What it is
Bringing AI models into your workflows means language models run on your infrastructure and help with specific tasks: reading documents, searching an internal knowledge base or drafting replies. We install local open-source LLMs, adapt them to your data and integrate them with your existing systems. Data never leaves your servers, so confidential information is not handed to external cloud services. We choose the model based on the task and the infrastructure available, not on a single vendor’s offering.
What you get
- Control over data: the models and the data stay on your infrastructure, and you decide who has access.
- A specific use case: AI is introduced into defined work processes with a verifiable result, not as an experiment.
- Integration with your systems: models receive data from ERP, document stores and other sources and pass results back.
- Human oversight: an employee can review, approve or correct whatever the model produces.
How we work
- Consultation: we identify the processes where AI brings real value and assess your data and infrastructure.
- Pilot: we install a model and test it on a limited task using your data.
- Adaptation and integration: we tune the model, connect it to your systems and set quality criteria.
- Rollout and monitoring: we put the solution into production, track its quality and update the models.