AI That Runs in Your Building.

Costs depend on the scale of deployment, the models selected, and the level of integration with existing systems. A typical mid-size deployment including hardware, licensing, and integration starts in the mid five-figure range. We provide detailed cost breakdowns after an initial assessment.

We deploy all major open-weight models including Meta Llama, Mistral, Mixtral, and leading European models. The choice depends on your use case, language requirements, and hardware constraints. We also support multi-model setups where different tasks use different specialized models.

A standard deployment with DESTINY takes four to eight weeks from kickoff to production. This includes infrastructure setup, model deployment, integration, testing, and team training. Complex enterprise rollouts with multiple departments may take three to six months.

Yes. Since all data processing happens on your own infrastructure, no personal data is transmitted to external servers. This eliminates the most common GDPR concerns associated with cloud AI services. We also provide compliance documentation and audit trail capabilities out of the box.

Requirements depend on the model size and expected throughput. For most enterprise use cases, we recommend NVIDIA A100 or H100 GPUs. Smaller models can run effectively on consumer-grade hardware like the RTX 4090. We design the hardware specification as part of our assessment phase.