Engineering services

AK-mee™

Engineering for the systems that can't fail.

AI-augmented engineering, built on the discipline of high-stakes systems work. Startup speed. Rapid prototyping, systems engineering, demo development, field support, and AI-augmented consulting.

hello@akmee.net  ·  akmee.net

Five service areas.

Pick one, pick all five. Each engagement is led by the principal and executed by the fleet.

01

Rapid prototyping

From a spec, a sketch, or a napkin idea to a working demo in days — not weeks. We run research, design, build, and test in parallel so you see something real fast.

02

System engineering

Full-stack from bare metal to cloud. Hardware bring-up, firmware, backend services, data pipelines, and front-end — designed as a system, not bolted together.

03

Demo development

Investor decks are fine. A live demo that does the thing is better. We build demos that hold up under scrutiny — real data, real hardware, real performance.

04

Field support

Real-world capture and validation in the operating environment — not just the lab. Data capture rigs, accuracy gates against canonical reference data, and validated artifacts at production fidelity.

05

AI-augmented engineering consulting

Technical analysis at fleet velocity. White papers, RFP technical responses, code-base audits, architecture reviews, and build-vs-buy assessments — produced by the agent fleet under principal review. Consulting depth without consulting overhead, on the timelines startups actually run.

Three ways to work with us.

Pick the model that fits your team, timeline, and how much you want to own the process.

1

Done for you

AK-mee runs the engagement end-to-end.

  • The principal architects the system, leads every call, and signs off on all deliverables.
  • Full fleet — PM, build, QA, research, security, DevOps — on your project from day one.
  • You own the IP and the repo. We own the outcome.
Start a conversation →
2

Your own AK-mee team

Dedicated fleet operating under your direction.

  • A named PM, build engineer, and QA agent assigned exclusively to your project.
  • You set priorities and approve ship gates — the fleet executes.
  • Transparent task board, daily build artifacts, and a principal available for technical direction.
Tell us what you're building →
3

AI-team enablement

Stand up your own AI engineering fleet.

  • Methodology, tooling, and agent-fleet patterns — transferred to your team.
  • We configure and validate your fleet; your engineers own it after handoff.
  • Includes workflow design, regression harness setup, and a principal review of your first ship cycle.
Ask about enablement →

Principal + agent fleet model.

Each project is led by the principal — the architect who sets technical direction, designs the system, owns the client relationship, and signs off on every deliverable.

The fleet — a roster of specialist AI agents — are the engineers: they handle implementation slices in parallel under principal oversight. Research, build, test, security review, communication. Agents don't replace architectural judgment; they execute on it. The principal decides what gets built and how it gets tested. The fleet ships it.

The result is small-team accountability at large-team velocity. You get one point of contact, not a committee. And deliverables that move at the speed of a well-run sprint, not a quarterly roadmap.

The fleet runs on the same infrastructure we build for clients — dog-fooded, battle-tested, and running live in the lab right now.

The Principal
Specialist agents — parallel execution
Project
management
Build
engineering
QA &
testing
Research
Security
review
DevOps &
infra
Compliance
Mechanical
engineering
Verified deliverable

What the fleet builds.

Representative capability areas across embedded hardware, AI inference, fleet operations, spatial computing, and custom tooling.

01

Embedded hardware bring-up

From dev board to production-grade platform.

Hardware selection, board bring-up, BSP customization, peripheral integration. We take a concept from breadboard to a hardened, deployable system — firmware, drivers, and manufacturing hand-off included.

ARMLinux/L4TYoctoCAN / UART / SPIFDM enclosures

02

AI inference pipeline

Model to production-grade inference on constrained hardware.

Model selection, quantization, edge deployment, and latency profiling. We run the full pipeline — from dataset curation through benchmark-gated acceptance — on GPU and CPU targets.

PyTorchONNXTensorRTJetsonDocker

03

Real-time data capture rig

Field-grade sensor capture with validated accuracy gates.

Multi-sensor capture rigs (LiDAR, RGB, ToF, IMU), synchronized logging, and accuracy validation against canonical reference data. Built for operating environments, not labs.

PythonROS2iPhone LiDARGNSSOpenCV

04

Fleet management substrate

Multi-machine orchestration and live session monitoring.

Distributed service orchestration across heterogeneous hardware. Real-time telemetry, hook-event capture, MQTT pub/sub, SSE event bus, and a PWA control surface readable from any device.

FastAPIWebSocketMQTTTailscalePWA

05

Interactive demo systems

Investor and trade-show grade. Holds up under scrutiny.

Purpose-built demonstration systems with real data, real hardware, and real-time performance. We design for the worst-case demo environment — poor Wi-Fi, bright lights, live audience — and build to that spec.

AstroWebSocketPythonHardware-in-loopADB

06

AR / spatial computing

Depth sensing, real-time rendering, gesture interaction.

Augmented-reality pipelines using depth sensors, pico projectors, and vision models. Custom FDM enclosures, containerized vision pipelines, and Makefile-driven bring-up for repeatable deployment.

OpenCVToFDockerJetsonFDM / ABS

IP case studies.

Projects designed, built, and shipped by the AK-mee™ fleet. Internal IP — published here as capability proof.

01 Car Thing icon

Car Thing

Superbird resurrection — discontinued hardware, brought back as a fleet-aware Matrix display.

Python 3.7FastAPIWebSocketBlueZ / BT PANADB
Read case study →
02 dude-mini icon

dude-mini

Small-form display module showcasing AK-mee™ brand identity v8.

OpenSCADPythonFDMABSLinux
03 Dispatch icon

Dispatch

Phone companion for monitoring and driving a multi-machine AI fleet.

PythonWebSocketFastAPITailscalePWA
04 The Dude icon

The Dude

Matrix-themed AI avatar — voice interface for the workstation fleet.

PythonFastAPIOpenAI TTSMQTTWebSocket
05 Project Flipper icon

Project Flipper

RF tinkering, fleet-style — WiFi survey, sub-GHz capture, BLE proximity, NFC audit.

PythonFlipper ZeropyserialWiFi RSSISSH orchestration
Read case study →
06 Project Sand icon

Project Sand

AR sandbox with real-time gesture control and terrain visualization.

PythonOpenCVDockerJetsonToF
Read case study →
14 Project Bowling Ball icon

Project Bowling Ball

Paper concept — automated bowling-pin scoring, Project Sand hardware re-aimed at the lane.

JetsonToFOpenCVPico ProjectorEdge Inference
Read case study →
17 Project Shoes icon

Project Shoes

CV detection + classification + tracking, with shoes as the test target.

PythonPyTorchYOLODETRByteTrack
Read case study →

The fleet.

AK-mee runs as one principal plus a named agent fleet. The principal sets direction and takes the calls only a human can take. The fleet does the work — project management, outbound communications, build, test, monitoring, research, security, procurement — under the principal's direction.

“I run project management — keeping every engagement on plan, surfacing blockers fast, making sure the principal's time goes to the calls only the principal can take.”

— John Project management john@akmee.net

“I handle outbound communications — email, customer-facing messaging, brand-clean checks applied before anything goes out. If it's signed AK-mee™, it routed through me.”

— Walter Outbound communications walter@akmee.net

“I build and ship. Every PR, every test run, every artifact that lands in production has my fingerprints. Maude-green or it doesn't go.”

— Smokey Build & ship smokey@akmee.net

“I do deep research — competitive intel, technical reference, regulatory landscape, anything that needs evidence-grade depth before the team commits.”

— Bunny Deep research bunny@akmee.net

“Test and regression. If it isn't covered by a test, it doesn't ship. If it ships and breaks, that's a bug in my coverage, not yours.”

— Maude Test & regression maude@akmee.net

“I watch the fleet — services up, latency healthy, alerts on the right things. The principal gets paged only when paging is right.”

— Donny Monitoring & alerts donny@akmee.net

“Security engineering — SAST scans, dependency audits, threat modeling, vulnerability review. Every ship candidate runs through me before the client sees it.”

— Jesus Security engineering jesus@akmee.net

“Procurement and vendor ops — formalizing the process, managing the inbox, keeping the supply chain moving so engineers don't have to.”

— Brandt Procurement & vendor ops brandt@akmee.net

“I design the hardware enclosures, drive the 3D-print and manufacturing pipeline, and own the journey from CAD to working prototype. If it has form factor or print-job tolerances, it routes through me.”

— Norville Mechanical engineering & manufacturing norville@akmee.net

Let's build something.

Tell us what you're working on. We'll tell you what the fleet can do with it.


hello@akmee.net