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Enterprise LLM Integration

Deploy private, secure LLMs trained on your company data with zero data leakage.

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Private LLM with a RAG index inside the company network

TIMELINE

Scoped in writing

BILLING

Milestone-based

SUPPORT

AMC available

MARKETS

India · USA · UK

Overview

Enterprise LLM Integration, Built Around How Your Business Works

Give your enterprise a private AI brain. We build RAG systems using your proprietary data—documents, emails, codebase, customer history—creating an intelligent assistant that knows your business inside out while staying 100% within your secure infrastructure.

WHAT YOU GET

How We Work

Our Enterprise LLM Integration Process

STEP 01

Pick the workflow

One specific process where automation saves real hours, not a vague AI goal.

STEP 02

Data & guardrails

Where the data lives, what the model may touch, and who approves what.

STEP 03

Pilot

A working pilot on real cases, measured against how the task is done today.

STEP 04

Roll out & monitor

Wider rollout with logging, human override and ongoing tuning.

Scope of AI & Automation

## Enterprise LLM Integration

### Data Audit & Preparation Secure collection and structuring of your enterprise data.

### RAG Architecture Design Custom vector database with semantic search and contextual retrieval.

### Private LLM Deployment On-premise or private cloud deployment of open-source or fine-tuned models.

### Security & Compliance End-to-end encryption, RBAC, and GDPR/HIPAA compliance.

FAQ

Enterprise LLM Integration: Frequently Asked Questions

Straight answers on cost, timelines, ownership and support. Anything else, ask us directly.

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It depends on scope: features, integrations, users and data migration. After a free scoping call you get a written, itemised quote with no hidden retainers.

We plan the work in milestones and agree the dates in the written scope; you see working results at each milestone.

We scope AI to one workflow and keep your data in your own systems wherever possible, including private LLM deployments. Nothing goes to a public AI tool without your agreement.

Not always. Many automations combine rules with existing AI models. Custom models need historical data, which we assess during discovery.

Yes. We are headquartered in India and work with clients in the USA and UK, remote-first, with transparent timelines.

You do. On full payment, ownership of custom work transfers to you, and your data stays in your own systems. The details are in our Terms & Conditions.

Yes. Most clients keep us on an Annual Maintenance Contract: security updates, tested backups, a named support owner and changes as the business grows.

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Custom Scope, Not Fixed Tiers

Ready to Scope Your Enterprise LLM Integration Project?

Talk to the engineers who would build it. You get a written scope and quote, not a sales pitch.

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