Five operations we built and now run — each one a tool a company uses every day instead of doing the work by hand. Not slides, not demos: live software, in real businesses, today.
Carlos was spending 8–10 hours a week editing videos for social — or paying an editor and waiting 2–3 days for every turnaround.
Editing for social ate a full workday every week, or meant paying a freelancer and waiting days for each clip.
A SaaS where Carlos drops in raw, unedited footage and gets back finished videos — cut, captioned and formatted, ready to post. No editor, no waiting.
From ~45 minutes of editing per clip to a 3-minute review — about 5× more videos shipped each week, and no freelancer bill.
Nureal needed a steady presence on social — but creating, scheduling and posting was eating a founder's afternoon, every week.
Staying visible meant someone writing, scheduling and posting every week — so it slipped, the feed went quiet, and reach paid for it.
An autopublisher: it generates social content, lays it out on a posting calendar and publishes across channels automatically — a full content pipeline that runs on its own.
From sporadic posts to 5+ a week, fully automated — roughly 6 hours a week back, and a feed that never goes quiet.

We needed to reach prospects at scale without burning a team on the phones all day — so we built our own.
Reaching prospects at scale meant a room of reps dialing all day — costly to staff, hard to keep consistent, and capped by human hours.
Grace, our in-house cold-calling agent: she dials businesses across a target industry, pitches CadenSpark, handles objections and books qualified meetings straight onto the calendar — voice AI on the phones all day.
300+ dials a day, ~6 qualified meetings booked a week — at a fraction of a human SDR's cost per lead.

At AAR Sarasota, calls came in while the team was under a car or with a customer — and every missed call was a missed customer.
Calls landed during work at the counter or in the bays. Voicemail and after-hours rings turned straight into lost customers.
Ethan, an AI receptionist who answers every call as the shop — quotes exact prices by vehicle, books appointments into the bay calendar, and calls leads back to keep the sale moving. Bilingual EN/ES.
Every call answered, missed calls down to near zero, ~30 appointments booked a month, and hours of counter time freed each week.
From a US trend to a vetted China supplier — without the guesswork that rides on every order.
assets/importer.jpg.
Sourcing decisions rode on intuition and scattered manual research: trends in one tab, local competitors in another, suppliers in a third. High risk on every order, slow to move on a trend.
A product-research engine: it spots trending products in the US, checks who already sells them in Argentina and at what price, then sources suppliers in China — so buying decisions start from data, not hunches.
Smoke-tested end to end: days of manual research compressed into minutes per product — and the first products it surfaced were imported and sold.
Each of these is live in a real business today — but they're examples, not a catalog. If your team does something over and over, that's what we build for you.