RFQ intake
Incoming RFQ emails are read automatically. Customer requests are summarized and written into a spreadsheet, no manual data entry.
15 years of hands-on work in manufacturing, additive manufacturing, and automation.
Incoming RFQ emails are read automatically. Customer requests are summarized and written into a spreadsheet, no manual data entry.
Sales team speaks the key details of a customer request. The system transcribes, structures, and generates a draft quote automatically.
Contacts are researched and qualified automatically. Relevant leads enter an email sequence that follows up over several days, selects the email language based on the contact, and runs without manual input.
Built for a trading company with customers on one side and suppliers on the other. Incoming emails are classified, routed to the right party, and where possible, answered automatically.
Customer-facing and internal systems connected automatically. When a status changes in one system, the other updates without manual intervention. Built and tested with HubSpot and JIRA.
A local tool for additive manufacturing teams. Reads G-code files from 3D printer slicers and extracts part names, quantities, material, and build time, eliminating manual reading of slicer output.
Outgoing purchase orders are tracked automatically. If a supplier has not confirmed within a set number of days, a follow-up email is sent without manual intervention.
Reads machine hours from a spreadsheet or log file. When a machine reaches its service interval, an email is sent and a calendar slot is booked automatically for the responsible technician.
When a team member leaves, a structured handover document is generated automatically based on their open tasks, active customers, and supplier contacts.
Sent quotes that have not received a response are followed up automatically after a set number of days, without the sales or admin person having to track or remember manually.
Dr. Çağrı Üzüm is the founder of NovaManufact Automation. He has 15 years of experience in manufacturing, additive manufacturing, and manufacturing software, with a focus on making workflows stable, scalable, and less dependent on manual follow-up.
In previous roles, he led Customer Success at 3D Spark and worked as an Application Engineer at Nikon SLM Solutions. He also held research, business development, and technical sales roles at W.R. Grace & Co. and Surflay Nanotec GmbH, and holds a PhD in Applied Sciences from Technische Universität Berlin.
Personal website
Visit cagriuzum.comLogos represent previous employers and organizations Çağrı has supported in past roles and projects.

















