01 / Capabilities
Deep Infrastructure Services
From custom weights to production deployment, every layer engineered in-house.
Weight-Level Fine-Tuning
LoRA/QLoRA on Llama 3, Mistral, and custom architectures. We train on YOUR data with differential privacy guarantees.
RLHF Pipeline
Reinforcement Learning from Human Feedback to align models with your domain's specific quality standards and safety requirements.
RAG Pipelines
Semantic chunking, hybrid retrieval, cross-encoder reranking, and MCP integration for compliant knowledge access.
Sovereign Chat Interfaces
End-to-end encrypted chat applications built on your fine-tuned model. No data leaves your infrastructure.
Model Distillation
Shrink large models into edge-deployable sizes while preserving domain reasoning capabilities.
Security-First Development
Zero data leakage, SOC 2 compliant workflows, encrypted training pipelines, and audit trails on every model build.
02 / Decision Matrix
Build vs. Buy Framework
Your data is proprietary or regulated
Result: Build
If your data can't leave your infrastructure, a fine-tuned model with on-prem deployment is the only compliant option.
Generic API models suffer from latency
Result: Optimize
Distilled, quantized models deployed at the edge eliminate round-trip times and reduce per-query cost by 10x.
Off-the-shelf models don't understand your domain
Result: Build
For government, defense, or specialized industries, a sovereign fine-tuned model is the only path to production accuracy.
Security-First Development
0% Data Leakage
SOC2 Compliant Workflows
100% Local Inference
E2E Encrypted Training
Ready to build your model?
Talk to our engineering team about fine-tuning, RAG architecture, or custom model builds.
Schedule Architecture Review