Arman Afzar

01AI & Intelligent Transformation

Enterprise LLM

Short answer

On-premise language models, fine-tuning on your data, RAG and knowledge bases — with LLM Router and Floush.

Service file
Type
AI-powered
Related product
Floush, LLM Router

Up close

01Overview

On-premise language models, fine-tuning on your data, RAG and knowledge bases — with LLM Router and Floush.

Language models run on your own infrastructure and data never leaves the organisation.

Fine-tuning uses SFT, LoRA, QLoRA and DPO for Persian and your domain.

What this service actually does

02Capabilities

Capabilities in the order they are usually built in a project.

  1. 01

    On-premise setup, quantization and serving with vLLM and Ollama

  2. 02

    Data preparation, SFT, LoRA/QLoRA, DPO and evaluation for Persian

  3. 03

    Document indexing, vector databases and Persian Q&A

  4. 04

    Access control and audit logging

  5. 05

    Enterprise Q&A assistants and smart search

  6. 06

    Tool use via MCP and multi-agent orchestration

Where it has been used

03Work examples

Projects and products where this service was delivered.

  1. 01LLM Router
  2. 02Floush
  3. 03Tooniex
  4. 04BlockFace
  5. 05ICity
  6. 06Market Monitor
  7. 07Engagement models

From discovery to scale

04Process

Every engagement starts with a clear problem and a success metric.

  1. 01

    Discovery

    A discovery session that defines the problem and a clear success metric.

  2. 02

    Scope

    Define the pilot, data, roles and phased plan.

  3. 03

    Build

    Design, build, test and deploy with a results report.

  4. 04

    Scale

    Phased expansion after results, with long-term support.

In the same department

05Related services

Services that usually go alongside this one.

  1. 01 / 07

    Machine Vision

    People counting, face recognition and matching, repeat visitors, attendance dashboards, liveness and document reading.

    • BlockFace runs on two cameras at Bagh-e Ketab Tehran, fully on-premise.
    • Veriqo offers liveness, matching and document reading in one API.
    Service page: Machine Vision

FAQ

What is Enterprise LLM?

On-premise language models, fine-tuning on your data, RAG and knowledge bases — with LLM Router and Floush.

What does Enterprise LLM cover at Arman Afzar?

Language models run on your own infrastructure and data never leaves the organisation. Fine-tuning uses SFT, LoRA, QLoRA and DPO for Persian and your domain.

Where do we start?

With a discovery session and a small pilot that has a clear success metric; once results are in, the work expands in phases.

Tell us your project in one sentence — we’ll find the right facet together.

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