Delta Lab
Delta Lab is the core workspace for AI creation within the DeltaEngine ecosystem. It provides a simple, visual, and intuitive interface, enabling users of any experience level to create, test, and deploy custom AI solutions effortlessly and without writing a single line of code.
Beta: The UI and workflows are under active development. Your feedback directly shapes the roadmap.
What is Delta Lab?
Delta Lab offers a no-code environment designed for rapid and seamless AI customization. You can build sophisticated AI workflows visually, experiment with different models and techniques, integrate custom datasets, and instantly deploy your solutions.
With Delta Lab, turning your ideas into production-ready AI is straightforward and accessible.
Customization Methods Explained
Delta Lab offers three powerful and flexible methods for AI customization, catering to different use cases and complexity levels. These methods can be mixed and matched freely within the same workflow, allowing optimal results tailored to your exact needs:
Prompting (Simple and Immediate)
Prompting provides a straightforward way to guide AI responses. By clearly defining the desired behavior in plain language, you can achieve quick, effective outcomes for tasks like summarization, content generation, or straightforward user interactions.
Example use: “Generate a brief summary of this meeting transcript.”
Retrieval-Augmented Generation - RAG (Dynamic and Accurate)
RAG enhances AI capabilities by dynamically retrieving relevant information directly from your connected databases or documents. This method ensures responses are grounded, accurate, and contextually appropriate, ideal for knowledge-based interactions.
Example use: “Answer product support questions using our internal knowledge base.”
Fine-tuning (Deep Customization and Precision)
Fine-tuning enables highly precise and domain-specific AI solutions by training models directly on your own curated datasets. This deep customization provides accuracy and consistency required for specialized applications.
Example use: “Detect fraudulent financial transactions using our historical data.”
Key Features
Visual Workflow Builder
Delta Lab’s intuitive workflow builder enables you to visually define AI behaviors by connecting logical components, adjusting parameters, and immediately viewing results. This interactive workspace accelerates experimentation and iterative refinement of your AI models.
Comprehensive Model Integration
Delta Lab supports multiple AI models, including foundational models provided by leading AI providers, specialized Delta models for domain-specific tasks, and your own custom models. Effortlessly switch or integrate external models without vendor lock-in, ensuring complete flexibility.
Automatic Dataset Creation
Simplify dataset preparation with Delta Lab’s built-in data processing. Upload raw data, documents, or URLs, and Delta Lab will automatically clean, structure, and optimize your datasets for immediate use in fine-tuning or retrieval-based tasks, significantly reducing the time spent on data management.
Version Control and Smart Routing
Delta Lab automatically saves workflow versions, allowing you to track changes, compare outputs, and revert if necessary. With Smart Routing, each AI request can be dynamically routed to the most cost-effective and efficient model, balancing cost, speed, and quality according to your defined criteria.
Instant Deployment Capabilities
Deploy AI workflows instantly through Delta Lab. Publish them as secure API endpoints, integrate them directly into your existing apps, or monetize them via the Delta Flow marketplace. All backend infrastructure complexities are automatically handled through Delta Engine, enabling smooth, worry-free scaling.
How It Works: From Idea to Deployment
Creating effective AI workflows in Delta Lab is intuitive and streamlined. Follow these clear, structured steps:
Step 1: Define Your Objective
Begin by clearly outlining the task you want your AI to perform. Identify if you need general assistance (Prompting), dynamic data retrieval (RAG), deep specialization (Fine-tuning), or a combination of these.
Step 2: Select or Integrate a Model
Choose from Delta Lab’s integrated foundational AI models, specialized Delta models, or integrate your own external model endpoint seamlessly through our unified interface.
Step 3: Connect and Prepare Your Data
Upload your data easily, and let Delta Lab automatically clean, label, and structure it. Your datasets are immediately available for use within your workflow.
Step 4: Design and Test Your Workflow
Visually configure your AI workflow on the drag-and-drop canvas. Adjust parameters, test outputs instantly, and refine your model quickly based on immediate feedback.
Step 5: Deploy and Scale
When satisfied, deploy your workflow instantly as an API or publish it directly to Delta Flow marketplace. Delta Engine automatically scales and manages infrastructure, ensuring seamless performance at any scale.
Release Status
Lab UI/UX: Beta
Dataset Creation Agent: Public Preview
RAG Pipeline: GA
Fine‑tuning: Closed Beta (by invite)
For Closed Beta access, open Lab → Feedback and submit a request.
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