AI & machine learning
Models that earn their keep in production
Models that predict demand, stock and risk from your own data — and keep learning as your business changes.
Typical build: 8–12 weeks
Is this you?
Problems we hear on first calls
“We order stock on gut feel and end up over or under.”
“Our forecast lives in one person's spreadsheet.”
“We have years of data and nobody can use it.”
What we build
What you get
Demand and stock forecasts
Know what to reorder, and when, per product and location.
Risk and fraud scoring
Flag the orders, claims or customers that need a second look.
Document extraction
Pull fields from invoices, forms and PDFs into your systems.
Model monitoring
See when accuracy drifts, before it costs you.
Under the hood
For your CTO
The technical decisions behind every build, written down and handed over.
- Python, PyTorch and scikit-learn; models served with FastAPI
- Evaluation against your own historical data before launch
- Drift monitoring with scheduled retraining
- Deployed in your cloud account, every model version tracked
How long and how it works
Typical build: 8–12 weeks
Most builds go live in 8–16 weeks; larger ones ship in phases. Fixed price agreed up front, a working demo every Friday, and your code in your repo from day one.
How much data do we need?
Usually less than people expect. On the free call we look at what you have and tell you honestly whether a model is worth building yet.
Will the model keep working as things change?
We track accuracy every week and retrain when it drifts, so you see the change before it affects a decision.
Where does our data live?
In your own cloud account. We never copy it to ours.
Free · 30 minutes · No sales deck
Tell us what's slowing you down
Talk to a senior engineer, not a salesperson. You'll leave with three concrete next steps — whether or not you work with us.