# Welcome to Joinable's AI Workforce Platform
Joinable's mission is to *increase AI's economic opportunity for all.* Our belief is that AI should be beneficial to humans and accessible to everyone.
The way that we believe that we can help level the playing field for AI is to serve both AI Builders and AI Contributors. AI Builders can be technical or non-technical so long as they are seeking to develop new AI Systems or capabilities. The issue is that a majority of AI projects today fail to meet expectations due to issues around accuracy, latency, user experience, or other issues. While it can be fairly straight forward to develop a functional AI project, to get it to be truly effective and reliable is what we refer to as the "last mile problem" in AI.
We believe that the best way to solve this last mile problem is to combine technology, human input, verification, and properly aligned incentives to achieve more effective and useful AI systems.
Joinable's **AI Workforce Platform** is the end-to-end solution to the last mile AI problem consisting of:
* Data processing infrastructure to take raw inputs and convert them to AI-ready data at scale
* Leading AI models for highly performant AI inference
* The largest community of AI Contributors to provide feedback, testing, data enrichment, and assistance with AI evaluations and AI Supervision
* AI Workforce certification, verification and recording on-chain of all units of work, points + rewards system for incentiving top quality AI Contributions
To begin taking advantage of the platform as an AI Builder, our platform enables you to leverage your proprietary data and turn it into an AI system as easily as uploading some files via our no-code Dashboard or using our API for fully customized AI development compatible with our AI Contributor workforce.
**How our platform works:**
The foundation of our customizable AI Workforce Platform is what we call "**RAG-in-a-Box**". RAG-in-a-Box is your all-in-one platform for building, testing, and improving AI applications on your own data.
It’s designed to help you go from idea → prototype → evaluation → production — faster than ever.
Whether you’re experimenting with retrieval-augmented generation (RAG), testing how different language models perform, or working with contributors to refine your data and outputs, RAG-in-a-Box makes the process seamless.
#### 🚀 What You Can Do with RAG-in-a-Box
* **Launch and prototype AI apps on your data**\
Build chatbots, assistants, or internal tools powered by retrieval-augmented generation. Upload your documents or connect data sources — RAG-in-a-Box takes care of indexing, retrieval, and serving.
* **Run evaluations (evals)**\
Compare how different models perform on your specific data and use cases. Measure accuracy, relevance, and quality before choosing what to deploy in production.
* **Collaborate with contributors**\
Invite teammates, domain experts, or a broader community of evaluators to review, annotate, and score model outputs. Use their feedback to improve quality, create better datasets, and accelerate iteration.
* **Deploy and integrate**\
Once you’ve found what works, deploy your AI app directly from the platform or integrate it into your existing systems through the API.
#### Why “RAG-in-a-Box”?
Because it gives you everything you need to operationalize retrieval-augmented generation in one place:
* Data ingestion and indexing
* Model orchestration
* Evaluation and comparison tools
* Contributor management and feedback workflows
* APIs and UI components for fast deployment
No complex setup or infrastructure required — just connect your data and start building.
#### 🏁 Get Started
* [Quickstart](https://joinable.gitbook.io/joinable-api-docs/getting-started/quickstart) → Build your first AI app
* [Evals](https://joinable.gitbook.io/joinable-api-docs/getting-started/evals-and-human-feedback) → Test and compare LLM models on your data, collect human feedback data
* [API Reference](https://joinable.gitbook.io/joinable-api-docs/basics/markdown) → Explore available endpoints
#### Perfect For
* **Developers and startups** who want to rapidly prototype and launch AI apps powered by their own data.
* **Data and research teams** exploring how different models perform on proprietary or domain-specific datasets and usecases.
* **Organizations** that need to evaluate and compare large language models before committing to production or enterprise rollout.
* **Communities and contributor networks** that want to improve AI systems and earn through open evaluation and feedback on [vote.joinable.ai](https://vote.joinable.ai/).
### Jump right in
