Custom LLM Solutions
Your models, your infrastructure, your competitive moat. Train specialized models on decades of proprietary research and deal data to analyze sensitive strategies on-premises without external API risks or data leakage.
Ideal For Teams Who:
• Analyze sensitive positions and proprietary strategies that cannot touch external APIs.
• Operate in specialized sectors where GPT-5 lacks domain-specific training data.
• Have decades of historical research, trades, and deal data sitting unused.
• Need sub-100ms inference for real-time applications that API latency cannot support.
Performance Metrics:
• 15-40% accuracy improvement on domain-specific benchmarks vs GPT-5.
• 50-90% lower inference costs for your specific tasks vs API-based solutions.
• Zero data leakage risk (models deployed entirely on your infrastructure).
• Model weights fully owned with ongoing retraining pipelines as data evolves.
Deployment Timeline:
• Week 1-2: Data audit and high-value training signal identification.
• Week 3-4: Compute provisioning and base model selection (Llama 3, Mistral).
• Week 5-10: Pre-training or fine-tuning (2-8 weeks depending on model size).
• Week 11-12: Evaluation on your benchmarks, deployment scripts, and documentation handoff.
Ready to Discuss Your Requirements?
Schedule a 20-minute confidential call. Come with questions about your specific use cases. Leave with a preliminary architecture proposal.