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
Solution class
Documents into an action plan
The service reads exports and forms, brings the indicators to a common format and turns the numbers into a clear plan. Value is proven by the change at the next measurement, not by promises.
What's inside
- Calculations in code, not generation
- A second validator pass over the numbers
- A “before → after” cycle
- Critical-value scenarios
These are solution classes, not a catalog: the core is built out for your process and deployed inside your infrastructure.
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 are accountable for the figure agreed up front.
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 it to production inside your infrastructure — and are accountable for hitting the agreed targets.
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.
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
Other solutions
Solution class
Verifiable deep research
Solution class
Communications analyst
Solution class