Report: Startup Creates Technology to Prevent 3D Printing Gun Parts

  • 21 Aug 2026
  • Colion Noir

Opponents of 3D-printed firearm parts, beyond the legality of such restrictions, face the real challenge of blocking this capability on privately owned printers without also stopping ordinary, non-weapon applications.

New York lawmakers enacted a first-of-its-kind prohibition in May on engineering personal firearms at home with this technology. This, however, requires external AI scans of every file submitted for 3D printing, something that should and does alarm anyone with expectations of privacy. 

A 23-year-old entrepreneur from India believes he has the solution, as he explained in an exclusive interview with The Reload.

Developer claims to correct issues of external AI monitoring

Rachit Bhojani of Mumbai told the pro-Second Amendment outlet that his company completed more than one million tests of the Sentinel software for 3D printers.

The success rate? Over 99%.

“At this point, I wouldn’t say I’m very far from production,” Bhojani said. “If someone wanted to deploy this, I can deploy tomorrow.”

This concerns the 2A community but welcome news for New York’s anti-Second Amendment lawmakers who want to head off this emerging technology that allows the creation of firearm parts at home. Something that is already being done.

Second Amendment and privacy concerns will not just go away

It is currently left up to external AI to screen files, but this is a decidedly limited “solution.”

“AI means that I don’t have access to my data,” the businessman explained. “I don’t know what is going to happen to that file. I don’t know where it is going to be stored or who has access to that file. We also work on multiple NDA projects for the government, and that was a no-brainer.”

Bhonjani declared that “using AI and slapping AI on any and all problems is not the solution.”

The developer became fascinated with 3D printing in college, and his company now creates hardware and set pieces for Bollywood film productions. This, he said, led him to realize that the current crop of AI filters is far from a viable answer.

“I started working on a solution myself wherein the base clause was that everything that should happen should happen on the printer itself,” Bhonjani noted. “There’s no need to send the STL or the G-code or any other proprietary information outside the local system. That was the first clause.”

To be sure, governments and private individuals alike do not want their data shared with outside AI and then who-knows-who. 

Current technology compares printer files against known files for firearm parts. This new process uses thousands of measurements of weapon components and looks for “similarities” in what is being printed.

“It’s not just length; it’s volume; it’s surface area. That is multiple lanes,” Bhonjani told The Reload. “We are not doing anything where we are comparing it to a gun database because a gun database does not include innovation. It does not include the creativity of the users, right?”

The report included interviews with prominent members of the 3D printing world. Without access to proprietary information about the software, a fully accurate review is impossible, but the consensus relayed to The Reload was that it was certainly possible.

“I could imagine something like this working if it were trained on some of the more immutable characteristics,” Gatalog Foundation President Matthew Larosiere observed. “Like, any AR lower is going to have the selector, hammer, and trigger holes consistently relative to each other. Similarly, the parts of a Glock frame are going to have cavities in substantially similar sizes, X millimeters apart.”

With other states hot on New York’s heels to criminalize using this cutting-edge tech for homemade firearms and more sure to follow, Sentinel’s development bears close watching.

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