01AI & Intelligent Transformation
Enterprise LLM & Fine-tuning
Short answer
On-premise deployment of language models on your infrastructure, training and fine-tuning on your data, and RAG knowledge bases — without data leaving the organisation.
- Department
- AI & Intelligent Transformation
- Type
- AI-powered
- Related product
- Floush, LLM Router
What this service actually does
02Capabilities
Capabilities in the order they are usually built in a project.
01
On-premise setup, quantization and serving with vLLM and Ollama
02
Data preparation, SFT, LoRA/QLoRA, DPO and evaluation for Persian
03
Document indexing, vector databases and Persian Q&A
04
Access control and audit logging
Where it has been used
03Work examples
Projects and products where this service was delivered.
From discovery to scale
04Process
Every engagement starts with a clear problem and a success metric.
01
Discovery
A discovery session that defines the problem and a clear success metric.
02
Scope
Define the pilot, data, roles and phased plan.
03
Build
Design, build, test and deploy with a results report.
04
Scale
Phased expansion after results, with long-term support.
In the same department
05Related services
Services that usually go alongside this one.
01 / 04
AI Agents & Assistants
Autonomous agents and multi-agent systems that plan, search, call tools and report automatically — built with LangGraph, CrewAI and MCP.
- Enterprise Q&A assistants and smart search
- Tool use via MCP and multi-agent orchestration
- Trading Q&A assistant
01 / 04
AI Agents & Assistants
Autonomous agents and multi-agent systems that plan, search, call tools and report automatically — built with LangGraph, CrewAI and MCP.
- Enterprise Q&A assistants and smart search
- Tool use via MCP and multi-agent orchestration
- Trading Q&A assistant
02 / 04
Consulting and R&D
Feasibility, prototyping, intelligence pilots and phasing — advice before building.
- Feasibility and proof of concept
- Pilots with a clear success metric
- Enterprise architecture
03 / 04
Predictive Analytics & ML
Machine learning, NLP and predictive analytics that turn data into decisions and alerts.
- Forecasting and classification models
- Market monitoring and threshold alerts
- Dashboards and executive report cards
04 / 04
Digital & Intelligent Transformation
An intelligence roadmap for the organisation: from a pilot on real data to phased expansion.
- Assessment and AI opportunities
- Pilot and phasing
- Team training
FAQ
Enterprise LLM & Fine-tuning — what is it?
On-premise deployment of language models on your infrastructure, training and fine-tuning on your data, and RAG knowledge bases — without data leaving the organisation.
Enterprise LLM & Fine-tuning: what does it include?
On-premise setup, quantization and serving with vLLM and Ollama; Data preparation, SFT, LoRA/QLoRA, DPO and evaluation for Persian; Document indexing, vector databases and Persian Q&A; Access control and audit logging
Enterprise LLM & Fine-tuning: where has it been used?
LLM Router; Floush
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.
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