Enterprise Artificial Intelligence Solutions

We design intelligent AI systems that automate business processes, optimize operations, and transform data into actionable insights.

Saha Arousha Abidar

Services

01

AI Chatbots

Conversational agents that handle support, sales, and internal workflows around the clock.

02

Computer Vision

Visual inspection, detection, and monitoring systems built for industrial and clinical use.

03

Natural Language Processing

Text understanding, extraction, and generation tuned to your domain and language.

04

Predictive Analytics

Forecasting models that turn historical data into forward-looking decisions.

05

Recommendation Systems

Personalization engines that match products, content, and services to each user.

06

Intelligent Automation

End-to-end process automation combining AI with existing enterprise systems.

07

Data Analytics

Pipelines and dashboards that surface the metrics that matter.

08

AI Consulting

Strategy and architecture guidance for organizations adopting AI at scale.


Featured project

09

CITe — Estimator of COVID-19, IAQ and Thermal Comfort

A fast, low-input tool that evaluates natural ventilation strategies in office rooms against airborne transmission risk (R0), CO2 concentration and thermal comfort — the whole year read at once, from a handful of early-design inputs.

  • Machine learning
  • Natural ventilation
  • Indoor air quality
  • Thermal comfort
Open the tool →

Who we work with

  • Businesses
  • Factories
  • Government Organizations
  • Universities
  • Hospitals
  • Banks
  • Startups
  • Research Centers

Technology stack

  • Python
  • TensorFlow
  • PyTorch
  • FastAPI
  • LangChain
  • OpenAI
  • Docker
  • Kubernetes
  • Azure AI
  • AWS
  • Next.js
  • React
  • TypeScript
  • Tailwind CSS

About

Research-grade AI, built for production

Saha Arousha Abidar builds artificial intelligence systems for enterprises, institutions, and government bodies — from prototype to deployed platform.

team / office photograph


Books published

Intelligent Algorithms for Load Management and Resource Scheduling in Cloud Computing: Foundations, Methods and Applications
Book

Intelligent Algorithms for Load Management and Resource Scheduling in Cloud Computing: Foundations, Methods and Applications

Author: Farzad Majidi · Editor: Aida Rahmani · Ketabcheh Publications · Academic Series, Vol. 1

Volume one of the Advanced Topics in Computer Science series, devoted to load management and resource scheduling in cloud environments. The book moves from the foundations of cloud resource models and workload characterisation to classical scheduling policies, metaheuristic optimisation and learning-based schedulers, closing with applied case studies on energy consumption, cost and service-level guarantees. Intended for graduate students, researchers and engineers working on distributed and cloud systems.

  • Cloud Computing
  • Load Balancing
  • Resource Scheduling
  • Metaheuristic Optimization
  • Reinforcement Learning
Link Prediction in Biological Networks: Algorithms, Theory and Application
Book

Link Prediction in Biological Networks: Algorithms, Theory and Application

Author: Farzad Majidi · Editor: Aida Rahmani · Ketabcheh Publications

A comprehensive reference for the study of heterogeneous biological networks, covering the algorithms, theory, and applications of link prediction — protein analysis, diseases, biological pathways and processes — treated with modern computational models. Written for researchers, students, and specialists in biotechnology, data science, and computer science.

  • Link Prediction
  • Biological Networks
  • Graph Algorithms
  • Complex Networks
  • Bioinformatics
Quantum Computing and Its Algorithms: A Theoretical and Applied Approach
Book

Quantum Computing and Its Algorithms: A Theoretical and Applied Approach

Compiled by: Farzad Majidi · Editor: Aida Rahmani · Ketabcheh Publications

An end-to-end treatment of quantum computation and the algorithms built on it — from the theoretical foundations of qubits, gates and circuits through to applied quantum algorithms and their use in optimization and machine learning.

  • Quantum Computing
  • Quantum Algorithms
  • Qubits & Circuits
  • Quantum Machine Learning
  • Optimization
Deep Learning: From Concepts to Implementation with Python
Book

Deep Learning: From Concepts to Implementation with Python

Compiled by: Farzad Majidi · Editor: Tina Abdollahi · Ketabcheh Publications

A practical guide to deep learning built around the Python ecosystem, taking readers from the underlying mathematical and conceptual foundations through to hands-on implementation of neural network architectures. Covers core building blocks, training and optimization, and applied examples suited to students and practitioners moving from theory to working code.

  • Deep Learning
  • Python
  • Neural Networks
  • Applied Machine Learning

Papers & articles

2025

Hybrid deep learning for automated industrial defect detection

Journal article · peer reviewed

2024

Domain-adapted language models for Persian enterprise documents

Conference paper

2024

Predictive maintenance under sparse sensor data

Journal article · peer reviewed

2023

A practical framework for deploying AI in public organizations

Technical report


Leadership & team

Farzad Majidi
Managing director

Farzad Majidi

Founder & CEO — SAHA AROUSHA ABIDAR

Farzad Majidi is an Artificial Intelligence researcher and Quantum Machine Learning specialist. His research and professional work focus on developing next-generation AI technologies that bridge advanced scientific research with real-world industrial applications.

In addition to leading AI research and industrial projects, he authors technical books, publishes international scientific papers, and advances intelligent technologies across quantum and classical computing.

His vision is to accelerate the adoption of AI and quantum technologies by delivering innovative, scalable, and enterprise-ready solutions.

  • Quantum Machine Learning
  • Quantum Computing
  • Deep Learning
  • NLP
  • Computer Vision
  • Recommender Systems
  • Link Prediction
  • Complex Network Analysis
  • Cloud Computing
  • Biological Networks

A compact team of machine learning engineers, data scientists, and software architects delivering AI systems end to end — from data pipelines to deployed production services.

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Team member
Machine Learning Engineer
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Team member
Computer Vision Engineer
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Team member
Data Scientist
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Team member
Software Architect

Contact

Location
Kurdistan Commercial Complex
First Floor
Unit 284
Sanandaj, Iran

Ready to build with AI?

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