About
Team & Roles
Short answer
The team is organised in specialist working groups; every project combines product, engineering and AI roles.
Working groups, not an org chart
01Working groups
Eight specialist groups and six support units — every project is a mix of them.
01 / 14 · Specialist group
AI & machine learning
Enterprise LLMs, fine-tuning, RAG, vision and MLOps
Unit page: AI & machine learning
01 / 14 · Specialist group
AI & machine learning
Enterprise LLMs, fine-tuning, RAG, vision and MLOps
Unit page: AI & machine learning02 / 14 · Specialist group
Workflows & automations
n8n workflows, bots, AI agents and automated content channels
Unit page: Workflows & automations03 / 14 · Specialist group
Consulting & enterprise solutions
Requirements, enterprise architecture and roadmaps
04 / 14 · Specialist group
Custom software design & build
Web, mobile, backend, APIs and admin panels
Unit page: Custom software design & build05 / 14 · Specialist group
Infrastructure & networks
Networks, CCTV, servers and secure migration
06 / 14 · Specialist group
Interactive TV & IoT
Hotel and hospital IPTV, smart home and IoT control
07 / 14 · Specialist group
Transport & GIS
Rail GIS, passenger information, siting and mining GIS
08 / 14 · Specialist group
Distribution solutions
Capillary distribution, smart routing and fleets
10 / 14 · Support unit
AI visual content
Teasers and campaigns from idea to voice-over and edit
Unit page: AI visual content11 / 14 · Support unit
Sales, market research & resellers
Market insight and reseller support
12 / 14 · Support unit
Foreign trade & international work
Working with our international company
13 / 14 · Support unit
Hardware & quality control
Embedded systems, positioning, VTOL and QC
14 / 14 · Support unit
Support: installation, training & warranty
On-site deployment, user training and after-delivery support
The roles in the team
02Roles
The capabilities that come together on projects.
01
On-premise & enterprise LLM deployment
Running language models on your infrastructure: quantization, serving with vLLM and Ollama, access control and audit logs
02
LLM training & fine-tuning
Data preparation, SFT, LoRA/QLoRA, DPO and evaluation for Persian and your domain
03
AI & vision model training
Training and optimising detection, face recognition, OCR and classification; CPU and GPU deployment
04
RAG & knowledge bases
Document indexing, vector databases, semantic search and Persian Q&A over your knowledge
05
AI agents & multi-agent systems
Autonomous agents, enterprise assistants, MCP tool use and multi-agent orchestration
06
MLOps
Model and data versioning, quality and cost monitoring, continuous deployment and scaling
07
Workflows & Automations
n8n workflows, Telegram bots, content pipelines, automated outreach and nightly reports
08
AI visual content
Idea, script, storyboard, design, animation, VFX, AI voice, mixing, mastering and editing
09
Analysis & product
Requirements, roles and permissions, journeys and acceptance criteria
10
Web, mobile & backend
Public sites, dashboards, Android and iOS, APIs and OpenAPI, data and integration
11
Testing, release & security
Unit and browser testing, CI and Docker, hardening, migration and support
How we work
03How we work
Four habits that repeat across every project.
01
Specialist working groups
Every project combines product, engineering and AI roles — never one person for everything.
02
We use what we build
A big part of the team’s daily work runs on workflows, bots and AI agents.
03
Measurable outcomes
Every project starts with a clear metric and ends with a results report.
04
Owning the know-how
The team built its products and code itself — learning and building are part of the job.
FAQ
Do you publish an org chart?
No — the team works in specialist groups, and each project runs with the mix of roles it needs.
Who owns the code and know-how?
Our products and code were built by our own team — which is why customisation and new modules are possible.
Tell us your project in one sentence — we’ll find the right facet together.
Start the conversation