100% Private & Self-Hosted AI

Open Source LLM Chatbot Development

Deploy self-hosted, private AI chatbots powered by **Llama 3.3, DeepSeek R1/V3, and Mistral**. We fine-tune open-source models, setup high-throughput vLLM serving, and guarantee **zero data leakage** with fixed infrastructure costs.

Complete Autonomy

Why Enterprises Build on Open-Source AI

In our hands-on engineering experience, relying exclusively on proprietary cloud AI APIs exposes enterprises to unpredictable per-token pricing, vendor lock-in, API downtime, and privacy concerns. **Open-source LLMs** offer state-of-the-art performance while retaining total data ownership. (Read our deep dive: Open Source vs Cloud LLM for Enterprise Chatbots).

1

Zero Data Exposure & HIPAA/SOC2 Alignment

Your prompt history and internal knowledge bases remain strictly inside your private cloud (VPC) or local air-gapped servers.

2

Predictable Fixed GPU Cost

Eliminate escalating API bills. Run high-concurrency chatbot instances on fixed-cost GPU instances with unlimited token throughput.

3

Full Model Weight Access & Domain Fine-Tuning

Fine-tune model weights (LoRA/QLoRA) on proprietary terminology, clinical guidelines, or specialized engineering manuals with our Generative AI development company. (Read our Fine-Tuning Guide).

Open Source LLM model fine-tuning architecture
State of the Art Models

Open Source Models We Deploy & Fine-Tune

Meta AI

Llama 3.3 (8B / 70B)

Meta's flagship open-weights model delivering near GPT-4 level performance with 128k context windows for complex document reasoning.

Best for: Enterprise RAG & Support
DeepSeek AI

DeepSeek R1 / V3

Breakthrough open reasoning models with MoE (Mixture of Experts) architecture, offering ultra-fast inference and complex math/code logic. (Read our guide on Deploying DeepSeek R1 On-Premise).

Best for: Reasoning & Code Logic
Mistral AI

Mistral NeMo & Mixtral

High-efficiency European open models optimized for multilingual support, low-latency edge serving, and fast function calling.

Best for: Multilingual & Function Calls
MLOps Engineering

High-Throughput Serving & Fine-Tuning Stack

Low-Latency Serving Engines

We optimize model inference throughput using PagedAttention and continuous batching:

  • vLLM: High-throughput server with PagedAttention for production concurrency.
  • Ollama & TGI: Lightweight local and containerized serving frameworks.
  • NVIDIA Triton: Enterprise multi-model GPU inference server orchestration.

Domain Fine-Tuning (PEFT / LoRA)

Adapt open-source models to your exact business vocabulary without full retraining costs:

  • LoRA & QLoRA: 4-bit quantized parameter-efficient fine-tuning on consumer GPUs.
  • Synthetic Dataset Curation: Structuring domain pairs from PDFs & raw logs.
  • DPO / RLAIF: Direct Preference Optimization for strict brand alignment.
Interactive Architecture Tools

Not Sure Which AI Architecture Fits Your Budget?

Use our interactive LLM Selector and AI Chatbot Cost Calculator to get a tailored architecture estimate based on your specific security, token volume, and deployment requirements.

Build Your Private Open-Source AI Chatbot

Take total control of your corporate data. Speak to our open-source LLM architects to evaluate your hardware requirements and setup a proof of concept.

Request Open Source AI Consultation
Skip the Sales Reps

Talk Directly to an AI & ML Solutions Architect

Book a zero-pitch, 20-minute engineering session to evaluate your dataset readiness, scope vector database options (Pinecone/Milvus), map LLM architectures (RAG/Agentic), or calculate model training costs.

Direct Engineer Scoping

Book a 20-Min Technical Strategy Call

Discuss your architecture, feasibility, hardware sizing, or custom software requirements directly with a senior engineer.

Zero Sales Pitch. Pure Technical Clarity.
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