WNWEBSNEXUS

Custom LLM development

AI models trainedon your business

Custom large language model solutions — fine-tuning, retrieval-augmented generation and private deployments — built around your data, not a generic chatbot.

LLM scope

Your data,your model behaviour

We design LLM systems that answer from your actual documents, policies and records, with the accuracy and guardrails a generic chatbot can't offer.

01

RAG Systems

Retrieval-augmented generation over your documents, product data and internal knowledge.

02

Fine-Tuning

Fine-tune open or hosted models on your domain language, tone and use cases.

03

Private/On-Prem Deployment

Self-hosted or private-cloud model deployment for sensitive or regulated data.

04

Evaluation & Guardrails

Accuracy testing, hallucination checks and safety guardrails before launch.

05

Model Selection & Cost Tuning

Pick the right model size and provider mix to balance accuracy against ongoing cost.

What we deliver

Clear outputs,not vague promises

  • 01A working LLM system answering from your own data sources
  • 02Retrieval pipeline connected to your documents, database or knowledge base
  • 03Fine-tuning or prompt-engineering tuned to your domain and tone
  • 04Evaluation results for accuracy, hallucination rate and edge cases
  • 05Deployment with monitoring and a plan for ongoing model updates

Process

How theproject runs

  • 01We review your data sources, use cases, accuracy needs and budget range
  • 02We prototype a retrieval or fine-tuning approach against real sample questions
  • 03We build the full pipeline, evaluate it against edge cases, and add guardrails
  • 04We deploy, monitor real usage and tune the system based on actual queries

Timeline

How manydays are needed

Custom LLM projects scale from a focused proof of concept to a full production pipeline.

Proof of concept
1-2 weeks
RAG system over your data
3-6 weeks
Fine-tuning project
4-8 weeks
Private deployment
2-5 weeks

Pricing

Starting from$2,000

Custom LLM development can start from $2,000 for a focused proof of concept over your own data.

Proof of concept RAG system over a sample dataset: starting from $2,000
Production RAG system with your full knowledge base: starting from $4,500
Model fine-tuning project: starting from $5,000
Private or on-prem deployment setup: starting from $3,000
NDA available before sharing proprietary data, documents or model training material.

How it works

Clear scope,private by default

We can sign an NDA before detailed discovery. After that, we confirm scope, price, milestones, delivery dates and ownership in writing before development starts.

NDA available for confidential ideas, business processes, customer data and internal systems.
Your quote explains what is included, what is not included and what can be added later.
Work is delivered in milestones so you can review progress before the final handover.

Guides

Read beforeyou decide

5 min readHow Much Does Custom LLM Development Cost? 2026 Prices for RAG, Fine-Tuning and Private ModelsWhat custom LLM development costs in 2026: proofs of concept, RAG systems, fine-tuning and private deployments, plus running costs and how to cut them.
4 min readRAG vs Fine-Tuning: Which Should Your Business Use for a Custom LLM?RAG vs fine-tuning explained for businesses: what each does, cost, accuracy, data freshness and privacy, when to combine them, and a simple way to decide.
4 min readHow to Add an AI Chatbot to Your Business Website (That Actually Knows Your Business)How to add a custom AI chatbot to a business website using ChatGPT, Claude or Gemini: RAG on your own content, costs, guardrails, CRM handoff and launch steps.

What now

Build AI onyour own data

Tell us what data you want the model to know and what it should answer. We will scope a custom LLM project that starts from $2,000.

Get a free quoteChat on WhatsApp +92 266 379003