The AI team inside your business.

We run the work that moves your numbers, own the result, and know your business better every month.

Today's list19 houses pricedrunning
real figures, streets hidden6 Oct run

Built on the tools a business already runs on

Five businesses. What changed for each.

Systems that keep running and get better every turn.

E-commerce

A martial arts brand gets its videos made for it. A fashion brand answers its shoppers on its own.

$4K+a month in content savings Ji Martial Arts
Ji Martial Arts, a martial arts e-commerce brand

Workout videos made and scheduled from one message.

A workout video maker. Ask for a 12, 15 or 40 minute workout in a chat. It makes the video, saves it to Drive and schedules it.

PinkTree, a fashion brand

Shoppers who leave a cart or comment on a reel get a reply with the link, on their own.

Rs 1 lakh+in orders from WhatsApp messages in one sale

A consultancy for the brand: ads, Shopify and the backend work, plus the automatic WhatsApp and Instagram replies.

Real estate

Houses behind on taxes arrive already priced, and a deal gets its offer in about 15 minutes.

~15minto price a deal, down from about a month Anterric
Today's list, most behind on taxes first

A priced list of houses behind on taxes, every morning, with nobody reading county sites.

Our own product, made for house buyers. It reads the county tax roll every day, finds recent sales nearby and works out the most to pay for each house. From the 6 Oct run, streets hidden.

The third house, opened: Grand Prairie, TX
Behind on taxes
$30,236
owed to the county
Fixed-up value
$280,139
from 4 recent sales
Most you should pay
$121,158
after repairs and fee
Room after taxes
$90,922
most to pay, minus owed

$280,139 x 0.7, minus $66,990 repairs, minus $7,949 fee = $121,158

Anterric, a real estate investor

From about a month to about 15 minutes.

When a deal moves to Underwrite in his CRM, the engine picks recent sales nearby, works out the most to offer and writes the answer back.

Hackathon

3rd of 200+ teams at the Swans Applied AI Hackathon, and a second build for its next edition.

March 2026: a personal injury law firm, as set in the challenge

About 90% less data entry (estimated).

Upload a police report and the AI reads out the details. A paralegal checks them, then the case is created and the retainer is emailed.

July 2026: Exhibit A, for case chronologies

A case timeline for cents, against $28 to $150 at market rates.

It reads a case's treatment records into one timeline and draws the gaps in treatment that the other side will attack.

AI agency, under NDA

We build for an established US AI agency serving construction and real estate firms.

  • Analytics and attribution
  • Organic social
  • Lead capture
  • Client portals
  • Funnels and checkout

Our own tools

We run AugmentLoop on three tools we built ourselves.

The planner, today

Our whole day on one screen.

Tasks, habits and what needs us, in one list. Tick it off and it counts.

The phone agent, on Telegram

Say it once and it is filed.

Message it on Telegram and it saves the note, then reminds us the next morning.

The reel library, on one canvas

Every idea we save, easy to find.

Saved reels turned into cards on one zoomable canvas, sorted by topic.

More we have built.

Rivina Recruitment

2min per candidate intake, from 45

Candidate intake went from 45 minutes to 2. About 15 hours a week back for the team.

Forms feed straight into the recruiting CRM, with no duplicates and nothing dropped.

Allix GmbH (built on Gooflow)

~25hours a month back (estimated)

Invoices filed without anyone touching them.

Invoices move from the ERP into the document archive, filed and indexed.

Vipra

In progress

A WhatsApp AI image stylist.

Ready to stop doing ops by hand?

No pitch deck. Walk me through what's eating your team's time, and I'll tell you if automation makes sense. If it doesn't, I'll say so.

Book a call

A 30-minute call.