Model selection and deployment
We evaluate your use case and select the optimal model — Llama 3.1 (8B/70B), Mistral, Phi-3, or domain-specific models. Deploy with vLLM or TGI for production-grade inference.
Services · Private AI
Private LLM deployment for Indian businesses.
Private LLM deployment services for Indian businesses that need to run large language models on their own infrastructure. Deploy Llama 3.1, Mistral, Phi-3, and other open-source models with RAG, fine-tuning, and API access — inside your data centre, with zero data leaving your network. Fully DPDP Act compliant.
Who it is for
Who needs private LLM deployment in India.
- Banks running AI on customer transaction data
- Healthcare organisations processing patient records with AI
- Legal firms using AI for contract review and research
- Government agencies needing sovereign AI infrastructure
- Enterprises wanting ChatGPT-like capabilities without data risk
The problem
Why private LLM deployment needs expertise.
ChatGPT and OpenAI see your data
When you use OpenAI or Azure OpenAI, your prompts and data are sent to external servers. For banking, healthcare, and legal data, this is a compliance violation. You need the capability without the data risk.
Deploying LLMs is harder than it looks
Download a model from Hugging Face, set up vLLM, configure GPU memory, tune batch sizes, build a RAG pipeline — most IT teams have never done this. Failed attempts waste weeks and GPU budget.
Fine-tuning without expertise wastes money
Fine-tuning a model on the wrong data, with wrong hyperparameters, or for the wrong task produces a model that is worse than the base model. You burn GPU hours and get nothing useful.
Features
Private LLM deployment — what we deliver.
RAG pipeline setup
Retrieval-Augmented Generation with your company documents. Vector database (Qdrant/Weaviate), document ingestion pipeline, and citation-backed answers. Accuracy-tested on your content.
Fine-tuning on your data
Fine-tune base models on your domain data — customer interactions, legal documents, medical records, or product catalogues. LoRA and QLoRA for efficient fine-tuning on single GPUs.
OpenAI-compatible API
Drop-in replacement for OpenAI API. Your existing applications, chatbots, and integrations work by changing one URL. Supports chat completions, embeddings, and function calling.
Security and compliance
Role-based access, API key management, audit logging, and encryption. DPDP Act compliance documentation included. Suitable for RBI-regulated and SEBI-regulated workloads.
Performance monitoring
Token throughput, latency percentiles, GPU utilisation, and error rate monitoring. Alerts for model degradation, resource exhaustion, and anomalies.
How it works
From planning to private AI in 4-6 weeks.
01
Use case and model assessment
We evaluate your AI use cases, data sensitivity, query volume, and latency requirements. Recommend model, hardware, and architecture.
02
Infrastructure setup
Provision GPU servers (your hardware or our On-Prem AI Server). Install inference framework, vector database, and monitoring stack.
03
Model deployment and RAG
Deploy selected models. Build RAG pipeline with your documents. Set up API endpoints and authentication. Fine-tune if needed.
04
Testing and handoff
Accuracy testing against your ground truth. Load testing for throughput. Security audit. Train your team on management and monitoring.
Pricing
Private LLM deployment pricing in India.
LLM Deployment
Deploy a single LLM with API access on your infrastructure.
- Model selection and testing
- Server setup and deployment
- OpenAI-compatible API
- Basic monitoring
- Security configuration
- 3-month support
LLM + RAG
LLM with RAG pipeline, document ingestion, and fine-tuning.
- Everything in LLM Deployment
- RAG pipeline with vector DB
- Document ingestion pipeline
- Fine-tuning on your data
- Accuracy benchmarking
- 6-month support
Enterprise AI Platform
Multi-model platform with multiple RAG sources and custom training.
- Everything in LLM + RAG
- Multiple models and endpoints
- Multi-source RAG
- Custom model training
- HA and failover
- Dedicated support
- SLA guarantee
Comparison
Private LLM vs cloud AI APIs.
| Feature | Velozity | Typical alternatives |
|---|---|---|
| Data privacy | Zero data leaves your network | Data sent to cloud providers |
| Recurring cost | Zero API fees — own your models | ₹50K-5L/month in API costs |
| Model choice | Any open-source model | Locked to provider models |
| Fine-tuning | Full control on your data | Limited or expensive |
| RAG accuracy | Tested on your ground truth | Generic RAG pipeline |
| India pricing | From ₹8 Lakhs (one-time) | ₹5-20L/year in API costs |
Proof
Real results.
Private LLMs running in Indian enterprises
We have deployed private LLMs for banks (document processing), hospitals (clinical AI), and law firms (contract review) across India. Zero data breaches. Average RAG accuracy: 94% on domain-specific queries.
Read the case studyFAQ
Private LLM deployment India — FAQs.
Which LLM should I choose?+
For general tasks: Llama 3.1 8B (fast, efficient). For complex reasoning: Llama 3.1 70B or Mistral Large. For Indian languages: fine-tuned multilingual models. We test 2-3 options on your data and recommend the best performer.
Do I need expensive GPUs?+
For 7-8B models: NVIDIA RTX 4090 (₹2-3L). For 70B models: NVIDIA A100 80GB (₹10-15L). We can also deploy on cloud GPU instances if on-premise is not required.
How accurate is RAG on my documents?+
Typical accuracy: 90-95% on domain-specific queries. We benchmark against your ground truth and tune until accuracy meets your threshold. Accuracy depends on document quality and query complexity.
Can I use this as a ChatGPT replacement?+
Yes. We provide a chat interface similar to ChatGPT that runs on your private LLM. Your team gets AI assistance without data leaving your network.
What about model updates?+
We provide model update packages (quarterly or as new models release). Updates are tested on your data before deployment. No automatic updates that break things.
Is it DPDP Act compliant?+
Yes. All data stays on your infrastructure. We provide compliance documentation, audit logs, and access control configurations suitable for DPDP Act, RBI, and SEBI requirements.
A conversation is a good place to start
Run AI on your terms.
Run AI on your terms.
Deploy a private LLM.
Tell us what could work better. We'll help you find the intelligent way forward.
Call us: +91 80720 64524