AICUT: State-of-the-Art Cyber-Technology for CNC Turning

Brief Description

AICUT is the world’s first cyber-technology capable of performing the work of a specialist for CNC turning machines.

How the Technology Works

The user enters parameters from the drawing for each constructive-technological element (CTE) that makes up the part on the website. By pressing a button, they instantly receive the machining technology for the part, the NC (numerical control) program, calculation of machine time and batch processing cost, as well as a visualization of the machining process.

Problems Solved

• No experience operating CNC machines is required—reading technical drawings is sufficient.
• Simple and fast processing of uncomplicated parts using DXF files.
• Work from anywhere, anytime, on any device with internet access (smartphone, tablet, PC).

Unique Advantages

• No analogues exist today with automatic preparation of technology and NC programs based on a scientific discovery—a limited set of CTEs.
• The speed of preparing technology and NC programs is tens of times higher compared to existing methods.
• Customer costs are reduced by hundreds of times by minimizing expenses for the technologist’s workplace, software, and specialist salary.
• Automation level: 95–100%.

Independent Expert Review

Commercial Prospects

• Potential Markets: Companies using CNC turning machines from Fanuc and other manufacturers, across all sectors of mechanical engineering and in all countries worldwide.
• Target Audience: All mechanical engineering enterprises interested in automating the preparation of control programs.
• Projected Profit and Market Share: Expected to capture about 30–40% of the global market for NC program preparation for CNC turning within 1–3 years, estimated at $45–60 billion.
• Focus is on the service market for preparing technology and NC programs, not on selling CAM systems.
• Additional revenue sources possible, such as advertising following the Google model.

Competitive Advantages

• No direct competitors with similar functionality and level of automation.
• Uniqueness of the technology, based on a scientific discovery.

Sale Offer

• Potential buyers are invited to independently assess the value of the project and determine the desired share for acquisition.
• It is recommended to carry out the transaction in stages: starting with the sale of a 1% share, and upon successful cooperation and mutual satisfaction, proceed to sell a larger share.
• The author wishes to transfer the further development of the technology to investors or partners, given the lack of support in Russia, difficulties in protecting intellectual property, and unfavorable conditions for development.

Biography and Professional Skills of Viktor Turta

• Born: March 23, 1955, Salavat, Republic of Bashkortostan.
• Education: Higher technical education, Ufa Oil Institute, 1981, specialty: “Machines and Apparatus for Petrochemical Production,” qualification: mechanical engineer.
• Work Experience and Achievements:
  • Over 20 years in mechanical engineering, including 8 years at NPO “Energia” named after academician S. P. Korolev. Engaged in milling, machine part design, technological tooling, and CNC programming.
  • 40 years of programming experience in more than 10 languages.
  • Creator of the world’s first expert system in 1987.
  • In 1987, made a scientific discovery—identified a limited set of CTEs to synthesize or decompose a part of any complexity.
  • In 2006, demonstrated a prototype of an intelligent CAM system for mobile devices operating in a browser, recognized as a major modern discovery by Professor Y. A. Bocharov.
  • Since 2018, has been developing the world’s first cyber-technology capable of performing the work of a specialist in preparing NC programs for CNC turning machines. The technology is now at a commercial level and ready for market launch.
• Personal Statement: Ready to consider offers from governments and investors for relocation and commercial deployment of the technology. Notes the absence of support and recognition in Russia, despite many years of work.
• Professional Skills: Development of intelligent CAM systems based on his own scientific discovery, deep knowledge of mechanical engineering and programming. Basic English skills, experience in correspondence using translation tools.