A model is only good if it beats the method you use today.
Stratalytic builds machine-learning models that are benchmarked against your current method on your own data, and only continues when the improvement is measurable. Senior, hands-on, without agency overhead.
What the first call gets you
30 minutes, free, with a solution architect.
- The prediction that improves your most expensive decision
- A benchmark plan: model vs naive baseline vs your current method
- An honest data-readiness verdict, sometimes the answer is 'not yet'
- Fixed price and timeline for the full model-to-production project
20-40%
Typical error reduction vs baseline
1.500+
SKUs forecast weekly in production
2-4 wks
From intake to live
100%
Yours, code and model
You talk directly to a solution architect.
At Stratalytic you talk to the solution architect who also builds the models, no bench of consultants. In 30 minutes we find the prediction that improves your most expensive decision, and you'll hear honestly whether your data can carry it.
Measured at these companies
Sound familiar?
The data scientist vacancy has been open for months
Senior ML people are scarce and expensive, and a junior alone won't get a model into production. Meanwhile the use cases are waiting.
You have dashboards, but no predictions
BI tells you what happened. The decisions that cost or make money (purchasing, pricing, retention) need to know what happens next.
A previous model never left the notebook
It scored well in a presentation and was never wired into daily operations. A model that doesn't change a decision is a cost, not an asset.
Curious what this looks like on your data?
Book a free 30-minute call with the solution architect who also builds the work. You walk through your processes together and get an honest answer on where the numbers are for you, and where they are not.
Free intro call
30 minutes, no obligation, directly with the builder.
How it works, measured at every step
30 minutes with the solution architect
You talk directly to the solution architect who builds the models, no layer in between. Together you pick the prediction that improves your most expensive decision, and you get an honest answer on whether your data can carry it.
Benchmark on your own data, under NDA
We run models against a naive baseline and your current method on your real history. You see per segment what improves, in writing, before you commit to anything.
To production, documented, you own it
Model, integration and monitoring in your own environment, at a fixed price. Documentation and handover included; your team can run it without us.
Why not an agency or a hire?
| Agency | Own hire | Stratalytic | |
|---|---|---|---|
| Who does the work | Whoever is on the bench | One hire, if you find them | The architect you spoke to |
| Proof upfront | Credentials and cases | CV and interview | Benchmark on your own data |
| Cost | Partner rates, open-ended | €80-120K/yr + recruiting | Fixed price per project |
| After delivery | Follow-up contract | Depends on retention | You own documented code |
Before you book
How is this different from a data science agency or staffing?
At an agency you pay partner rates and get whichever team happens to be on the bench; with staffing you rent hours without a results agreement. Here you talk to one senior who builds it himself, with a fixed scope and a measurable criterion: the model must demonstrably beat your current method.
How do you prove a model is actually better?
Every prediction is benchmarked against a naive baseline and against what you do today, on your own historical data with an honest train/test split. You get the outcome per segment in writing. If we don't beat your current approach, you'll hear it, before any project starts.
What kind of problems fit?
Predicting and prioritising with tabular business data: demand forecasting and inventory, churn and customer value, price elasticity, quality and fraud detection, lead scoring. No research-lab work; models that improve a concrete decision in your operation.
What does it cost?
A benchmark or first proof-of-value is fixed-scope and costs little to nothing; a full model-to-production project typically runs €15,000-€40,000, fixed price. A fraction of a year of staffing, and you keep working, documented software.
Won't this end up in a drawer like so many models?
The project is only done when the model runs in your operation: wired to your systems, with monitoring, documentation and handover. You own the code and your team can continue without us, ongoing support is available but never mandatory.
