Product & engineering studio — Porto, Portugal
We replace manual work with software that runs itself.
Radix Catch designs, builds, and ships AI-native systems end to end — the same workflows behind Wonder Money and Chat PDF, now available for your team.
90%
Average reduction in manual effort on automated workflows
2 weeks
Average time from kickoff to production
17 years
Combined product & engineering experience
Product engineering
End-to-end builds, from spec to production, run by a small senior team of product and engineering people.
AI-native automation
We turn manual, repetitive processes into agentic pipelines that run without a person babysitting them.
Speed
The same AI-driven workflows across every project mean weeks to ship, not months, and lower cost throughout.
Workflows
What an agentic workflow actually looks like.
Not a chatbot bolted onto your app. A pipeline that watches for the thing that used to need a person, and handles it end to end.
Trigger
An email lands, a form gets submitted, a file hits a folder — anything that used to start a manual task.
Understand
An LLM reads it and extracts what matters, no matter the format or how messy the input is.
Act
Cross-checks your systems, drafts the next step, and flags the edge cases that genuinely need a human.
Integrate
Updates your tools and notifies the right person — Slack, email, your CRM, your database.
Selected work
Two products we designed, built, and run today.
Tech stack
Any platform. Any model. No lock-in.
We're not betting your product on one vendor. We ship web, mobile, and desktop, and we plug in whichever model — or mix of models — gets the job done today, then swap it the moment a better one ships.
Platforms
Models
How we work
Three steps. No handoffs, no bloat.
- 01
Map
We spend the first days with your team mapping the workflow that costs the most time — not the one that's easiest to automate.
- 02
Build
We design and ship in weeks, not quarters, using the same AI-driven build process behind Wonder Money and Chat PDF.
- 03
Run
We hand over software that runs itself, and stay on to measure, fix, and improve it as your team's needs change.
Engagement timeline
What a typical two-week build looks like.
Day 1
Kickoff
We map the workflow costing your team the most time.
Day 3–5
First build
A real working pipeline against your actual data, not a mockup.
Week 2
Ship
Reviewed, hardened, and live in production.
Ongoing
Run
We stay on to monitor, fix, and improve it.
Get in touch
Tell us what's eating your team's time.
We'll reply within one business day. If it's a fit, we'll set up a call to map the workflow and scope the build.
Or write to us directly at [email protected]