// SERVICE DETAIL

Custom AI Model Services

NUMVOX builds custom RAG (Retrieval-Augmented Generation) applications and fine-tunes specialized open-source LLMs on private enterprise datasets. We empower companies to leverage private AI models securely without leaking proprietary data.

custom rag development servicesllm fine tuning companyenterprise vector database implementationprivate ai model developmentcustom llm software development
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// THE CHALLENGE

The Problem

Off-the-shelf public AI models hallucinate when asked about internal company processes, and sending sensitive IP to public endpoints presents serious regulatory risks.

The NUMVOX Solution

NUMVOX develops isolated RAG pipelines and fine-tuned open-source models hosted within your own private cloud infrastructure, ensuring factual responses and 100% data privacy.

// DELIVERABLES

What We Deliver.

  • Fine-tuning open LLMs (Llama 3, Mistral) on private datasets
  • Custom RAG (Retrieval-Augmented Generation) development
  • Private on-premise & cloud LLM deployment
  • Enterprise vector database implementation
  • Domain-specific model optimization & evaluation

// TECHNOLOGY

Our Tech Stack.

Models

Llama 3MistralGPT-4oClaude 3.5

Vector

PineconeChromaDBWeaviateSupabase Vector

Framework

LangChainLlamaIndexPyTorchvLLM

// OUR PROCESS

From Discovery to Growth.

01

Data Cleaning & Chunking

02

Embedding & Vector Setup

03

RAG Pipeline Build

04

Model Evaluation & Tuning

05

Private Cloud Launch

// KEEP EXPLORING

Related Services.

// FAQ

Frequently Asked Questions

What is the benefit of RAG over fine-tuning?

RAG links live internal knowledge bases to an AI model dynamically without costly retraining. Fine-tuning is used to teach a model a specialized tone, format, or niche terminology.

Can custom RAG models be deployed inside our private cloud?

Yes. We deploy custom RAG infrastructure on private AWS, GCP, or Azure accounts so your data never leaves your environment.

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