AI integration.
AI chatbots and analytical agents built into your real product and operations - safely, measurably, and only where they actually pay off.
- Client-facing chatbots
- Analytical agents for large data
- AI use-case discovery
- LLM feature design
- Systems integration
- Evaluation & safety
- Maintenance & iteration
Use-case discovery
We find where AI genuinely earns its place in your operation - and say so plainly where it doesn't.
Prototype
A working proof of concept on your real data, so the decision to invest is made on evidence, not demos.
Integration
The feature is embedded into your actual product and workflows - chatbots that serve clients, agents that untangle large data threads.
Measurement
Defined success metrics, evaluation and iteration - AI that's accountable to numbers, like everything else we ship.
What kinds of AI do you build?
Two main families: client-facing chatbots that interact with your customers, and analytical agents that work like analysts - capable of untangling large data threads to support decision-making.
Is our data safe?
Data handling is designed per project: where the data lives, what the model sees, and what's logged are decisions we make explicitly with you - and document. Regulated environments are familiar territory for us.
How do we know it's working?
Every integration ships with success metrics defined upfront and evaluated continuously. If an AI feature can't be measured, we don't consider it shipped.
From Zagreb to the world.
Tell us what you're building. We'll tell you the sharpest way to ship it.
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