Persian assistants & knowledge
Assistants connected to your documents and business information, helping customers and employees find answers with reviewable sources and defined access.
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.
We design and implement organizational assistants, automation, and data systems around your workflows and existing software.
Assistants connected to your documents and business information, helping customers and employees find answers with reviewable sources and defined access.
Extract information from invoices, contracts, and correspondence and connect it to approval and recording workflows, reducing manual entry and repetitive work.
Connect accounting, treasury, purchasing, inventory, and projects through approval workflows, defined roles, and traceable steps.
Structure and model data, build management dashboards, and monitor KPIs to understand costs, trends, and opportunities to improve.
The principles that guide our work
01Production reliability, monitoring, and review controls are designed from the start
02We treat every project as a partnership. Clear communication, no surprises
03We focus on practical solutions that deliver results, not technology for its own sake
Our work brings technology, data, and business together. Meet the people contributing a different perspective to each part of that process.

Founder & CTO
Founded ZharfAI and leads technical delivery. Works on Persian assistants, document extraction, and the data and integration layers that connect them to existing business systems.

Project Manager
Coordinates project delivery, bringing together machine learning, economics, and business requirements. His background includes AI work at PwC and credit-scoring systems at RiskLab.
Professional background: PwC · RiskLab

Automation Lead
Leads process automation and system integration. Holds a BSc in Mechanical Engineering and an MSc in Mechatronics Engineering, both from Sharif University of Technology.

Finance & AI Strategy
Contributes to commercial strategy and the scoping of financial and accounting projects. His focus is connecting financial analysis with AI applications and assessing the business value of a proposed system.
Professional background: J.P. Morgan · Dana Energy

Data Specialist
Turns scattered business data into structured models, management dashboards, and actionable analysis. His focus is business intelligence, KPI monitoring, and helping teams 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.
Discuss your project