Start with a focused discovery sprint, bring Qentra.cloud in as an implementation partner, or use advisory support for ongoing platform, AI, and security decisions.
Scoped project
A focused assessment for teams that need clarity before committing to an AI, cloud, or Kubernetes implementation.
Monthly delivery engagement
Hands-on engineering support for building AI automation, platform engineering, Kubernetes, or DevSecOps improvements.
Custom advisory retainer
Ongoing technical guidance for teams scaling production platforms, AI workloads, and security practices.
Pricing is finalized after a short review of goals, systems, data sources, stakeholders, and delivery constraints. This keeps estimates tied to real engineering work instead of broad consulting assumptions.
The tiers provide starting points. Scope, timeline, and cost are finalized after a short discovery discussion because AI automation, cloud engineering, and Kubernetes work depends on the current environment.
Yes. Discovery Sprint and focused implementation scopes are suitable for one-time projects when the goals, technical constraints, and handover expectations are clear.
Teams usually start with Discovery Sprint when the workflow is undefined and Implementation Partner when the target workflow, data sources, and integration points are already known.
Share the outcome you want, the systems involved, and any timeline constraints. Qentra.cloud will respond with the most suitable tier and a practical next step.
