IoT, embedded & AI product studio

Hardware, firmware, and the AI that runs on top.

From PCB to LLM — one team that designs boards, writes firmware, builds AI agents, and ships the software that runs on top.

Boards, firmware, and radios
AI agents, RAG, and voice AI
Apps, dashboards, and platform

Industries

Where we've worked.

Healthcare, retail, finance, HR, agriculture, and industrial — we pick projects where the engineering matters more than the slide deck.

Healthcare & MedTech

Wearables, therapy devices, and cold-chain containers — the device, the firmware, and the clinician-facing view. Built for a regulator to read, with the radios picked for the room the device actually lives in.

E-Commerce & Retail

Storefront replatforms that have outgrown their CMS, recommendation systems grounded in catalog or lab data instead of marketing taxonomy, and the operations dashboards the back office runs the day-to-day on.

Financial Services

Cross-platform mobile trading apps that handle live market data and order execution, and AI agents that turn natural-language questions into SQL against the operations warehouse without filing a BI ticket.

HR & Talent Management

Engagement and rewards apps that fit the daily flow of a hybrid team without becoming another tool the HR lead has to chase. Push notifications when it matters, points that can't be gamed, and a manager view that earns the time it takes.

Smart Agriculture

Field IoT where the constraint is bandwidth, power, and dust — low-power radios (LoRa, NB-IoT) for nodes that run on solar or coin-cell, and dashboards that hold up when the connection comes and goes.

Industrial Automation

Controllers and signal-chain boards for high-power applications, the firmware that runs on them, and the operator dashboards that keep the plant online. Edge inference where it earns its place; cloud where it doesn't.

How we work

Four principles we work to.

We're a small team that takes one product all the way through. The engineer who designs the board is the same person who writes the firmware that runs on it.

One team across hardware, firmware, and software.

No handoff between a hardware vendor and a software vendor. The PCB designer, the firmware lead, and the app dev all sit in the same Slack thread.

Engineers, not account managers.

When you call, you get the person writing the code or laying out the board. Specs get debated technically, not negotiated commercially.

We tell you when something won't work.

If the radio you picked won't pass FCC at the range you need, we'll say so before you spec the enclosure. Saying yes to everything is a vendor pattern, not a partner pattern.

We stay on after launch.

Most of our hardware clients are several firmware revisions past v1. Field bugs, OTA updates, regulatory recerts — we're still there.

Team working

What they say

In their own words.

A few teams who shipped products with us — what they wrote on the way out.

Embitronics exceeded all expectations. The team stayed two steps ahead throughout the project, anticipating ideas, delivering early, and adding more value than we initially planned. Their proactive approach, technical expertise, and reliability made the experience exceptional.
Daniel
NAPL Solutions
The Embitronics team demonstrated deep technical knowledge and a strong understanding of scalable architecture. They aligned with our team quickly and shipped results that exceeded our expectations. We were impressed enough to immediately begin a second project.
Sven Milder
DeeDee
Embitronics is an exceptional engineering partner. Their team combines deep firmware expertise with fast, creative problem-solving. They've consistently delivered beyond expectations and have become a valued extension of our development efforts.
Reggie
Product Design Labs

FAQ

Things people ask before signing on.

If your question isn't here, send it directly — we'll answer in the same thread, not a sales sequence.

?

Can you handle both AI work and hardware/IoT development?

Yes — they're our two flagship tiers, not separate practices. Hardware and embedded covers boards, firmware, radios (BLE, LoRa, NB-IoT), edge inference, and the apps that talk to the device. AI for business covers RAG, agents, voice AI, and workflow automation for teams that don't have a hardware product in the loop. A few projects sit deliberately in both — a wearable with a clinician dashboard, fleet telemetry with anomaly summaries — and we'll tell you which shape your project is on the first call.

?

Do you ship for production, or just build prototypes?

Both, depending on what you need. We've taken devices from sketch to manufactured units that run on coin-cell power for years (Wito, MeltBelt, Frostmed), and we've shipped MVPs designed to validate one specific bet before you spend on the rest — the AI calling agent we built for a tier-1 support test went live in roughly two weeks. Tell us what stage you're at and we'll tell you what shape of engagement makes sense.

?

Do you cover the whole stack — board, firmware, cloud, app?

For hardware projects, usually yes — board design, firmware, the radio choice and any certification, the backhaul, and the dashboard or mobile app the user actually touches. For AI projects, the equivalent is the model choice, the data plumbing (RAG corpus, vector store, retrieval), the agent orchestration, and whatever interface fits the workflow. When something's not in scope — your CRM, your existing CMS, your inventory backend — we'll say so and stay out of it.

?

Who actually writes the code on our project?

The engineers you talk to in the kickoff are the engineers who do the work. We don't run a junior pool and we don't outsource the build. The lead on a hardware project is whoever has shipped the closest analogue — BLE wearables, high-power signal chains, cold-chain telemetry — and the same shape on the AI side: agents, RAG, voice. If we're not the right fit for what you need, we'll say that on the first call.

?

What kinds of AI work do you actually do?

Voice calling agents on Retell, Vapi, or Twilio for inbound and outbound automation. RAG systems over private documents for internal Q&A. Multi-step agents that take actions in tools (n8n, Make.com, custom). Natural-language-to-SQL for business intelligence over an operations warehouse. See the AgentVoice, PowerDrill, ChatQRE, and AI Calling Agent case studies for what each looks like in practice. We don't fine-tune foundation models from scratch — that's not where the work usually lives for the projects we take on.

?

Do you support the project after launch?

Yes — bug fixes, performance issues, security updates, and the inevitable feature additions when the user feedback starts coming in. Post-launch support is scoped per project (retainer, hourly, or a defined SLA on critical bugs) and written into the contract before kickoff so you know what you're getting and what you're not. Hardware projects also typically need over-the-air firmware updates and device-fleet ops, which we cover the same way.

Still have a question?

Send it. We answer real engineering questions, not lead-form auto-replies.

Talk to us

Have something you want shipped?

Tell us what you're trying to build. We'll either say yes and propose a scope, or tell you why we'd struggle to help — within a week, in writing.

We scope first, quote second. No menu pricing.

Reply within a week
Custom scope per project
References on request