The first call is free and technical. Bring the sensor, the range, the power source, and we will tell you what the constraints really are.
One board on a desk, reporting to a dashboard over wifi, is a weekend. The engineering starts at unit two hundred, mounted somewhere inconvenient, running on a battery, on a network you do not control, with a firmware bug. Almost every IoT project that goes wrong goes wrong in the same four places.
Every fix now needs a person, a ladder and a cable. A one-line bug becomes a field visit to every unit you shipped.
UnreachableThe radio never truly sleeps and the device reports far more often than anyone needs. Nobody modelled the power budget.
PowerA dashboard shows readings but not silence. A sensor that stopped reporting three weeks ago looks the same as one that is fine.
Blind spotsAnyone who opens one enclosure can impersonate every device you own, and there is no way to revoke just that one.
ExposureSoftware you can fix from a laptop.
Hardware in the field, you fix with a van.
That asymmetry is the whole discipline. Everything we design assumes the device will be somewhere you cannot reach, on a connection that will drop, running firmware that will one day need to change.
An IoT product is four systems that have to agree with each other. Split them across separate vendors and the failures land in the gaps between them, where each side can reasonably say the problem is on the other end. We build all four, so there is no gap to argue about.
Sensing, power, and code that has to run for years unattended.
EdgeGetting the data out, cheaply and reliably.
TransportIngestion that keeps up, storage that stays affordable.
PlatformWhat people see, and how you keep control of the fleet.
OperationsThis is what makes connected products different from software. A choice that costs nothing on one device costs exactly that much times ten thousand, every month, for as long as the product exists. We work those numbers out with you before the design is fixed, not after the first invoice.
Report every fifteen minutes instead of every ten seconds, send a compact binary payload instead of verbose JSON, and let the radio sleep between. An afternoon of thinking.
The same choices, now baked into firmware on devices already installed, with a data bill that scales and batteries that need replacing years ahead of plan.
Three numbers decide most of an IoT product's running cost: how often each device speaks, how much it says, and how long you keep it. Get those right and everything downstream, the data plan, the battery life, the storage bill, the maintenance schedule, follows.
We take on connected products at any stage, including the awkward ones where something is already in the ground.
Hardware punishes late discovery, so we front-load the decisions that are impossible to reverse and prove them on real devices early.
What is measured, how often it matters, how far from a network, what powers it, and where it physically lives. These four answers rule out most of the design space immediately.
Radio, protocol, sensors and cloud platform chosen together, with a power budget and a per-device data cost worked out on paper before anything is committed.
A single unit reporting real readings through the real protocol into the real platform. Thin, but complete, which is how you find the surprises while they are still cheap.
Sleep scheduling, buffering, provisioning and the update path on the device side; ingestion, storage, rules and dashboards on the cloud side, built in step with each other.
A small batch in the real environment, on real signal, in real weather, long enough to measure actual battery drain rather than the number on the datasheet.
Provisioning at scale, staged firmware rollouts, alerting on device silence, and the runbook your team needs to operate the fleet without us.
Selected against your power, range and cost constraints, with the reasoning written down so the trade-offs are visible rather than assumed.
Connected products fail at the seams, so we do not split them across specialists who never meet. The engineers writing your firmware are the ones designing the payloads and the ingestion behind it.
Hands-on experience per engineer, across agencies, product companies and enterprises. No juniors learning on your budget.
Connected hardware and embedded work alongside cloud and Python engineering, which is what lets one team own the whole path.
We have kept our own work running long after launch, which is the part that teaches you what actually breaks. See how we work.
Cloud accounts, device credentials and firmware source stay yours. No platform you cannot leave, and no fleet that only we can provision or update.
We will sign a mutual Non-Disclosure Agreement any time you want one, at no cost. You can read the exact document we use before you ask for it.
We do the architecture, the component and sensor selection, and the firmware, and we work with your electronics manufacturer or ours on the board itself. If you are still choosing a module or a radio, that decision is one of the first we make with you, because it constrains battery life, range and cost for the life of the product.
It follows from three things: how far the device is from a gateway, how often it has to report, and what powers it. Mains-powered devices near wifi are straightforward. Battery devices in a field are usually LoRaWAN or cellular IoT. We size the power budget against the reporting interval before choosing, because that is the calculation that decides whether the battery lasts a year or a month.
Yes. A common engagement is existing hardware in the field with no usable platform behind it. We can build the ingestion, storage, dashboards and alerting around what is already deployed, and where the firmware can be updated we can improve what the devices send and how often.
Over the air, with a signed image, a staged rollout and an automatic rollback if a device fails to come back after flashing. This gets designed in at the start, not added later. Without it, every future bug fix means physically visiting each device, which is what turns a small firmware defect into a genuinely expensive problem.
Mostly connectivity and data storage, and both scale with how much each device says and how often. We model that per device before building, because a reporting interval chosen casually in a prototype can multiply into a serious monthly bill across thousands of units. Sending less, less often, is usually the biggest lever.
Per-device credentials rather than one shared key, TLS on every connection, secure storage for keys, signed firmware so a device will not run an image it cannot verify, and the ability to revoke a single compromised device without touching the rest. A device sitting in public is physically accessible to anyone, and the design has to assume that.