Service · Systems & Applications
Custom AI Agents
AI agents and systems tailored to your business questions.
We design and build AI agents and systems tailored to your domain, with quality metrics baked in, observability throughout, and delivery pipelines that route results directly into your existing systems.
The situation
An agent that convinces in a demo is not yet an agent a business unit will trust with work. The difference is rarely the model. It is whether results can be measured, whether failures become visible, and whether the system plugs into where the work already happens.
How we work
Scoping the task
We break the task down until it is clear what the agent decides, what it proposes, and what stays with people.
Deliverable
Task boundaries with decision and escalation limits
Architecture and build
We build along your domain. Tools, data access, context, and control flow tailored rather than assembled from a kit.
Deliverable
Working agent system in your target environment
Quality metrics and evaluation
Without a measure there is no improvement. We define what a good result is and check it automatically on every change.
Deliverable
Evaluation suite with domain-specific quality metrics
Observability and delivery
Logging, cost transparency, and delivery paths, so the system can be operated rather than only demonstrated.
Deliverable
Observability, cost attribution, and a delivery pipeline
What you get
- Agent system tailored to your domain and your systems
- Domain-specific quality metrics and automated evaluation on every change
- Traceability across decisions, cost, and failure cases
- A delivery path into the landscape you already run
- Documented handover to your team
Engagement
- Duration
- Depends on the scope of the task and the number of systems to connect. We keep the first step deliberately small.
- Getting started
- A scoping workshop that establishes task boundaries and effort.
- Who is involved
-
The business unit as sponsor and reviewer
Engineering and operations for integration and handover
- Format
-
Iterative delivery with regular, usable interim results
Built in the target environment rather than a sandbox beside it
Handover to your team as part of the engagement
Frequently asked
Do you build on existing frameworks or from scratch?
Where established building blocks fit, we use them, and we build custom where the task demands it. We give reasons for that call rather than treating it as a matter of faith.
What happens after handover if something breaks?
Handover includes documentation and tests so your team can act on it. Beyond that, ongoing support or operations by us is available, but never a condition.
Who owns the code, models, and results in the end?
You do. Code, configuration, and documentation transfer to you in full, in your repositories and your environment. We build so your team can carry on without us.
Where do our data and models run?
In your environment. Your own cloud, your own data centre, or on-premises, in a Swiss or European region on request. Data leaves your environment only for the providers you explicitly approve.
Do you work remotely or on-site?
Both. We are based in Zürich and work on-site across Switzerland; the day-to-day of the engagement works remotely.
Can we start with a small, bounded step?
Yes, and that is the norm. The first slice is deliberately small so something usable exists early and the decision about the next step rests on experience rather than on a plan.