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>AI Fine Tuning

Turn Your Generic AI into an Enterprise Powerhouse

Our expert LLM fine-tuning services for models like GPT-4 and LLaMA boost accuracy and cut costs, delivering AI that's perfectly tailored to your business.

Book A 30 Min Consultation

+40 % domain accuracy

-60 % training time

-50 % inference spend

What is AI Fine-Tuning?

AI Fine-Tuning means customizing a language model (like GPT) with your own data — so it understands your business, speaks your language, and delivers accurate results.

Unlike generic models, a fine-tuned AI knows your:

  • Specific of your product or service
  • Documentation and FAQs
  • Brand tone and industry terms

It’s ideal when:

  • You need consistent, domain-specific answers
  • You want more control than just prompting
  • Privacy and on-premise deployment matter

Choose right approach

  Prompting RAG Fine-Tuning
Fast ●    
Generic ●
Live Data ●
Flexible ●   
Deep Control   ● 
Private, branded   ● 

Why choose us:

in

Anna Tukhtarova – CTO

With over 15 years leading complex software modernizations, Anna is a recognized expert in Electron, WebAssembly, and high-throughput system design.

Over 10 years of experience in software development, including work with AI—even before it became mainstream.
Dedicated team of ML engineers ready to join your project and accelerate development.
Over a decade of experience in B2B and SaaS enterprises.
Security and privacy are covered by HIPAA and GDPR policies, and ensured by professional liability insurance.

Trusted by SaaS enterprises in productivity, education, finance, and healthcare.

+10

Years Of Experience

+15

Enterprise Projects Delivered

+7

Years Average Partnership

AI Model Customization Services

From raw model to production - pick the pieces you need

GPT-4 Fine-Tuning

Services

We optimize GPT-4 for your unique tasks, complete with full enterprise API integration and performance monitoring.

LLaMA 3 Model

Customization

We customize open-source LLaMA models for your needs, ensuring a cost-effective, high-performance deployment.

Custom Transformer

Model Training

We build proprietary models from scratch using your data, giving you a powerful, competitive edge.

Model Performance

Optimization

We maximize your model's speed and maintain its accuracy using advanced optimization techniques.

Training Data

Preparation

We prepare your training data with expert curation and cleaning to ensure a high-quality foundation for your model.

MLOps &

Model Deployment

e manage your end-to-end deployment with automated pipelines, monitoring, and versioning for production-ready AI.

Fine-Tuning Process

Our 5-step path from idea to live model

AI

Consultation

Assess your use case, data, and performance requirements in depth.

Data

Preparation

Clean, curate, and format training datasets for optimal model performance.
 

Model Selection &

Fine-Tuning

Choose optimal base models (e.g., GPT-4, LLaMA) and execute training with advanced techniques like LoRA.
 
 

Model

Validation

Rigorous testing against benchmarks and real-world scenarios.
 
 
 

Production

Deployment

Scalable deployment with monitoring, versioning, and maintenance.
 
 

See the Results of Our Fine-Tuning

92%

Increase your model's accuracy to an average of 92%

0%

Reduce your processing time with optimized training pipelines

$180

Lower your annual infrastructure costs through model optimization

Fine-Tuning in Action

Real client results - zero lab demos

Healthcare Diagnostic AI Model

95% diagnostic accuracy • HIPAA-compliant fine-tuned model for medical image analysis and patient triage.

01

Custom Financial Services LLM

80% faster document processing • Regulatory-compliant model for automated compliance and risk assessment.

02

Manufacturing Quality Control AI

40% defect detection improvement • Computer vision model fine-tuning for predictive maintenance.

03

Fine-Tuning Tech Stack

Field-tested tools - no vendor lock-in

GPT‑4o

Hugging Face

PyTorch

MLflow

LoRA

Kubernetes

NVIDIA A100

LLaMA 3

TensorFlow

Weights & Biases

Apache Spark

Docker

FAQs

How long does fine-tuning take?
What data do you need for training?
What if we don’t have an in-house ML team?
Can you fine-tune open-source models?
How long does the fine-tuning process take?
How is fine-tuning different from prompt engineering or RAG?

Ready to discuss your idea? Drop us a quick line! 

Schedule a Consultation