Most businesses don't need generic AI — they need AI trained on their documents, terminology and workflows. We build domain-specific models and RAG knowledge bases using Llama, Mistral and Qwen, fine-tuned for legal, healthcare, forex and insurance.
Businesses don't want another generic chatbot. They want AI that understands their contracts, their patients, their market, their claims. That means real model training — not just a prompt wrapped around GPT-4.
We collect, clean, label and augment your training data. From messy PDFs and spreadsheets to structured instruction-following datasets ready for fine-tuning.
We fine-tune Llama, Mistral and Qwen on your domain data. LoRA, QLoRA and full fine-tuning depending on your budget, latency and accuracy requirements.
Build assistants that understand terminology, regulations and workflows unique to your field. Not retrieval on top of a generic model — truly adapted AI.
Production systems for regulated and high-stakes industries. Legal research, healthcare intake, forex analysis and insurance claims — trained and deployed end-to-end.
Contract review, clause extraction, case-law research and compliance checking. Fine-tuned on legal language and your firm's precedents.
Clinical documentation, patient intake assistants, prior-authorization support and HIPAA-aware knowledge retrieval.
Market commentary generation, technical analysis summaries, risk alerts and client-facing trading assistants trained on your data.
Claims triage, underwriting assistance, policy Q&A and fraud-flagging trained on your forms, rules and historical claims.
Llama 3.1 and 3.2 for high-performance fine-tuning. Strong multilingual and long-context performance with open weights and flexible deployment.
Mistral 7B, Mixtral and Codestral for efficient fine-tuning and MoE architectures. Excellent for domain adaptation with smaller datasets.
Alibaba's Qwen 2.5 series — outstanding multilingual, coding and reasoning capabilities. Cost-effective fine-tuning for global and technical use cases.
Retrieval-Augmented Generation with semantic chunking, reranking and hybrid search. Answers grounded in your documents, not model hallucinations.
Pinecone, Weaviate, Chroma, pgvector and Milvus for billion-scale semantic search and long-term knowledge memory.
PyTorch, Hugging Face Transformers, PEFT, TRL, Unsloth and vLLM for training, quantization, serving and optimization.
We define the use case, success metrics and data sources. Legal, healthcare, forex or insurance — we map the domain requirements first.
Collect, clean, label and augment your data into training-ready formats. We build evaluation sets that prove the model works before launch.
Fine-tune Llama, Mistral or Qwen with the right technique — LoRA, QLoRA or full fine-tuning. RAG indexing runs in parallel.
Serve via API, embed in your product or self-host. We monitor drift, retrain periodically and keep your knowledge base current.
No vendor lock-in. We train and deploy Llama, Mistral and Qwen so you own your model weights and control your inference costs.
We combine the best of both worlds: fine-tuned behavior and tone with RAG grounding for facts. More accurate, cheaper and easier to update.
Self-hosted training and inference options for HIPAA, GDPR and financial regulations. Your data never trains public models without consent.
Every model is evaluated on real test sets with domain-specific metrics. We don't ship until accuracy, latency and safety targets are met.
Qwen and Llama handle dozens of languages natively. Build localized AI for your global teams and customer bases without rebuilding from scratch.
Your knowledge base and model drift are monitored. We schedule retraining, ingest new documents and keep your AI accurate as rules change.
Focused RAG or small fine-tuning project. Ideal for proving domain-specific AI.
Advanced fine-tuning with RAG, evaluation pipelines and product integration.
Multi-model, industry-specific AI with custom infrastructure and SLA.
AI model training teaches a model to perform a specific task. Fine-tuning adapts a pre-trained foundation model like Meta Llama, Mistral or Qwen to your domain by training it on your curated data, so it speaks your language, follows your formats and understands your industry context.
Tell us where you want to incorporate and which package fits. We'll come back with a checklist and a timeline — usually within the same business day.