Fine-Tune AI Models, Your Way

Adapt and augment AI models with your data for your industry, use case, or business needs.

Fine-Tuning on FlexAI

Fine-tune Hugging Face, foundation, open-source, and custom models with your data for higher accuracy and domain-specific performance. Our data scientists can collaborate with you to refine your models and achieve the best results.

Once your model is ready, seamlessly deploy it with FlexAI Inference—keeping full ownership and flexibility to run it anywhere.

Domain-Specific AI Customization

Achieve effective fine-tuning with optimized workflows.

Focus on accuracy, precision, and F1 scores while we simplify the infrastructure.

Evaluate, iterate, and optimize faster with proven fine-tuning recipes.

Fine-Tuning for LLMs & RAG

Hybrid fine-tuning – Optimize compute across cloud and on-prem.

RAG integration – Improve retrieval-augmented generation performance.

Support model interoperability, data augmentation, and transfer learning.

Smart Scheduling and Orchestration

Intelligent compute scaling – Use only what you need, when you need it.

Hardware-agnostic execution – NVIDIA, AMD, and Intel accelerator support.

Seamless multi-cloud deployment – AWS, Azure,GCP, and on-prem.

Fine-Tune Smarter, Deploy Faster

AI should work for your business—not the other way around. FlexAI makes fine-tuning effortless, cost-effective, and scalable, ensuring your models deliver peak performance.