- Startups & SMEs: Teams needing lean AI solutions without extensive engineering overhead.
- Researchers & Educators: Users needing accessible model training workflows for experimentation or teaching.
- Enterprises in Regulated Sectors: Organizations requiring on-prem or edge deployment for privacy compliance (e.g., healthcare, IoT).
- Legal, SaaS & Support Teams: Groups aiming to tailor models for legal briefs, document analysis, or customer query answering.
- FinTech & Industrial Engineers: Professionals building custom inference models for fraud detection, maintenance, or anomaly alerts.
How to Use It?
- Upload Your Dataset: Drag in your data files or connect storage sources.
- Interact with the AI Copilot: Describe your goal in plain language and let the copilot propose a training flow.
- Use the No-Code Canvas: Visually arrange data processing, training nodes, and model settings.
- Train with One Click: Launch the model training—monitor progress visually.
- Deploy or Export: Push to Hugging Face or download quantized models for edge usage.
- Visual No-Code Workflow: Build custom models through a drag-and-drop interface—no code required.
- AI-Guided Setup: The copilot converts plain-language goals into complete training pipelines.
- Quantized Model Export: Produces compact, efficient models suitable for offline or edge deployment.
- Hugging Face Integration: One-click deployment and version control through Hugging Face’s platform.
- Domain-Specific Use Cases: Tailors to needs across IoT, healthcare, legal, support, and more.
- Enables rapid, accessible model fine-tuning.
- No-code interface makes AI approachable for non-technical users.
- Efficient outputs—quantized models are lightweight and fast.
- Seamless Hugging Face integration streamlines sharing.
- Adapts to privacy-conscious deployment needs (e.g. on-prem or edge).
- Support for large-scale, complex model architectures may be limited.
- Dependence on input data quality for model performance.
- Advanced fine-tuning options are less flexible for expert users.
- Learning curve in crafting effective prompts for the copilot.
- Limited public details on pricing and usage tiers.
Custom
Custom Pricing
- Looks Free(as it is in BETA version)
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Reviews
Rating Distribution
Average score
Popular Mention
FAQs
A no-code platform for training and deploying small language models with visual tools.
No—the entire model building process is drag-and-drop and AI-assisted.
Yes, you can drag in datasets or connect data sources.
A smaller, optimized version of your model that runs efficiently on devices like mobile or on-prem servers.
Yes—you can push your trained models directly to Hugging Face for hosting and management.
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Editorial Note
This page was researched and written by the ATB Editorial Team. Our team researches each AI tool by reviewing its official website, testing features, exploring real use cases, and considering user feedback. Every page is fact-checked and regularly updated to ensure the information stays accurate, neutral, and useful for our readers.
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