Custom GPT &
LLM Integration.
We train, fine-tune, and embed domain-specific foundation models directly into your business processes. Own your intellectual property with private cloud weights and guaranteed sub-second response times.
How we deploy enterprise LLMs.
Dataset Ingestion & Token Cleansing
Deduplication, PII sanitization, synthetic QA pairing, and token-level formatting for target tokenizer architectures.
Instruction Tuning & Parameter Alignment
Supervised Fine-Tuning (SFT) + Direct Preference Optimization (DPO) on target evaluation benchmarks.
Model Quantization & TensorRT Compilation
FP8 / AWQ 4-bit quantization compiled with TensorRT-LLM for sub-20ms first-token latency.
Private API Gateway & Continuous Eval
Protected behind custom rate-limiting gateways with automated RAGAS and Prometheus drift evaluation.
Production deliverables.
Domain Weight Adaptation & LoRA Fine-Tuning
Custom LoRA and QLoRA fine-tuning of Llama 3.3, Mistral, and DeepSeek weights on your private enterprise corpus with verifiable accuracy metrics.
Private VPC LLM Deployment
Zero-data-leakage deployment inside your private AWS/GCP/Azure VPC with hardware-level isolation, strict tenant isolation, and SOC 2 Type II compliance.
Structured Tool Calling & JSON Schemas
Guaranteed JSON schema output and deterministic function calling to connect LLMs directly to your internal SQL databases, ERPs, and REST endpoints.
Model Routing & Cost Optimization
Dynamic semantic routers that cascade user prompts between high-speed edge models (GPT-4o mini / Claude 3.5 Haiku) and flagship reasoning models.
Ready to integrate custom models?
Speak directly with our senior AI systems architects. We will conduct a comprehensive technical feasibility audit within 48 hours.