ZAEONSYSTEMS
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Enterprise LLM Engineering & RAG Architecture Agency

LLM Development Agency | Custom Models & RAG Systems

For: Enterprises and startups seeking custom LLMs, RAG systems, and AI copilots that operate securely on proprietary company knowledge.

We specialize in production-grade Large Language Model engineering. From fine-tuning open-source foundational models on proprietary company knowledge to architecting sub-second RAG (Retrieval-Augmented Generation) pipelines, our engineers eliminate hallucinations and deliver secure, enterprise-ready LLM systems with 100% data privacy.

Development Agency Service

LLM Development & Fine-Tuning by Zaeon Systems

Looking for an LLM development agency? Zaeon Systems fine-tunes open-source LLMs (Llama 3, DeepSeek), engineers enterprise RAG pipelines, and builds private AI copilots.

Key Capabilities

  • →Open-Source LLM Fine-Tuning (Llama 3.3, DeepSeek-V3, Mistral)
  • →Production RAG Pipelines with Hybrid Search (Dense + BM25)
  • →Vector Database Architecture (Qdrant, Pinecone, PGVector)
  • →Strict Hallucination Guardrails & Source Citation Protocols
  • →Cross-Encoder Re-Ranking (Cohere, BGE) for 99%+ Answer Accuracy
  • →Private Enterprise Copilots & Document Intelligence Systems

Industry Use Cases

99%+ answer accuracy with verifiable document citations60-80% lower inference costs compared to public API modelsSub-800ms end-to-end RAG response timesZero proprietary data sent to third-party model providers

Technologies Used

OpenAIClaudeGeminiMeta LlamaDeepSeekLangChainLangGraphQdrantPineconevLLM

Key Capabilities

  • Open-Source LLM Fine-Tuning (Llama 3.3, DeepSeek-V3, Mistral)
  • Production RAG Pipelines with Hybrid Search (Dense + BM25)
  • Vector Database Architecture (Qdrant, Pinecone, PGVector)
  • Strict Hallucination Guardrails & Source Citation Protocols
  • Cross-Encoder Re-Ranking (Cohere, BGE) for 99%+ Answer Accuracy
  • Private Enterprise Copilots & Document Intelligence Systems

Business Outcomes

  • ✓99%+ answer accuracy with verifiable document citations
  • ✓60-80% lower inference costs compared to public API models
  • ✓Sub-800ms end-to-end RAG response times
  • ✓Zero proprietary data sent to third-party model providers

Tech & Tools

OpenAIClaudeGeminiMeta LlamaDeepSeekLangChainLangGraphQdrantPineconevLLM
What We Build

LLM Development & Fine-Tuning Solutions We Deliver

Every project is engineered to production-grade standards with full source-code ownership, documentation, and post-launch SLA support.

Enterprise RAG

Production RAG Systems

Grounding LLMs in thousands of enterprise PDFs, databases, and Notion/Confluence docs with hybrid search and reranking.

Fine-Tuned

Fine-Tuned Domain LLMs

Adapting open-source foundation models via LoRA/QLoRA on your proprietary industry terminology, contracts, and tone.

Copilots

Enterprise AI Copilots

Custom internal AI assistants that connect to Slack, Teams, CRMs, and ERPs to automate multi-department workflows.

Doc AI

Document Intelligence & Extraction

High-throughput automated parsing of complex financial statements, invoices, and legal contracts into structured JSON.

How We Work

Our LLM Development & Fine-Tuning Engagement Process

01

Knowledge Audit & Architecture Design

We analyze your document formats, query complexity, latency targets, and compliance requirements to pick the optimal LLM pattern.

02

Semantic Chunking & Embedding Pipeline

Implementing layout-aware semantic chunking and hybrid dense/sparse vector indexing in Qdrant or Pinecone.

03

Re-Ranking & Prompt Guardrail Engineering

Integrating cross-encoder re-rankers, system prompt guardrails, and automated citation enforcement for zero-hallucination outputs.

04

Model Fine-Tuning & Quantization

Fine-tuning model weights using QLoRA/DPO on GPU clusters and packaging for vLLM or Ollama private inference.

05

Evaluator Benchmarking & Deployment

Evaluating system performance using Ragas (Faithfulness, Relevance), followed by zero-downtime deployment to secure VPC.

What You Receive

Project Deliverables

Every llm development & fine-tuning engagement includes full handover with 100% IP ownership and 30-day post-launch warranty.

Fine-Tuned Model Weights

Full weights, adapter files, and tokenizers delivered for client-hosted deployment.

Complete RAG Pipeline Code

Production Next.js / Python service with vector indexing, caching, and stream responses.

Evaluation Benchmark Suite

Automated test suite measuring answer faithfulness, context recall, and latency.

Security & Guardrail Config

Defense against prompt injection, data exfiltration, and out-of-scope queries.

Frequently Asked Questions – LLM Development & Fine-Tuning

Common questions about Zaeon Systems' LLM Development & Fine-Tuning agency services, pricing, timeline, and technology stack.

Hiring Zaeon Systems starts with a free 30-minute discovery call where we review your project requirements, user journeys, timeline, and tech stack preferences. Within 48 hours, we provide a detailed scope breakdown, technical architecture proposal, and transparent pricing estimate. Once approved, our dedicated engineering squad can onboard within 5 business days.
Get Started Today

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Book a free strategy call with our engineering team. No commitments -just an honest conversation about building software that scales your business.

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