Ship Quality
Production reliability, monitoring, and review controls are designed from the start
We are engineers, data specialists, and business analysts. We work alongside organizations to turn their data, knowledge, and processes into dependable tools for everyday work.

ZharfAI was founded in 2022. We develop Persian AI systems for finance, operations, and customer service. From organizational assistants and document extraction to workflow automation and management dashboards, our focus is building tools that become useful in everyday work.
Our team brings together electrical and mechanical engineering, economics, software, and information technology. Members have studied or conducted research at the University of Tehran, Sharif, Shahid Beheshti, LMU Munich, LSE, Warwick, Islamic Azad University, and TVU. Each profile below sets out the person’s field and academic background.
Team members’ professional backgrounds include work at PwC, RiskLab, J.P. Morgan, and Dana Energy. We combine that experience with an understanding of Iranian businesses, from defining the problem and preparing the data to integrating with existing systems and evaluating results.
More about our servicesThe principles that guide our work
Production reliability, monitoring, and review controls are designed from the start
We treat every project as a partnership. Clear communication, no surprises
We focus on practical solutions that deliver results, not technology for its own sake
Our team brings together data and software engineering, automation, finance, and project delivery.

Founder & CTO
Founded ZharfAI and leads its technical delivery. His work spans Persian assistants, document extraction, and the data and integration layers that connect these tools to business systems.

Project Manager
Coordinates projects and their delivery. He brings machine learning and economics together to connect business requirements with technical decisions and execution.
Professional background: PwC · RiskLab

Automation Lead
Leads process automation and system integration. He connects repetitive tasks into workflows that teams can monitor and manage across their systems.

Finance & AI Strategy
Helps shape ZharfAI’s commercial strategy and scope its finance and accounting projects. He connects financial analysis with AI applications to assess the business value of each proposed system.
Professional background: J.P. Morgan · Dana Energy

Data Engineering
Develops data pipelines and backend systems. His work connects machine learning and software engineering with the practical needs of industry.

Data Specialist
Turns scattered business data into structured models and management dashboards. His work in business intelligence and KPI monitoring helps teams understand performance and make decisions grounded in data.
A slow process, a fragmented source of data, or a decision that needs better information. That is where our conversation begins.
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