Working with ITQuarks

No. We deliver outcomes through managed R&D pods, not FTEs you manage. A pod ships against your roadmap with engineering-led ownership, weekly demos, and a clear definition of done. You don't run our timesheets — you accept demos. In practice this means one accountable Engineering Lead per pod, written sprint updates, and quality gates (tests, code review, CI/CD) that you'd expect from an internal team — not a body    shop.

AI Delivery Pod — Engineering Lead + Engineer. Best for focused AI workstreams, MVPs, and integration projects where the scope is technical and the roadmap exists. Product Pod — adds a Scrum/Product PM. Best for end-to-end product delivery where scope shaping and stakeholder coordination are part of the work.                                                  We'll recommend the right shape on the discovery call based on your context.

Yes. Pods are composed of senior generalists who own delivery end-to-end — data pipelines, model fine-tuning, backend, deployment, observability. For specialist workstreams (embedded, computer vision at scale)   we add a domain expert as an add-on.