LLM Development Service
Build, fine-tune, and host domain-specific Large Language Models (LLMs). We specialize in QLORA fine-tuning, model quantization, and private LLM deployments on private cloud infrastructure.
Open-Source Fine-Tuning (Llama, Mistral)
On-Premise & Private Cloud LLM Hosting
PEFT, LORA & QLORA Optimization
High-Throughput vLLM & TensorRT Inference
Custom Large Language Model Engineering
Avoid vendor lock-in and retain 100% data ownership. We build customized open-source foundation models that understand industry jargon, process internal documents, and run cost-effectively within your private VPC.
End-to-End LLM Development
Model Fine-Tuning
Adapting base models (Llama 3, Qwen) on proprietary domain datasets.
Model Quantization
Compressing models to 4-bit/8-bit precision to lower GPU memory footprints.
Private LLM Hosting
Deploying LLMs inside AWS, Azure, GCP, or bare-metal GPU clusters.
Inference Optimization
Setting up vLLM and TensorRT-LLM for high request-per-second throughput.
DPO & RLHF Alignment
Aligning LLM outputs with human preference feedback for safety.
Dataset Curation
Cleaning, deduplicating, and formatting synthetic instruction datasets.
LLM Benchmarking
Testing models on MMLU, GSM8K, and custom domain-specific metrics.
SLM (Small Models)
Building lightweight 1B-7B parameter models for edge devices and fast inference.
LLM Engineering Pipeline
Data Scrubbing
Extracting and anonymizing domain training data.
LoRA Training
Parameter-efficient fine-tuning on specialized GPU hardware.
Alignment
Applying safety guardrails and system prompt constraints.
vLLM Serving
Deploying API endpoints with auto-scaling capabilities.
LLM Tech Stack
LLM Industry Implementations
Developer Tools
Internal code autocomplete LLMs trained on private repositories.
Healthcare
HIPAA-compliant LLMs running locally on hospital hardware.
Legal
Custom legal synthesis LLMs trained on regional case law history.