IoT Platforms Built for Devices in Bad Network Conditions
Telemetry pipelines, device management, edge processing and operator dashboards for connected products, designed around intermittent connectivity, constrained hardware and fleets that have to be updated safely.
What do IoT development services cover?
IoT development services span the device-to-dashboard chain: firmware integration and edge logic on the device, connectivity over MQTT, LoRaWAN, cellular or BLE, a telemetry ingestion pipeline that handles bursts and duplicates, time-series storage, device provisioning and fleet management, over-the-air updates, alerting rules, and the operator dashboards and mobile companion apps people actually use. Anviam builds the cloud, application and integration layers, and works alongside your hardware or firmware team on the device side.
- Protocols
- MQTT, CoAP, LoRaWAN, BLE, cellular
- Ingestion
- AWS IoT Core or self-hosted MQTT
- Storage
- TimescaleDB, InfluxDB, Timestream
- Fleet management
- Provisioning, OTA updates, rollback
- Typical timeline
- 12–20 weeks to production pilot
- Device side
- We partner with your firmware team
The Network Will Drop, the Clock Will Be Wrong, Messages Will Arrive Twice
IoT platforms that work in a lab fail in the field for predictable reasons. A device loses connectivity for six hours and then uploads everything at once. Its clock has drifted, so timestamps are wrong. A retry means the same reading arrives three times. Firmware on a subset of the fleet is two versions behind and sends a slightly different payload. An over-the-air update bricks a device that lost power mid-flash.
None of these are exotic, and all of them need to be designed for rather than patched later. So we build for idempotent ingestion, server-side timestamping alongside device time, buffered store-and-forward on the device, schema versioning on payloads, and staged over-the-air rollouts with automatic rollback. It makes the first release slower and the next three years considerably cheaper.
IoT Services We Deliver
Telemetry Ingestion Pipelines
MQTT brokers and stream processing built for burst traffic, duplicates and out-of-order arrival.
Edge Processing & Gateways
On-device and gateway logic that filters, aggregates and buffers so you are not paying to ship noise.
Device Management & Provisioning
Certificate-based identity, zero-touch provisioning, fleet grouping and remote configuration.
Over-the-Air Update Systems
Staged firmware rollout with signature verification, health checks and automatic rollback.
Operator Dashboards
Real-time fleet views, historical analysis and alert management built for control-room use.
Companion Mobile Apps
BLE pairing, setup flows and remote control apps for consumer and field-technician users.
The IoT Stack We Build On
Connected Products We Have Worked On
Fuel & Tank Monitoring
Level sensing and delivery scheduling, the domain behind our Tankspotter platform.
Industrial Equipment Monitoring
Machine telemetry feeding predictive maintenance and OEE reporting on the plant floor.
Fleet & Asset Tracking
Location, utilisation and condition monitoring for vehicles, trailers and mobile assets.
Building Management
HVAC, energy and occupancy monitoring across multi-site property portfolios.
Remote Patient Monitoring
Medical device telemetry with clinician alerting inside HIPAA-aligned infrastructure.
Utilities & Environmental
Water, air quality and metering networks on low-power wide-area connectivity.
How an IoT Engagement Runs
Constraints & Protocol Choice
Power budget, connectivity, data volume and cost per device drive the architecture, so they come first.
Payload & Schema Design
Versioned message schemas agreed with your firmware team before either side builds.
Pipeline & Storage Build
Ingestion, idempotency, time-series storage and retention tiers with realistic volume testing.
Applications & Alerting
Dashboards, alert rules and companion apps built on the now-stable data layer.
Field Pilot & Scale
A pilot fleet in real conditions, then staged rollout with fleet monitoring in place.
Common Questions About IoT Development
Do you build the hardware and firmware as well?
We work on the firmware integration, edge logic and everything cloud-side, and we partner with your hardware team or an electronics design house for board design and manufacturing. That division is deliberate: hardware engineering is a genuinely different discipline with different tooling and certification requirements, and claiming both usually means doing one of them poorly. We are experienced at defining the device-cloud contract so both sides can work in parallel.
Which connectivity protocol should we use?
It follows from power, range and data volume rather than preference. MQTT over wifi or cellular suits mains-powered devices sending frequent data. LoRaWAN suits battery devices sending small payloads over long range for years. BLE suits phone-proximate devices where the handset is the gateway. NB-IoT sits between cellular and LoRa. We work backwards from your power budget and cost per device per month, because connectivity cost at fleet scale usually dominates the decision.
How do you handle devices that go offline?
By treating offline as normal operation rather than an error. Devices buffer readings locally and forward when connectivity returns, so a six-hour gap results in a burst upload rather than lost data. Ingestion is idempotent, so duplicate deliveries do not create duplicate records. We record both device and server timestamps, since device clocks drift, and the dashboard distinguishes a device that is genuinely offline from one that is simply late.
How do over-the-air firmware updates work safely?
Signed firmware images, verified on the device before flashing, with an A/B partition scheme so a failed update falls back to the previous image rather than bricking the unit. Rollouts go in stages: a small canary group first, then wider release gated on health metrics reported back. There is a hard rule that a device must be able to recover without a physical visit, because a field truck roll costs far more than the update.
What does an IoT platform cost to run?
Per-device monthly cost is driven by message volume, connectivity and data retention rather than by device count alone, which is why edge filtering matters so much. Shipping every raw reading to the cloud is the single most common cause of unexpected bills; aggregating on the device or gateway often cuts ingestion volume by an order of magnitude with no analytical loss. We model this during design and set retention tiers so old high-resolution data rolls into aggregates automatically.
Can you integrate IoT data with our existing systems?
Yes, and it is usually where the value is realised. Telemetry becomes useful when it triggers something: a work order in your maintenance system, a delivery in your dispatch platform, a line in your ERP. We build those integrations with queuing and reconciliation so a downstream outage delays rather than loses events, and we expose the data through APIs your other systems can consume directly.