Custom LLM Solutions
Own your AI. Fine-tune models on your data, deploy privately, and eliminate per-token API costs—with full data sovereignty.
Stop paying per-token API fees and sending sensitive data to third parties. We fine-tune open-source LLMs (Llama 3.1, Mistral, Qwen) on your data, optimized for your domain, deployed in your infrastructure. Superior accuracy for your use case, 10-50x cost savings at scale, and complete data privacy.
Domain Expertise
Trained on your industry data
Full Privacy
Data never leaves your infrastructure
Cost Efficient
No per-token fees at scale
Fast Inference
Optimized for your hardware
- Superior domain accuracy — 15-30% improvement over generic models on specialized tasks
- Full data privacy — Training data and inference never leave your infrastructure
- Cost-effective at scale — Break-even at 1-10M tokens/month, 50x savings at 1B tokens/month
- No API rate limits — Process millions of requests without throttling
- Proprietary model ownership — You own the fine-tuned weights forever
- Optimized for your hardware — Tuned for your specific GPU/CPU infrastructure
Legal Document Analysis
Fine-tuned Llama 3.1 70B on 50,000 legal contracts and case law. Model identifies clauses, extracts key terms, flags risks—achieving 92% accuracy vs. 67% for generic GPT-4. Deployed on-premise for client confidentiality.
Medical Records Processing
Mistral 7B fine-tuned on medical terminology and EHR data. Extracts diagnoses, medications, procedures with 95% accuracy. Processes 100,000 records/day at $0.0001/record vs. $0.02 with OpenAI—200x cost savings.
Financial Report Generation
Qwen 72B trained on 10 years of financial statements and analyst reports. Generates earnings summaries, investment memos, risk assessments in house style. Saves 20 hours/week for research team.
Ready to build a custom model for your domain? Let's discuss your data and requirements.
Start ProjectSee Custom Models