Ownership, Privacy, and Specialized Intelligence.

Custom LLM Development
Company

Stop renting generic AI. We build, fine-tune, and deploy secure private LLMs trained on your proprietary data. From Llama 3 customization to enterprise-grade AI integration, VGD Technologies engineers the intelligent core of your business.

Estimate Your LLM Project Explore Our AI Architecture

*No pressure. No obligations. Just honest product insights from our experts.

Generic AI is a Security Risk.
Your Enterprise Needs a Custom Brain

Public foundation models like ChatGPT are incredibly powerful, but they have a fatal flaw for enterprises: they are generalists. They don't understand your specific industry jargon, they cannot be trusted with highly sensitive corporate data, and sending your proprietary information to public APIs creates massive compliance risks.

At VGD Technologies, we apply our signature product-engineering mindset to Artificial Intelligence. We build Domain-Specific AI Models that belong entirely to you. By fine-tuning open-source models and deploying them within your own secure cloud or on-premise infrastructure, we give you an AI that speaks your exact business language with zero risk of data leakage.

End-to-End Custom LLM Engineering Services

Foundation Model Selection & Strategy

Not every problem requires a massive, expensive model. Our AI architects analyze your specific use case to recommend the perfect foundation - whether that is a heavy-duty model like Meta's Llama 3, or highly efficient Small Language Models (SLMs) like Mistral or Google Gemma, ensuring maximum performance at the lowest inference cost.

LLM Fine-Tuning & Domain Adaptation

We turn generic models into industry experts. Using advanced techniques like Parameter-Efficient Fine-Tuning (PEFT) and LoRA, we train models on your historical data, legal contracts, or medical records. This creates a highly specialized AI that understands your unique operational logic with pinpoint accuracy.

Secure Private LLM Deployment

Keep your data sovereign. We architect and deploy your custom LLMs entirely within your private cloud (AWS VPC, Azure) or on-premise servers. This air-gapped approach ensures your sensitive data never leaves your firewall and complies strictly with GDPR, HIPAA, and SOC2 regulations.

Small Language Model (SLM) Optimization

Bigger isn't always better. We specialize in quantizing and optimizing smaller models (7B to 13B parameters) to run on incredibly cost-effective hardware. You get enterprise-grade intelligence without the crippling cloud computing bills.

LLM Guardrails & Security Engineering

Trust but verify. We engineer strict cognitive guardrails into your models to prevent hallucinations, block toxic outputs, and ensure the AI never reveals sensitive internal data to unauthorized users. Your custom model remains safe, predictable, and brand-aligned.

Enterprise System Integration

An LLM is useless if it sits in a silo. Leveraging our deep expertise in high-performance web architecture and SQL databases, we seamlessly integrate your new custom LLM into your existing SaaS platforms, internal ERPs, or customer-facing mobile applications via robust, custom-built APIs.

Our LLM Engineering Tech Stack

Foundation Models

Meta Llama 3

Mistral 8x7B

Google Gemma

Falcon

Claude 3 (API)

Fine-Tuning Frameworks

Hugging Face Transformers

PyTorch

Axolotl

DeepSpeed

Deployment & Inference

vLLM

TGI (Text Generation Inference)

Ollama

NVIDIA Triton

Evaluation & Ops

MLflow

LangSmith

RAGAS

Weights & Biases

The VGD Advantage: Your IP, Your Intelligence

100% IP Ownership

When you rely on SaaS AI tools, you are just renting intelligence. When VGD Technologies fine-tunes a model for you, you own the weights, the training pipeline, and the final intellectual property forever.

Engineering over "Prompting"

Many agencies claim to do AI, but they just write API wrappers. We are hardcore software engineers. We understand vector math, GPU optimization, and complex data pipelines, allowing us to build production-grade AI systems that actually scale.

Cost-Efficient Inference Architectures

We build for your budget, not just for the demo. By utilizing model quantization and strategic cloud architecture, we dramatically reduce the ongoing hardware costs required to run your AI, ensuring a rapid return on investment.

Frequently Asked Questions About Custom LLMs

What is the difference between RAG and LLM Fine-Tuning?

Retrieval-Augmented Generation (RAG) gives the AI an "open book" to search your documents for answers. Fine-Tuning actually changes the model's brain, teaching it a new style of speaking, a specific format (like outputting custom JSON), or deep industry jargon. We often combine both for ultimate accuracy.

How much data is required to fine-tune an LLM?

Thanks to modern techniques like PEFT, you no longer need millions of documents. We can achieve highly accurate domain adaptation with as few as 1,000 to 5,000 high-quality, curated examples of your specific business data.

Are open-source models actually safe for enterprise use?

Yes, they are the safest option available. An open-source model is simply a downloadable piece of software. Once we deploy it on your secure servers, it has absolutely no connection to the outside internet or the model's creators.

How long does it take to build a custom LLM?

Depending on the complexity of your data, a standard fine-tuning and deployment pipeline typically takes between 4 to 8 weeks. We deliver this using agile sprints, giving you a working prototype to test early in the process.