Model deployment
Serve machine learning and LLM models behind reliable, scalable APIs.
- Containerized model serving
- GPU and CPU deployment options
- Versioned releases
AI & MLOpsComing soon
AI & MLOps services
We are preparing a dedicated AI & MLOps service to take machine learning models and LLM applications from prototype to reliable production.
This service is launching soon
Tell us about your use case and we'll contact you as soon as it is available.
What the service will cover
ML pipelines
Automated training, evaluation, and release workflows.
- Reproducible training runs
- Experiment and model tracking
- Automated evaluation before release
Model monitoring
Track quality, drift, latency, and cost once models are live.
- Performance and drift dashboards
- Cost and latency tracking
- Alerts when quality drops
LLM applications
Assistants and retrieval-augmented generation (RAG) connected to your own data.
- Document search and question answering
- Secure access to your data
- Evaluation and guardrails
Planned technology stack
- Python
- FastAPI
- Docker
- Kubernetes
- MLflow
- Prometheus
- Vector databases
- LLM APIs
Frequently asked questions
When will this service be available?
We are finalizing it now. Register your interest and we will contact you as soon as it launches.
Can you help with an AI project today?
Tell us about it. Depending on the scope, our web and DevOps services may already cover what you need.
Let's build what's next
Tell us about your project and get a reply within 24 hours.