AI Model Training & Specialization
Train, fine-tune, and deploy domain-specific AI models. From data preparation and curation to production-ready deployment — we specialize models to understand your business, your terminology, and your workflows.
What we train
Full-spectrum model training and specialization — from lightweight fine-tuning to training from scratch.
LLM Fine-Tuning
Specialize open-weight LLMs (Llama, Mistral, Qwen, Phi, Gemma) for your domain. LoRA, QLoRA, and full fine-tuning with curated instruction datasets. Your terminology, your tone, your knowledge.
Embedding Models
Train custom embedding models optimized for your data domain. Improve retrieval accuracy for semantic search, RAG, and document similarity. Domain-specific vector representations.
Classification Models
Build custom classifiers for document routing, intent detection, sentiment analysis, content moderation, and multi-label categorization. Trained on your labeled data.
RLHF & Alignment
Reinforcement Learning from Human Feedback to align model outputs with your quality standards, brand voice, and safety requirements. DPO, PPO, and constitutional AI methods.
Data Curation
Prepare high-quality training datasets from your raw data. Cleaning, deduplication, format normalization, instruction generation, and quality scoring. Garbage in, garbage out — we prevent it.
Model Evaluation
Rigorous evaluation with domain-specific benchmarks, human evaluation panels, A/B testing, and automated metrics. Know exactly how your model performs before deployment.
From raw data to model in production
A structured, repeatible pipeline for training specialized AI models.
Data Collection
Collect domain data from documents, databases, APIs, and logs.
Data Curation
Cleaning, deduplication, normalization, and formatting of training data.
Base Model Selection
Choose the open-weight model best suited to your use case.
Fine-Tuning
LoRA, QLoRA, or full fine-tuning on curated datasets.
Evaluation
Benchmarks, human evaluation, A/B testing, error analysis.
Deployment
Optimization (quantization, distillation) and production deployment.
What specialized models can do
Domain-specific models outperform general AI on defined, scoped tasks.
Legal Contract Analysis
Identify clauses, extract obligations, flag risks, and classify contract types with models trained on legal corpora.
Medical NLP
Extract diagnoses, medications, procedures, and clinical entities from unstructured medical text and clinical notes.
Sentiment & Financial Analysis
Analyze earnings calls, analyst reports, and news with models optimized for financial language, terminology, and sentiment.
Multilingual Customer Support
Fine-tune models on your support history to handle customer inquiries in multiple languages with your brand voice and resolution patterns.
Code Generation & Review
Train code models on your internal codebase. Generate code in your style, follow your patterns, and review to your standards.
Document Classification
Automatically categorize incoming documents — invoices, contracts, applications, reports — into your taxonomy with high precision.
Domain-Specific Search
Custom embedding models that understand your industry vocabulary. Better retrieval for technical, scientific, or niche searches.
Content Moderation
Train classifiers optimized for your content policies. Detect harmful, misleading, or off-topic content with precision tuned to your platform's specific needs.
How we train
Production-grade training infrastructure and tooling.
Training Frameworks
Fine-Tuning Methods
Base Models
Serving & Deployment
Evaluation
Infrastructure
Ready to specialize AI for your domain?
Tell us about your data, your use case, and your quality requirements. We will design a training pipeline that delivers results.