp and Slack. With built-in support for retrieval-augmented generation (RAG) copilots, synthetic data pipelines, and QnA evaluation tools, Gooey.AI is equally suited for quick prototypes and more sophisticated enterprise-grade AI deployments. Its blend of open-source and private model access gives teams flexibility to balance cost, performance, and data control.
Whether you're a startup testing an AI chatbot idea, an NGO building multilingual support tools, or an enterprise formalizing internal AI copilots, Gooey.AI positions itself as the connective tissue between raw AI capability and real-world application.
Capabilities & Features
- Low-code
- AI workflows
- Generative AI
- API integration
- RAG
- Copilot
- No-code AI
- WhatsApp bot
- Slack integration
- Unified billing
- Synthetic Data
- AI Model Evaluation
Core Features
- Low-code AI workflow builder
- Unified billing across multiple AI models and third-party APIs
- One-click integrations with WhatsApp, Slack, and other messaging platforms
- Access to both private and open-source AI models
- Retrieval-Augmented Generation (RAG) copilot creation
- Synthetic data pipeline generation
- Golden QnA evaluation for testing AI accuracy
Best For
- Developers
- Startups
- Enterprises
- NGOs
- Government organizations
- AI consultants
Pros
- •Consolidates billing for numerous AI models and APIs into one platform
- •No-code/low-code approach speeds up prototyping and deployment
- •Built-in messaging integrations simplify chatbot and support tool creation
- •Flexible access to both proprietary and open-source AI models
- •Enterprise-ready features like RAG copilots and synthetic data pipelines
Cons
- •Credit-based pricing can become costly at scale without careful monitoring
- •Custom Enterprise pricing may be opaque for smaller organizations budgeting in advance
- •Low-code interface may still require technical knowledge for advanced workflow customization
- •Reliance on third-party AI models means performance can vary based on external providers
How to Use
1. Sign up using Google, Apple, GitHub, or a verified phone number to claim 500 free credits.
2. Browse the library of pre-built workflows or start building your own using the no-code/low-code interface.
3. Connect the workflow to your preferred AI models and supporting APIs (e.g., generative text, image, voice, SEO, or social lookup tools).
4. Tweak parameters, prompts, and logic to fit your specific use case.
5. Test the workflow directly on the web interface or via integrations like WhatsApp and Slack.
6. Deploy the finished workflow as an API endpoint to embed into your own website or application.
Frequently Asked Questions
Connect & Contact
Pricing
Gooey.AI uses a pay-as-you-go credit system starting with 500 free credits, scaling to a $399/mo Business plan with 10,000 credits, and custom Enterprise pricing typically ranging from $25,000 to $500,000 annually.
Pricing data is provided as a summary. Visit the vendor website for full tier details.