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Private LLM infrastructure

On-Premise LLM Deployment in Bengaluru

The best On-Premise LLM Deployment in Bengaluru, at the best available price.

$0 upfrontPay per accepted checkpointSenior engineer, no agency markup

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.

Bengaluru is where India's product companies, venture-funded startups and the engineering centres of global firms sit side by side, so the person buying is usually an engineer. Buyers judge a supplier on the code, the architecture and how quickly questions get answered, and they weigh any outside help against the time it takes to hire into a market where engineers with production AI experience are heavily contested.

Bengaluru SaaS companies selling to Indian banks and insurers tend to hit the same wall in procurement: the customer will not approve prompts going to a foreign model API. Serving an open model inside your own cloud account in an Indian region, with logs you hold, lets the product pass that review without a rewrite.

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.

Bengaluru, Karnataka

Who builds here

Electronic City and the Whitefield tech parksGlobal capability centres along the Outer Ring Road and ManyataSaaS and venture-funded startupsIndian Institute of Science and its research ecosystem
Best fit in Bengaluru

AI Development Company

Most Bengaluru companies already have capable engineers. What they usually lack is someone who has shipped retrieval, agents or voice to production and kept them working, so a scoped AI engagement inside the existing team is the most useful place to start.

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 Bengaluru

What actually applies here.

Regulation and data

The DPDP Act 2023 governs personal data, and the DPDP Rules notified in November 2025 phase in over eighteen months, so SaaS companies here selling to Indian enterprises are already being asked about consent, retention and breach handling. Karnataka's GCC Policy 2024-29 and the state IT policy for 2025-30, approved by the cabinet in November 2025, steer incentives towards R&D, skilling and locations beyond Bengaluru; they are incentive schemes and set no data rules of their own. The Karnataka Data Centre Policy 2022-27 is under review, with the state signalling that new facilities should be sited outside the city. Health tech teams building diagnostic software should check whether CDSCO's medical device rules apply to them.

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 time zone. I work from India on IST, so calls, reviews and replies all happen inside your normal working day.

We already have an engineering team in Bengaluru. Where do you fit?

Usually alongside them, on the part they have not done before: model serving, retrieval, agents or voice. The work happens in your repository and through your review process, and handover includes the evaluation sets and runbooks your engineers need to own it afterwards.

Are the Karnataka GCC and IT policies relevant to working with you?

Not directly. Those policies offer incentives for companies setting up or expanding in the state, mainly for R&D, skilling and locations beyond Bengaluru. Whether a particular engagement or hire counts towards a claim is a question for your own advisers, and we do not advise on incentive applications.

Do we need to meet in person?

No. The work is remote and on IST, so calls and code reviews happen inside your normal working day. Decisions, documentation and the recorded handover are written so that anyone on your team can follow what was built without a meeting.

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.