Training Data Preparation
01Data collection, cleaning, deduplication, formatting, and augmentation to create high-quality fine-tuning datasets.
Fine-tuning
Make AI speak your language
Fine-tune foundation models on your domain data for specialized performance that general-purpose AI cannot match — better accuracy at lower cost.
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Response timeCustom fine-tuning that transforms general AI into domain experts
General-purpose LLMs are impressive but often miss the nuance of your domain. Fine-tuning creates models that understand your terminology, follow your formats, and match your quality standards.
Fine-tuning can reduce inference costs by 5-10x while improving output quality — smaller models fine-tuned on your data often outperform larger general models for specific tasks.
We handle the complete fine-tuning lifecycle: training data preparation, annotation, model selection, training, evaluation, and deployment with A/B testing against baseline models.
What we offer
Key capabilities
Comprehensive solutions tailored to your business objectives.
Supervised Fine-tuning
02Instruction-tuning and output alignment using your curated examples for consistent, domain-specific behavior.
RLHF & DPO
03Reward model training and preference optimization for outputs that match human quality judgments.
LoRA & Efficient Methods
04Parameter-efficient fine-tuning that achieves near-full-finetune quality at a fraction of the compute cost.
Evaluation & Benchmarking
05Automated evaluation suites comparing fine-tuned models against baselines on your domain-specific test sets.
Continuous Improvement
06Iterative fine-tuning with production feedback loops that improve model quality over time.
Free consultation
A no-commitment 30-minute call. We analyze your project and propose solutions — before you spend a penny.
Transparent process
Fixed pricing agreed upfront, weekly progress reports, and full code ownership from day one.
Support guarantee
60 days of free post-launch support. Bug fixes, optimizations, and technical assistance included.
Our process
How we work
A proven workflow that delivers predictable outcomes on every project.
01
Data Assessment
Evaluate your existing data, define fine-tuning objectives, and plan the dataset creation strategy.
02
Dataset Creation
Curate, annotate, and validate training examples that teach the model your domain knowledge.
03
Training & Evaluation
Fine-tune selected models, run evaluation benchmarks, and compare against baseline performance.
04
Deploy & Iterate
Deploy the fine-tuned model with A/B testing against the baseline and continuous improvement feedback loops.
Project delivered
Don't wait for the perfect moment
Every day without the right technology is a day of lost opportunity
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No commitment · 30 min
Tech stack
Tools we use
OpenAI
Hugging Face
LoRAAxolotl
Weights & BiasesvLLMPEFT
DeepSpeedFAQ
Frequently asked questions
Answers to the most common questions about this service.
01When should we fine-tune vs use prompting?
Fine-tune when you need consistent formatting, domain terminology, cost reduction, or privacy. Use prompting for flexibility and rapid iteration.
02How much training data do we need?
As few as 100-500 high-quality examples can produce significant improvements. 1,000-10,000 examples for production-quality models.
03How much does fine-tuning cost?
OpenAI fine-tuning starts at $25-100 for small models. Open-source fine-tuning with GPU rental $200-2,000 depending on model size and data volume.
04Can we fine-tune open-source models?
Yes. We fine-tune Llama, Mistral, and other open-source models for maximum privacy and control.
05How long does fine-tuning take?
Small models: hours. Large models: 1-3 days. The dataset preparation typically takes 1-2 weeks.
Domain-specific AI through expert fine-tuning
Fine-tuning transforms general AI into a specialist that understands your business inside and out.
We ship fine-tuned models behind APIs, rate limits, and monitoring like any other production service — tuned to your formats and terminology.
We bring ML engineering rigor to fine-tuning — proper train/test splits, evaluation metrics, and deployment practices that ensure reliability.
Start now
Ready to outpace the competition?
Start with a free 30-minute consultation. No contracts, no commitments — just a focused conversation about your project.
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