How FineTun AI Works

FineTun AI simplifies the complexity of fine-tuning large language models by offering a seamless no-code platform that lets anyone from technical teams to non technical operators train and deploy custom AI models in minutes.

1

Connect or Upload Your Dataset

Upload your data in any format—PDFs, CSVs, Notion exports, URLs, and more. We support full document management with versioning and structure preservation.

2

Select Your Model

Choose from a variety of powerful open-source foundation models, or plug in your own model via API key.

3

Tune Your Settings

Adjust training parameters with ease through our intuitive Model Training Interface, or go with our recommended defaults. We support full fine-tuning, few-shot learning, instruction tuning, RLHF, and more.

4

Train Your Model

With just one click, launch the training process. FineTun AI handles everything—data preprocessing, training orchestration, and optimization—behind the scenes.

5

Deploy Instantly

After training, deploy your model directly via API or integrate it into your workflow. Our Visual Workflow Builder makes it easy to connect your model to any app or service.

Key Benefits

No-Code, Fully Visual

Build, train, and deploy models without writing a line of code. Our intuitive interface lets you upload data, configure settings, and deploy models with simple clicks and visual tools.

  • Visual Workflow Builder for connecting models to apps
  • Intuitive Model Training Interface
  • Click-to-deploy functionality
  • User-friendly data management

Enterprise-Ready

Designed for startups and SMEs, with support for secure APIs, compliance, model versioning, and private hosting options to meet your security requirements.

  • Secure environment for sensitive data
  • Model versioning and historical tracking
  • Compliance with industry standards
  • Private hosting options for enterprise clients

All-in-One Platform

From data ingestion to deployment, we handle the full fine-tuning lifecycle in one cohesive platform without the need for multiple tools or services.

  • End-to-end workflow from upload to deployment
  • Built-in data preprocessing capabilities
  • Integrated deployment and hosting
  • Unified dashboard for all AI operations

Flexible & Scalable

Use our preloaded open-source models like LLaMA, Mistral, and Falcon, or bring your own foundation model via API key for maximum flexibility.

  • Support for multiple open-source LLMs
  • BYOM (Bring Your Own Model) capability
  • Scalable infrastructure that grows with your needs
  • Adaptable to various use cases and domains

Advanced Techniques, Simplified

Access cutting-edge AI methods including full fine-tuning, parameter-efficient fine-tuning, transfer learning, RAG (Retrieval-Augmented Generation), and more.

  • One-click RAG implementation with vector search
  • Parameter-efficient fine-tuning options
  • Multiple training optimization techniques
  • RLHF and instruction tuning capabilities

Cost-Effective Solution

Reduce AI implementation costs by up to 70% compared to custom development teams while still getting enterprise-grade capabilities and support.

  • No infrastructure management costs
  • Reduced development time and resources
  • Predictable pricing models
  • Eliminate need for specialized ML engineers

Supported Data Formats

FineTun AI supports a wide range of data formats to ensure flexibility and ease of use:

Documents

  • PDFs
  • DOCX
  • Plain text files

Spreadsheets

  • CSV
  • Excel

Structured Data

  • JSON
  • XML

Web Content

  • URLs
  • Notion exports

Databases

  • PostgreSQL
  • MySQL
  • MongoDB
  • Local-hosted databases

Who is FineTun AI for?

Startups and SMEs

Who want tailored AI without the complexity or need for large development teams.

Product Teams

Needing fast deployment of domain-specific LLMs to enhance their applications.

Researchers

And developers exploring new applications for AI without infrastructure complexity.

Non-Technical Users

Looking for a user-friendly way to leverage AI technology without coding experience.