service · no. 05Embedded · disciplineSenior engineers ready · 04·20·2026

Embedded & Firmware Engineering.

Firmware, connected-device software, and board bring-up — written to be tested, updated over the air, and maintained. We prove the firmware on real hardware, sign every update, and keep the fleet serviceable in the field for years.

firmwarertosiotdriversota
01Deliverables

What shows up in your repo.

01

Agent graph

Typed nodes, tool schemas, retry and fallback policy. Versioned like code.

agents/*.ts · dag.yaml
02

Eval harness

Golden sets, LLM-as-judge, regression runs on every PR.

evals/*.jsonl · ci.yml
03

Observability

Traces, token costs, hallucination rates, drift alarms. Wired to your stack.

otel · datadog · honeycomb
04

Runbook

What to do when a tool 500s, when latency spikes, when eval red-lines.

docs/runbook.md
02What we build close to the metal

Firmware that ships, connects, and updates safely.

Embedded work fails late and expensively — a field bug you cannot patch, a device that cannot be updated, a driver that only works on one board. We engineer for the whole lifecycle.

Firmware & RTOS

Bare-metal and RTOS firmware (FreeRTOS, Zephyr) on common MCUs and SoCs — interrupt-driven drivers, power management, and a test harness that runs without the hardware in the loop.

IoT & connectivity

Device-to-cloud over MQTT, BLE, or Wi-Fi, with provisioning, telemetry, and signed over-the-air (OTA) updates so a fleet can be fixed in the field, not recalled.

Board bring-up & drivers

Board support packages, device drivers, and embedded Linux integration — turning a new board into a system that boots, talks to its peripherals, and runs your application.

Built to maintain

Reproducible build and flash pipelines, versioned firmware images, and CI for embedded targets, so the next engineer can ship a change with confidence.

03Proof — one we shipped

A pricing engine, rebuilt in six weeks.

One representative case. Read the full editorial walkthrough, including the deploy log and latency chart.

04Questions engineering leaders actually ask

Six things finance + eng teams want answered.

Which models do you use?

Whichever is best for the job — Anthropic, OpenAI, Google, or open-weights on your infra. We write the graph so the model is a swappable dependency.

Do you handle our data?

Only under your DPA and with your key-management. We run on your cloud account unless you explicitly ask us to host.

What if the model regresses?

Eval harness runs nightly and on every PR. If a model update breaks a grader, we freeze and triage before rollout.

Can you integrate with our stack?

Yes — our router speaks the APIs your team already runs: Salesforce, Zendesk, Stripe, Snowflake, internal services. We write typed tool schemas.

What does "operate" actually cost?

A monthly retainer tied to eval runs + on-call. Typically 8–15% of the build fee, reviewed quarterly. No surprise hours.

Who owns the code?

You do, from day one. Repo is yours. We leave MIT-licensed helper libraries where we can reuse them across clients.

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