Friday, September 11, 2026

,

2 min read

Rifmont Group Develops Proprietary AI System for Construction Using Private Project Data

Rifmont Group is currently developing a confidential AI system tailored for construction, drawing on its own project data and operational insights to aid internal decision-making.

NEW YORK, NY, UNITED STATES, August 31, 2026 /EINPresswire.com/ — Artificial intelligence is quickly turning into standard gear across the construction industry. Jagroop Bhumber, the founder of Rifmont Group, is wagering that in time, entry to AI itself will matter considerably less than the data fueling it.

Rifmont Group, a development, infrastructure and advisory firm with operations in Vancouver and New York, is working on a private AI environment built around construction expertise gathered from actual projects.

Very few specifics have been made public.

The system is meant to link information across estimation, procurement, permitting, project scheduling, past cost data, and execution records. Instead of launching another commercial AI offering, the aim is to create an internal intelligence layer grounded in proprietary information and real-world operations experience.

“Artificial intelligence itself will eventually become universal. The competitive advantage will come from systems trained on proprietary information unavailable to the broader market,” Bhumber said.

As previously reported by The New York Journal, Rifmont Group has disclosed plans to allocate up to $10 million across real estate, development and infrastructure. Artificial intelligence is anticipated to factor into that strategy, with capital potentially flowing toward private computing infrastructure, exclusive datasets, and specialized technical expertise.

Possible uses range from procurement and permitting analysis to spotting cost irregularities and execution risks before large sums of money are committed.

Precisely how the system is being built remains confidential. Rifmont Group has shared little about its architecture, training methods, or the volume of information being collected.

That lack of disclosure looks deliberate.

“The objective isn’t to build technology for the market. It is to build technology capable of competing with the market,” Bhumber said.

As powerful AI models become easier to obtain, the competitive edge may move away from the models themselves. Exclusive project histories, specialized datasets, and accumulated operational know-how remain far more difficult to copy.

For Jagroop Bhumber and Rifmont Group, safeguarding that intelligence from public view may be exactly where its true worth lies.

The most valuable AI in construction may not be the one that attracts the most users.

It may be the system that never hits the market.

Jagroop Bhumber
RIFMONT GROUP
email us here


David Hall

David Hall

David is the senior editor at TheCyberMag. He has a background in journalism and has worked with various media outlets, covering topics ranging from threat intelligence and data privacy to cybercrime and cloud security. When he is not writing, David enjoys reading, hiking, photography, and exploring new coffee shops.