Use case · 01
Store replenishment from demand forecasts
Money metric
Write-offs and lost sales
Industry · 07
Retail
We work where processes are already measured in numbers — the precondition for an honest KPI.
Use case · 02
Promotion planning
Money metric
Losses from promotions that don't pay off
Use case · 03
Product listings from supplier documents
Money metric
Cost of preparing a product listing
How we work
We agree on the result before we start.
We don't sell technology. We take a measurable process, improve its numbers and measure the result against the target sheet signed before we start.
01
Goals and KPI
Before kickoff
Together we choose the process and agree on a financial KPI: what we improve, by how much and how we measure it.
02
Process analysis
30 days
Data and process diagnostics, a working prototype, the first numbers on impact.
03
Implementation
From 3 months
We take the solution to production inside your infrastructure. Part of what you pay us depends on hitting the target: the bonus is a share of the measured impact.
04
Evolution
Ongoing
Quality monitoring, model fine-tuning, expansion to adjacent processes.
Deployment
Your data stays yours.
Three deployment options, from fully isolated to hybrid. The process owner decides; your security team signs off on the requirements.
Isolated
On-premise
Models and data stay inside your perimeter. No external calls — the highest level of control.
- Local GPUs or your own cluster
- Runs without internet access
- On-site certification and audit
Private cloud
Your cloud provider
We deploy in your own account with your cloud provider. You own the infrastructure and the access.
- Your tenant, your keys
- Scales with the load
- Redundancy and SLA
Hybrid
Mixed setup
Sensitive data is processed locally; heavy training runs on dedicated capacity.
- Separation by data class
- Training separate from inference
- Single access control