OUR INFRASTRUCTURE · SIAVASH LABS
Open-model infrastructure
Our infrastructure project for deploying open AI models and connecting them to applications and development workflows.
Own infrastructure projectSiavash Labs · Our own infrastructure project.
Deployment and service integration
Siavash Labs focuses on the infrastructure needed to deploy and use open models. Backend services connect model endpoints to applications and development workflows.
A bounded approach to new workloads
A client integration starts with an agreed workflow, data boundary, deployment environment and acceptance measures. Response quality, latency, failure behaviour and operating cost need workload-specific evaluation; no benchmark or service-level result is implied by this project.
Engineering practices that carry across
Explicit interfaces, controlled releases and failure handling apply across embedded and cloud software. Automotive safety experience informs the approach without constituting AI certification.
Siavash Labs is our own infrastructure project. Experience and attribution
LET’S GET SPECIFIC
Have a similar engineering challenge?
Bring one workflow, representative inputs, data constraints and an expected usage pattern. We agree an integration pilot and what would make it ready for a wider rollout.