Services / Solutions
Enterprise-Ready AI & ML
Solutions
We set up AI and machine learning solutions that work with your company data, ready to run in production.
Enterprise-Ready AI & ML Solutions
Why it matters
Demand forecasting, failure prediction, risk scoring, document classification: with the right model, your data turns into valuable predictions. But a model that works in a trial and a model that runs reliably in production are not the same thing. We build the second kind.
Custom Software Development builds an application; this service builds models that learn from your data and make predictions, and the infrastructure that runs them.
Trials never reach production
Most models stay on someone's laptop.
Models degrade over time
As data changes, performance drops; unmonitored, no one notices.
Data must stay inside
Both training and prediction should happen on-premise.
Results must be measured
A model's contribution should be shown in numbers.
Enterprise-Ready AI & ML Solutions
What we do
Use case
We define which problem data can solve and how success will be measured.
Data preparation
We collect, clean and shape the data for the model.
Model development
We build and measure prediction, classification and recommendation models.
Production deployment
We deploy the model on-premise, traceable and updatable.
Monitoring
We monitor model performance and data drift regularly.
Retraining
When performance drops, we update the model with new data.
Enterprise-Ready AI & ML Solutions
How we work
01Problem and data
Goal, data sources and success criteria.
02Model and measurement
Options are tried and results measured.
03Deployment
The model goes into production, connected to your systems.
04Monitoring and improvement
Performance is tracked and the model kept current.
Enterprise-Ready AI & ML Solutions
What you have at the end
- A model running inside your organization, with documented, measured performance.
- The infrastructure that feeds and monitors it.
- Reports showing the model's contribution to the business.
Enterprise-Ready AI & ML Solutions
How we work with you
Scope agreed up front
We agree the architecture, scope and cost with you before work starts. What you plan is what you pay; no surprise items.
On-premise by default
Our default is your own servers. Data and models stay inside; every route out is documented.
On-site setup
When needed, our team is on site: placing the hardware, first boot, configuration and validation are done with you.
One team
The people who assess, install and operate are the same team. Knowledge is not lost in handovers.
We measure as we go
We test core workflows before every delivery and take a backup before every update.
We stay with you
After installation we keep operating it with monitoring, updates and support. The service level is written in the contract.
Enterprise-Ready AI & ML Solutions
FAQ
How much data do we need?
It depends on the use case; in the assessment we tell you whether your data is enough.
Who owns the model?
The model built for you, and its data, stay with your organization.
How is this different from ready-made language models?
Language models work from general knowledge; the models built here learn from your data.
Enterprise-Ready AI & ML Solutions
Want to see it on your own servers?
We will show our products against your needs, using fictional data.