What does DRYMIX AI do?

DRYMIX AI builds and runs private AI systems that automate repeat work for businesses: writing, research, document handling, support, marketing and admin. We either build the system for you to own, or run the work for you as a service.

What does private AI mean here?

The language model runs on dedicated servers that we control, or on your own cloud or hardware. Your files and prompts are not sent to a public AI chatbot company and are not used to train their models.

Small and mid-sized businesses with repeat work and sensitive data: accounting, legal, healthcare admin, real estate, e-commerce, agencies, media studios and software teams.

Can you help us launch our own AI product?

Yes. We have launched our own AI products from zero to paying customers, so we can run the go-to-market for yours: positioning and the launch page, a beta waitlist, AI-made ad creative, conversion tracking you can trust, and live tests that show which message sells. We can also build the private infrastructure behind it, so your customers' data and creative work stay protected.

How fast can we start?

Most projects start with one call and a working version on your real data within a week or two. You decide whether to continue after you see it work.

Do you have real products in production?

Yes. The biggest is a subscription AI writing app with about 580 new writers a day, which we built and run on our own dedicated model server. We also built and run tools for tax research, market research and workplace AI safety.

Remotely, with businesses anywhere. Calls are over video, and systems run on our servers or yours.

All work

Case study

Go-to-market and AI performance marketing

How our consumer products find paying customers: AI-made ads in every format, tracking you can trust, live tests on real traffic, and a profit dashboard that updates every minute.

The growth engine behind our products

~580: new signups a day, almost all without paid ads
4 formats: of video ad from one brief: vertical, portrait, square, wide
< 3 hours: to check ad-platform numbers against our own sales after a launch

The problem

A new app has to find paying customers fast without burning cash on ads that only look good inside the ad platform's own dashboard.

What we built

AI-made ad creative: motion video in every shape plus matching images, aimed at one audience's real complaints. Every claim is checked against live product data before it runs.
Server-side conversion tracking, so ad platforms learn from real signups and purchases, then reconciled against our own sales records after every launch.
Live 50/50 tests on offers, pricing pages and the first-day experience, called on the earliest clear read.
Lifecycle email at scale: a 37,953-person campaign sent in waves, set to stop itself if complaints or bounces rise.
A profit dashboard that refreshes every minute: money in, ad spend and server costs, side by side.
Spend discipline: when a ten-times budget test added about one paying customer a day, it was switched off within three days.

Privacy

Customer lists and sales data stay with us. Ad platforms get only the signal they need to count a signup or a sale, never anything a customer wrote.

What it taught us

Judge every channel on all the money it brings in, including people who saw an ad and came back later. Then cut it the moment the number says no.

Want something like this for your team?

Book a 30-minute call

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