Services
AI Infrastructure & Model Deployment
We provide efficiency and cost-savings through precise hardware management. We implement robust monitoring for models in production (MLOps).
Scope
- Auto-scaling GPU instances
- Model Serving & Versioning
- Automated Fine-tuning pipelines
- Model Drift Detection
Technology and tools
- AWS SageMaker
- Kubernetes (K8s)
- vLLM
- Docker
FAQ
Can you take over an existing application or project?
Yes. We start by reviewing the code, infrastructure, documentation, and current issues. We then prepare a takeover, stabilization, and development plan without replacing technology simply because it is less familiar to us.
Do you deliver one-off implementations and ongoing support?
Yes. We can run a fixed audit or implementation and can also provide an ongoing team for maintenance, optimization, and continued development after launch.
How do you estimate a software project?
We first clarify the objective, scope, integrations, risks, and expected timeline. A well-defined project can be estimated by phase, while continuous development is normally based on the agreed team and time commitment.
Can you work with the technology already used by our company?
Yes. We work across web, mobile, backend, cloud, databases, and AI. We select specialists based on the existing stack, architecture, and problem instead of forcing one preferred technology.