Custom AI Architecture &
Domain Model Fine-Tuning
We architect proprietary, private foundation models, open-weights adaptation (Llama 3.3, DeepSeek, Mistral), and optimized inference pipelines with 100% data sovereignty.
Move Beyond Off-The-Shelf APIs With Domain-Specific Intelligence
Architected for Production-Grade Scale
Engineered to eliminate technical debt, hallucination, and unpredictable token expenditure.
Open-Weights Model Fine-Tuning
Supervised Fine-Tuning (SFT) and DPO alignment on Llama 3.3 70B, DeepSeek-R1, and Mistral NeMo for zero hallucination on proprietary data.
Model Quantization & vLLM Serving
FP8, AWQ, and GGUF quantization allowing 70B parameter models to run at 85+ tokens/sec on cost-effective dual A10G/L4 GPUs.
Air-Gapped & On-Premise AI Hardware
100% offline, zero-cloud deployment for defense, banking, and healthcare with zero external network connectivity.
Synthetic Data Generation & Curation
Automated pipeline to generate, de-duplicate, and filter millions of high-quality training pairs with adversarial validation.
Our 4-Stage Deployment Pipeline
From initial data sanitization to hardened Kubernetes GPU container rollout.
Data Auditing & Tokenization
Ingest unstructured PDFs, database schemas, and audio logs; tokenize and remove PII.
LoRA / QLoRA Adapter Training
Multi-GPU cluster training with automated loss monitoring and evaluation benchmarks.
Quantization & Hardware Sizing
Convert weights to 4-bit/8-bit precision with minimal perplexity degradation.
Private vLLM Container Deployment
Deploy containerized high-concurrency inference with automated auto-scaling.
Technologies Powering This Solution
We select battle-tested, state-of-the-art libraries with active enterprise backing.
Frequently Asked Questions
Technical clarification on privacy, pricing, deployment, and data security.
Q. What is the cost difference between fine-tuning and using OpenAI API?
Q. How much training data do we need to fine-tune a model?
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Ready to Build Your
AI Architecture & Models?
Speak directly with our senior software architects and AI engineers to map out your sprint scope, preliminary architecture, and budget.