Cut work that took days down to minutes.
cognizzo llc
wyoming, usa
wyoming, usa
AI, made useful.
Start with what we've built. Or tell us what you need.
subtitlebeast — review workspace
and that's the part most teams skip entirely.
You end up paying for the infrastructure twice.
Once when you build it, and again when you migrate off it.
So the question isn't whether the model works.
what changes
The point of any of this.
Put AI where the work actually happens, not beside it.
Change the model without changing the system.
two ways in
Take one of ours, or bring us yours.
Our products are built for problems enough people share. Everything else gets built for the way you work.
products
Software we've already built
Ready to use, priced by what you use, running on our infrastructure.
- SubtitleBeast — transcription and subtitling, finished in the same place it's generated
- Wurqur — automation patterns that run inside your own environment
services
Software built around you
When the thing you need doesn't exist yet, or exists and doesn't fit.
- A defined build, with an agreed shape and price
- Engineers embedded in your team and your repositories
- A short paid discovery, when the answer might be no
which one fits
Not sure which door you're at?
Three questions usually settle it, and none of them require you to know what you want built.
Is someone else already solving this?
If a product exists that does the job, buy it. It's cheaper, it's supported, and you can use it this afternoon.
see our productsDoes it have to match how you work?
Off-the-shelf software makes you change your process to suit it. A build goes the other way round.
talk about a buildCan the data leave your building?
If it can't — for policy, contract or regulation — that rules out most tools before you start comparing them.
see wurqurwhat we build
We build the whole thing, not a slice of it.
Where the work starts depends on you. Where it ends is something running in production.
AI product development
First validated assumption to production.
Workflow automation
Deployed where your data already lives.
Private model deployment
Open weights, inside your environment.
Data pipelines
Auditable rather than clever.
Web and mobile
The part your users actually touch.
Analytics systems
Answering the question you asked.
Integration work
No rewrite you didn't ask for.
Embedded teams
Useful in the first week.
start here
Tell us what you're trying to build.
Thirty minutes is usually enough. If it isn't a fit, we'll say so on the call.