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Private LLM infrastructure

On-Premise LLM Deployment in India

You have the GPU and you have the model. What is missing is the leg in between: the model exposed as a reliable private API, reached securely from your application, returning data you can trust. That is the whole engagement.

The Indian market is different: budgets are lower, but so is the cost of getting something built properly, and the number of companies now adding AI to an existing product is considerable. Most are quoted a large services contract by a body shop, or they try to hire an AI engineer into a market where anyone with real production experience already has three offers. A fixed-scope engagement with one senior engineer is usually faster and cheaper than either.

What you get

  • vLLM serving tuned to your GPU: quantisation on the native kernel path, KV cache sizing, continuous batching, prefix caching
  • A private network path with no public exposure, verified as a direct peer connection rather than a relay
  • Schema-constrained responses plus a deterministic QA gate, so a wrong answer is rejected rather than rendered
  • Documented baseline: tokens per second, time to first token, real concurrent capacity
  • Infrastructure as code in your repository, a runbook, and every credential held by you
Fixed-fee assessment, credited in full against the build.

No upfront payment and no escrow required. You hold every dollar until a checkpoint is delivered and accepted, and thirty days of defect correction is included. Scope and price are set on a call.

Invoiced in INR, with GST as applicable.

Request a callback

You speak to the engineer who does the work. No sales rep, no deck.

No spam and no sales team. You talk directly to Neeraj.

A single GPU server lit in a dark data-centre aisle, the hardware a self-hosted model runs on
Architecture diagram of a private LLM deployment inside your network: your application calls a backend gateway, which reaches a vLLM model server running an open-weights model on your GPU over a private encrypted network with no public endpoint. Every response passes a deterministic validation gate before it returns to the application. Secrets sit in a managed store, the model port is bound to a private interface, output is review-only, and third-party model APIs are not used.
The request never leaves your network, and nothing reaches your users without passing the validation gate.
How you pay

Get it built at $0.

That is not a discount. It is when you pay. The work is split into checkpoints with acceptance criteria written down before anything starts, and each checkpoint is invoiced only after you have seen it and accepted it. No deposit.

$0 to start
You hold every dollar until a checkpoint is delivered and you accept it. No approval, no invoice.
Fixed cost, unlimited features
Or hire the team outright: one fixed monthly cost, unlimited feature development, any stack.
The engineer takes your call
The person on your first call is the one who architects and writes it. No account managers, no bench time.

A US agency quotes $50,000 to $150,000 for the same build and asks for 40 to 50% of it before a line is written. Account managers, project managers, sales commission and bench time. None of it appears in your product.

How it works

Three stages, nothing hidden.

01

Fixed-fee assessment

Five business days from the day access is in place. Your stack examined end to end, existing work classified as preserved or replaced with reasons, the connection design, and acceptance criteria written as testable statements.

02

Implementation in checkpoints

Around three weeks. Each checkpoint has written acceptance criteria agreed before work starts, and is invoiced only after you accept it. Appoint an independent technical reviewer if you want one.

03

Handover and closeout

One real request through your real application, on synthetic data, passing every QA rule. Runbook, recorded handoff, and all our access removed with written confirmation.

Working in India

What actually applies here.

Regulation and data

Here the constraint is almost entirely commercial. Enterprise and BFSI customers running security reviews increasingly refuse to approve a product that sends their data to a third-party model provider, and that single objection blocks deals that are otherwise ready to sign. A private deployment turns a blocked procurement into an approved one.

Contracting and payment

Simple domestic contracting. Invoices in INR with GST as applicable, under a standard services agreement. No cross-border payment friction, no forex conversion cost, and no time spent on paperwork for an overseas supplier.

Working hours

Same timezone, same working day, and same-day responses.

Do you work with Indian companies at Indian rates?

Yes. Pricing is set for the Indian market rather than converted from a US rate card, invoiced in INR with GST as applicable, under a standard domestic services agreement.

Why would an Indian company self-host a model?

Usually because a customer's security review demands it. Enterprise and BFSI buyers increasingly refuse products that send their data to a third-party model API, and self-hosting turns a blocked deal into a closeable one.

Can you work on-site?

For scoping and handover, in Delhi NCR and Punjab, yes. The build itself is remote, which is what keeps it fast and keeps the cost where it is.

We already have hardware and a model running. Is that a problem?

It is the ideal starting point. Existing work is classified during the assessment as preserved unchanged, preserved with changes, or replaced, with reasons, and nothing is replaced without your written agreement.

Can it be fully air gapped?

Yes, including model and dependency mirroring, offline updates and local evaluation, with no outbound network access at all.

Who holds the accounts?

You do, throughout. Cloud accounts are created and held by you, our access is named and limited-privilege, and it is removed at handover with written confirmation.

Full detail

Private LLM Infrastructure

Self-hosted LLM deployment on hardware you own. vLLM serving, private networking, validated output.