What does FAURITOR do?
- FAURITOR builds vertical software and AI-enabled systems for real businesses. We ship focused products for specific operating problems, and we build custom software from scratch when the workflow demands it.
Who do you build for?
- We build for businesses with a specific operating problem: work spread across spreadsheets, inboxes and unwritten rules, manual re-entry between tools that do not talk to each other, or a workflow nobody can see end to end. Scope and technical approach come out of discovery, not a template.
How does a project start?
- Every project starts with the workflow as it runs today. We find where work actually stalls, then define the system — the data, the states, who owns what and the hand-offs — before automating the steps worth automating. Exceptions still route to a person. Start with the enquiry form on this page or write to contact@fauritor.com.
Who operates FAURITOR?
- FAURITOR is a software brand operated by MCO Ventures S.R.L. (CUI 52622340, Trade Register J2025075140000), founded and led by Macovei Laurentiu — Founder & CEO. General and legal enquiries go to contact@fauritor.com and privacy enquiries to privacy@fauritor.com. The operator's full identification, including the registered office and the subscribed share capital, is published in the footer of every page and in the Legal Notice. Email is the contact channel; no public telephone number is published.
What are your engineering principles?
- Three, and they are checkable: explicit data contracts and validation at every boundary, so a system fails loudly instead of quietly; security and abuse protection designed into the enquiry path rather than bolted on afterwards; and documentation that matches what was actually built, including the limits of what has been verified.
Do you take on custom systems, or only products?
- Both. HVAC ProfitGuard is our first vertical product. Alongside it we build custom systems for businesses with a clearly defined operating problem: internal tools that make work and ownership visible, automation pipelines with exceptions that still route to a person, and data layers that support decisions. Scope and technical approach come out of discovery, not a template.