(Ai)^ Embedded Systems
Public timeline

Milestones, not mystery.

This page keeps the public path readable: what is active now, what comes next, and how AIWF, services, and Rnv1 robotics support one company direction.

Build path

Current public roadmap

Dates are planning targets. The point is to show sequence and discipline: public proof first, prototype architecture next, then integration, field testing, and partner review.

Q3 2026

Public proof and service intake

Publish AIWF material, open a stable download path, and use service work to sharpen the same software, data, and embedded systems base behind Rnv1.

  • AIWF guides and public knowledge pages.
  • Stable download path without breaking active development.
  • Service intake for websites, workflows, AI assistants, and training.
Q4 2026

Rnv1 prototype build

Move from public concept and planning into system architecture and physical prototype work.

  • Rnv1 architecture and milestone breakdown.
  • Sensor suite validation and embedded compute choices.
  • Base platform, control stack, and first integration plan.
Q1 2027

Local AI V1

Connect robotics, embedded systems, and local AI into an onboard software direction.

  • Onboard inference path and logging discipline.
  • Behavior primitives tied to perception and control.
  • Memory and review records for repeatable testing.
Q2 2027

Field testing

Shift from build validation to outdoor trials and reliability work.

  • Outdoor tests with documented conditions and results.
  • Autonomy evaluation and operator handoff notes.
  • Reliability hardening before broader demonstrations.
Q3 2027+

Partner pilots

Prepare focused pilots where scope, safety, data handling, and success criteria are clear.

  • Domain-specific pilot briefs.
  • Fleet and support tooling direction.
  • Developer and operator enablement material.
Why services matter

Services create customer conversations around the same engineering skills Rnv1 needs: software, data handling, local AI, workflows, and embedded planning.

Why AIWF matters

AIWF gives the company public technical proof and a download path while the hardware program moves through prototype milestones.

Why timeline matters

Investors and clients can see sequence: proof, prototype, integration, testing, then pilots.