Elevate Your Models with Supervised Fine Tuning(SFT)
Specialized Supervised Fine Tuning is a crucial process that enhances the performance of your AI models by leveraging high-quality, labeled data.
Read our latest white paper:
The Definitive guide to AI Training Data
Why Choose Our SFT Solutions?
SFT is an advanced machine learning technique that adapts and optimizes pre-trained AI models for specific tasks using high-quality, labeled data. Think of it as giving your AI a specialized crash course in your business domain.
Enhanced Accuracy
Fine-tuning with supervised learning significantly improves model precision, ensuring your AI solutions deliver the most accurate results.
Customizable Solutions
Tailor your models to specific tasks and domains, making them more effective and relevant to your unique needs.
Scalable Performance
We deliver enhanced accuracy, efficiency, and adaptability, allowing you to meet diverse performance demands while maintaining resource efficiency and operational speed.
We built our services on three core pillars that ensure exceptional results.
An AI-assisted Platform
Streamline workflows with our proprietary AI-assisted quality assurance, work allocation, and validation checks.
Reduce data preparation time by up to 60% compared to manual processes.
Catch up to 95% of data inconsistencies before they affect your model.
Rigorous Quality Assurance
Our comprehensive testing and validation processes guarantee reliability and accuracy.
Our multi-stage QA process catches an average of 99.5% of errors.
Continual monitoring ensures your model maintains peak performance over time.
Dedicated Expert Support
Our team of SFT specialists, with an average of 10+ years in AI and machine learning, is committed to your success.
Expect personalized guidance from the initial consultation to deployment and beyond.
Get 24/7 support to ensure your fine-tuned models always perform at their best.
What’s the Difference?
Quantifiable improvements, not just promises.
What we do 
Gen AI:
Our domain experts and Generalists power LLM model training to improve output for your end users
Model Training:
We train high-quality datasets generated through ethical human-in-loop workflows to fuel world-class AI models.
Data Collection & Labeling:
We gather and meticulously label data to create a high-quality dataset tailored to your requirements.
Evaluation & Iteration:
Continuous evaluation and iterative improvements ensure your models maintain peak performance.
Results
Accuracy Boost
> 10% increase in task-specific accuracy upon each iteration
Innovation
Averages of F1 scores >65% on complex, emerging projects
Quality Scores
>90% Quality Measures across scaled programs
Contact Us Today
You have questions. We have answers. Contact us today to talk about your next project and discover what’s possible!