Capital • Technology • Intelligence

Engineeringthe next advantage.

AZZ CAPITAL is a technology-driven holding building intelligent systems across Artificial Intelligence, Computer Vision, Financial Technology and Algorithmic Trading.

2023Founded
AI + CVTechnology
FinTechFinancial Innovation
AZZ CAPITAL — AzizZadeh Capital Holding
AZIZZADEH CAPITAL HOLDING
The company

A holding built at the intersection of capital and technology.

AZZ CAPITAL combines strategic capital thinking with technology development to turn complex problems into scalable systems and ventures.

Founded in 2023, AZZ CAPITAL — AzizZadeh Capital Holding — is a technology-driven holding operating at the intersection of capital, intelligent technology and applied engineering. The company brings together strategic capital thinking, Artificial Intelligence, Computer Vision, Financial Technology and practical R&D to identify valuable opportunities and solve complex real-world problems. Our work covers research, prototyping, system development and deployment, with a focus on reliable, measurable and scalable solutions. From intelligent vision systems and automotive safety concepts to financial technology and algorithmic trading, AZZ CAPITAL aims to turn strong ideas into practical products, systems and long-term ventures.

Think long-term. Build intelligently. Execute precisely.
2023

Foundation

AZZ CAPITAL is established as a capital, technology and innovation-oriented holding.

2023

Automatic Braking System

Development of a computer-vision concept for detecting road conditions and supporting automatic braking decisions.

2024

Technology direction

Expansion of R&D around AI, Computer Vision and intelligent digital systems.

2024

Breast Cancer Detection

A medical-imaging research project focused on AI-assisted analysis for breast cancer detection.

2025

Financial technology

Development and research around algorithmic trading and data-driven financial systems.

2026

Integrated innovation

Building a broader technology portfolio connecting AI, vision and financial intelligence.

Company resume

The AZZ CAPITAL profile, in motion.

A concise view of our journey, technology capabilities and financial technology direction.

Our timeline

Three years of building.

Founded in 2023, AZZ CAPITAL has progressively expanded from a capital-focused vision into a technology-driven holding.

2023

Foundation

AZZ CAPITAL — AzizZadeh Capital Holding — is established with a long-term focus on capital, technology and innovation.

2024

AI & Computer Vision

The technology direction expands into applied AI, computer vision and intelligent systems for real-world environments.

2025

Financial Technology

Research and development grows around algorithmic trading, market data and systematic decision-making.

2026

Integrated Innovation

AI, visual intelligence and financial technology are brought together into a broader innovation portfolio.

Who we are

Capital with a technology mindset.

We identify valuable problems, design technology-led solutions and build systems that can create measurable long-term value.

01

Strategic Capital

A long-term approach to opportunities where capital and technology can reinforce each other.

02

Applied R&D

Turning research concepts into practical prototypes, systems and technology directions.

03

Data Intelligence

Using data, automation and intelligent models to improve decisions and operations.

04

Global Perspective

Building products and capabilities with scalability and international use cases in mind.

Our team

People behind the technology.

A multidisciplinary team combining computer science, engineering, computer vision and hardware deployment.

01 / COMPUTER SCIENCE

Amirreza Azizzadeh

2021–2025
B.Sc. in Computer Science

A dedicated Computer Science student at the University of Tabriz with a strong academic record, bringing a solid technical foundation and fresh perspectives to the team.

02 / COMPUTER ENGINEERING

Selma Shiea Navaz

2020–2025
B.Sc. in Computer Engineering

A hardworking Computer Engineering graduate with more than two years of teaching-assistant experience and a strong academic record, contributing discipline and practical perspective to the team.

03 / HARDWARE & CV

Farhad Aliabadi

3+ years self-directed study
M.Sc. in Architecture

A self-directed technology practitioner with three years of focused learning in Computer Vision. His main specialization is hardware deployment—bringing vision models to different hardware platforms and camera systems.

04 / MODEL DEVELOPMENT

Alireza Sobhani

Practical CV experience
Computer Engineering Student — Isfahan

A Computer Engineering student with several years of hands-on experience in Computer Vision projects. His core focus is model development, evaluation, testing and fine-tuning for practical applications.

05 / MODEL DEVELOPMENT

Kaveh Rezavand

Senior AI Model Developer
Senior AI Model Developer

Focuses on developing and improving advanced AI models, with an emphasis on model architecture, fine-tuning, evaluation and preparing intelligent systems for practical deployment.

06 / MODEL DEVELOPMENT

Arvin Mehrjoo

Senior AI Model Developer
Senior AI Model Developer

Works on the development and refinement of AI models, focusing on fine-tuning, experimentation, performance evaluation and adapting models to real-world use cases.

07 / AI & SECURITY

Hooshang Babaei

AI Internship
M.Sc. Student in Information Security

An Information Security master’s student and AI intern at AZZ CAPITAL, exploring machine learning workflows and intelligent systems while bringing a security-oriented perspective to AI development.

08 / AI DEVELOPMENT

Arshan Nakhaei

AI Internship
Computer Engineering Student

A Computer Engineering student and AI intern at AZZ CAPITAL, gaining hands-on experience in model development, data preparation, experimentation and practical computer-vision applications.

09 / AI & BUSINESS INTELLIGENCE

Parsa Bahojb

AI & BI Internship
Computer Engineering Student

A Computer Engineering student and AI and Business Intelligence intern at AZZ CAPITAL, working with data, intelligent models and analytical workflows to support technology and business decisions.

Financial technology

A systematic approach to trading.

Our trading R&D converts a defined market methodology into structured, testable and automatable rules.

D1

Market Context

Higher-timeframe context, key levels and market direction establish the broader setup.

4H

Liquidity & Structure

Liquidity, Order Blocks, BOS and FVG are evaluated as part of the setup.

1H

Entry Confirmation

Entry logic combines multi-timeframe alignment, confirmation candles, news bias and risk controls.

Trading team

The people behind our trading research

01 / TRADING

Amirreza Azizzadeh

6+ years
Prop Trading

A trader with more than six years of market experience and prop-trading credentials from ForFX and Propiy, focused on structured market analysis and disciplined execution.

02 / TRADING

Reza Mousavi

Trading Research
Market Analysis

Contributes to market research, setup review and systematic evaluation of trading opportunities within the team.

03 / TRADING

Armin Alagheband

Trading Research
Strategy Development

Works on turning trading ideas into clear rules, reviewing setups and improving the consistency of the team’s strategy framework.

04 / TRADING

Mahdi Sadeghi

Trading Research
Market Research

Supports market research and trade analysis, with a focus on identifying structured opportunities and evaluating risk before execution.

05 / TRADING

Mohammad Abdollahi

Trading Research
Trading Analysis

Contributes to chart analysis, setup validation and post-trade review to help strengthen the team’s decision-making process.

06 / TRADING

Elmira Lotfi

Trading Research
Market & Risk Analysis

Supports market and risk analysis, helping organize trading observations and maintain a structured approach to opportunity evaluation.

07 / TRADING

Sajjad Miri

Trading Research
Market Analysis

Contributes to market analysis and trade setup review, focusing on identifying structured opportunities and supporting disciplined decision-making across the trading team.

08 / TRADING

Nastaran Ebadi

Trading Research
Trading Analysis

Supports chart analysis, setup evaluation and post-trade review, helping the team organize market observations and strengthen its structured trading process.

Technology profile

Computer Vision that sees the real world.

Our computer vision work focuses on recognition, inspection and video understanding in operational environments.

CV / 01

Visual Self-Checkout

Product recognition without requiring shoppers to scan every item individually.

CV / 02

Retail Product Recognition

Object detection and SKU-level visual matching for retail environments.

CV / 03

Vehicle Interior Inspection

Vision-based inspection of controlled vehicle entry points for predefined objects.

CV / 04

Video Action Recognition

Video understanding and activity classification for automated event recognition.

Core capabilities

What we build.

A technology stack spanning intelligent perception, software systems and financial automation.

Computer Vision
92
AI / ML
88
Algorithmic Trading
84
Data & Automation
86
Core capabilities

Technology that solves real problems.

Our work is organized around four complementary capabilities — from visual intelligence to financial systems.

Artificial Intelligence

Machine learning and intelligent decision systems designed to transform complex data into actionable outputs.

Machine LearningDeep LearningAI Systems

Computer Vision

Visual recognition, object detection, video understanding and real-time vision systems for operational environments.

Object DetectionVideo AIRecognition

FinTech & Algorithmic Trading

Research and development of systematic trading technologies, market analysis pipelines and automated execution systems.

Algorithmic TradingMarket DataRisk

Digital Innovation

Digital products and technology ventures with emphasis on usability, scalability, automation and measurable value.

AutomationDigital ProductsR&D
Computer vision

Giving machines the ability to see, understand and act.

AZZ CAPITAL develops computer-vision concepts for real environments where speed, recognition and reliability matter.

Selected R&D directions
Visual Self-CheckoutProduct recognition without traditional item-by-item scanning, designed for fast retail checkout workflows.
Retail Product RecognitionFine-grained recognition of products and SKUs using visual data, detection and intelligent matching.
Vehicle Interior InspectionVision-based inspection concepts for detecting specific objects inside vehicles at controlled entry points.
Video Action RecognitionVideo understanding and action classification for environments where events must be recognized automatically.
Breast Cancer DetectionAI-assisted medical-image analysis research focused on supporting breast cancer detection and clinical decision workflows.
Automatic Braking SystemA computer-vision safety concept for detecting road conditions and supporting automatic braking decisions in real time.
Algorithmic Trading RobotAn R&D system that converts a multi-timeframe trading strategy into structured rules, testing pipelines and automated execution.
Trading & fintech

Systematic thinking for financial markets

Our trading technology work focuses on turning a defined market methodology into a structured, testable and automatable system.

Strategy architecture
D1Market context
4HLiquidity & structure
1HEntry confirmation
Smart Money + ICT + Liquidity analysis
Order Block, BOS and FVG context
News bias and market-trend alignment
Risk management, stop-loss and take-profit logic
Research universe

EURUSD • GBPUSD • XAUUSD

The current strategy research is designed around these instruments, with emphasis on multi-timeframe structure, liquidity and disciplined execution.

Smart MoneyICTLiquidityMarket TrendRisk Management
Selected technology directions

From research to real-world systems

01 / COMPUTER VISION

Smart Retail Checkout

A visual-recognition checkout concept that identifies products as they move through a dedicated capture area and connects recognition to pricing and transaction logic.

R&D
02 / COMPUTER VISION

Vehicle Entry Inspection

A controlled-environment vision system concept for inspecting vehicle interiors at parking entrances and flagging predefined objects for human review.

Concept / R&D
03 / FINTECH

Algorithmic Trading System

A systematic trading-robot research program translating a multi-timeframe market strategy into rules, data pipelines, testing and automated execution.

Development
Our vision

Build intelligent infrastructure for the next generation of business.

AZZ CAPITAL aims to grow a portfolio of technology-driven ventures where capital, artificial intelligence, software and disciplined execution reinforce each other. We are building for measurable value, international scalability and long-term impact.

Contact

Let’s build what’s next.

For partnerships, technology projects, investment discussions and strategic opportunities, connect with AZZ CAPITAL.

CompanyAZZ CAPITAL — AzizZadeh Capital Holding
FocusAI • Computer Vision • FinTech • Algorithmic Trading • Digital Innovation
Founded2023