Aionic exists because connected products kept failing in the gaps between the firmware vendor, the cloud partner and the design agency. We put all three in the same standup and the delivery record changed.
If the radio choice will not work, or the timeline is not real, the useful moment to say so is week one. We would rather lose an argument in discovery than lose a fleet in production.
Every design decision gets checked against a specific scenario: it is 3am, something is broken, and the person looking at it has never seen this code. That constraint improves architecture more than any style guide.
Firmware, backend and interface people in the same standup from day one. Most IoT projects stall in the seams between those three, and the seams disappear when nobody has to file a ticket to ask a question.
Documentation, runbooks and decision records are written as the work happens. The measure of a good handover is that you could replace us and barely notice.
Aionic started as a firmware consultancy taking work that other studios turned down because it involved hardware. The first project was a soil moisture sensor for a vineyard, and it taught us that the firmware was the easy part.
Too many builds died in the gap between the device and the cloud team. We hired backend engineers so the whole path belonged to one team, and the delivery record changed immediately.
Clients kept coming back not because the telemetry arrived but because the screen made it useful. We built out a frontend practice and started treating the operator interface as a first-class part of every engagement.
Several clients asked us to keep running what we had built. We built an on-call practice and an SLA rather than doing it informally, which forced the runbooks to become genuinely good.
Firmware, backend, frontend, data and delivery, working the same way on every engagement. Still small enough that the people who scope your project are the people who build it.
Names on this page are the ones who lead engagements. There is no separate sales team to hand you off to.
Fifteen years of embedded work across medical devices and industrial sensing. Wrote the power budget methodology we now use on every project.
Backend and distributed systems. Spent four years operating a metering platform before joining, which is why our runbooks are the way they are.
Builds operator tooling for people under time pressure. Runs the shadowing sessions where we watch someone use the console for a full shift.
Anomaly detection and edge inference. Will tell you honestly when your dataset is too small, which has cost us work and saved clients more.
Runs discovery and keeps scope honest. The person who asks what the peak message rate is, every single time.
Device identity, provisioning and update integrity. Runs the threat model in week one and the review before production rollout.
Whoever would lead your build takes the first call. Bring the constraint you think is going to be the problem.
