After invite-only early entry, the desktop app from the workforce behind Brevis is now open to anybody on Mac and Home windows.
HONG KONG, November 11, 2026: Arca, a brand new desktop app from the workforce behind Brevis, opened to the general public at present. Arca pays individuals for the AI periods they’d in any other case throw away. It finds the session historical past their AI instruments already carry on their laptop, lets them select which periods to submit, strips delicate particulars on the gadget earlier than something is uploaded, and pays for the periods which might be permitted. Beginning at present, anybody can enroll with an electronic mail deal with, with no invite and no waitlist.
A lot of at present’s information work runs by way of AI instruments. Folks steer a mannequin by way of a process, correcting it, throwing out what fails and conserving what holds up. Each a type of periods leaves an in depth file of actual work: the back-and-forth, the useless ends, the repair that lastly labored. These data pile up by the hundreds on individuals’s computer systems, and as soon as the window closes, they’re price nothing to the one that did the work. Arca offers that work a worth.
The way it works
Arca works with the AI instruments individuals already use, together with Claude Code, Codex, Cursor and Claude Desktop. After putting in the app, customers see the periods Arca has discovered on their machine, previous ones included. They decide a session to add, and Arca anonymises it on their laptop earlier than it leaves, then returns a quote vary. Customers both affirm, which sends the session to assessment, or withdraw, during which case the add is deleted. Permitted periods are paid weekly.
Arca solely reads periods which might be already on the person’s laptop, and it lists every little thing it finds. Nothing uploads within the background, and nothing leaves the gadget till the person picks a session and confirms. Earlier than a session is uploaded, Arca strips names, file paths, account particulars and keys, and additional anonymising runs on Arca’s aspect.
“Each AI session is a file of actual considering and actual work, and till now the one that did that work acquired nothing for it,” stated Michael, co-founder and CEO of Brevis. “Arca lets individuals see what their periods are price and resolve for themselves what to share. We opened it in small batches first to get the expertise proper. Right now it’s open to everybody.”
Constructed for actual work in any area
Arca is constructed for anybody who does actual work with AI, from code to contract critiques, analysis and lengthy working conversations. Classes with Claude Opus and Fable, and with the newest GPT fashions in Codex, qualify at present, with extra to come back. Very quick periods don’t qualify, and each submission is reviewed earlier than it pays. Customers can join GitHub to strengthen their profile, which might increase the worth of their periods, but it surely isn’t required.
Arca carries the precept behind Brevis’s verifiable computing work into a brand new area: issues you’ll be able to confirm are price greater than issues you need to belief.
Availability
Arca first opened on October 13 in invite-only early entry, admitting customers in small batches. With at present’s launch, the invite requirement is gone. Customers enroll with an electronic mail deal with or a Google account and might begin straight away. Arca is free to make use of and accessible now for Mac and Home windows at arca.market.
By November 30, the Arca Launch Problem provides $10,000 in prizes on prime of normal payouts for permitted periods.
About Arca
Arca pays individuals for the AI periods they’d in any other case throw away. The desktop app finds the periods individuals’s AI instruments already preserve, lets them select what to share, anonymises periods on the gadget earlier than add, and pays for permitted periods. Arca is constructed by the workforce behind Brevis. Be taught extra at arca.market.
About Brevis
Brevis builds verifiable computing infrastructure. Its zero-knowledge proving know-how, together with the open-source Pico zkVM, lets purposes show the outcomes of advanced computations. Be taught extra at brevis.community.
Media contact
Nicolas Tang
