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Packaged engagements with a defined deliverable and timeline, in five bundles: Ship something, Own your stack, build for XR, Secure a medical device, or Teach your team. Each page says who it is for, what you get, and how it runs. If the package does not fit, the practice areas in the menu cover custom R&D, and if neither fits we will say so and recommend a partner.

Clay model of a grey rocket with blue fins Ship Get a product out the door on a fixed timeline.

  • 0 to App Store
    From idea to a published app in both the Apple App Store and Google Play in one month. Fixed scope, in your repo and your developer accounts.
  • Embedded OTA Device Management
    Over-the-air update and fleet management for embedded Linux and RTOS devices, delivered in 8 to 12 weeks with signed, rollback-safe updates.
  • NixOS for ARM Devices
    Port NixOS to your ARM board or support an existing port. Reproducible images for embedded and edge hardware in 2 to 6 weeks.

Clay model of a blue key on a stack of grey servers Own Take control of the stack so no vendor can take it from you.

  • Tech Stack Ownership
    A 4 to 6 week assessment and roadmap so you own your frameworks, SDKs, and OS instead of renting them from a vendor.
  • Private AI Deployment & Ops
    Run AI models on your own hardware. Sizing, deployment, and operations in 6 to 10 weeks, taking token spend to zero marginal cost.

Clay model of grey mixed reality goggles with blue lenses XR From a headset prototype in days to a shipped mixed reality app.

Clay model of a grey shield with a blue heart Secure Find the holes before the regulator does, on a platform no vendor can pull out from under you.

  • FDA / Medical Device Cybersecurity
    Medical device cybersecurity for FDA premarket submissions: threat model, findings report, and hardened design in 4 to 8 weeks.
  • NixOS for Enterprise
    Migrate enterprise workloads to NixOS: declarative, auditable, and rollback-safe, with follow-the-sun support from our affiliates in Asia.

Clay model of a grey robot at a blue chalkboard Teach Leave your team able to do it without us.

  • AI Ops Training
    A two-week hands-on AI Ops course for 4 to 8 engineers, run on your own repos and pipelines, with a playbook your team keeps.