We build the software side of hardware. Device fleets, OTA pipelines, telemetry platforms and edge inference for IoT, robotics, drone and deep-tech companies across the UAE. Our Dubai-based engineers know what breaks when a device leaves the lab and meets the desert.
Hardware software has two failure modes: a device in the lab that works, and the same device on a rooftop in Sharjah three months later that does not. We build for the second case from sprint one.
Most engagements pair one platform build with two or three add-on services.
Provisioning, identity, telemetry, OTA and remote command for fleets from a hundred devices to a million.
Idempotent firmware delivery with staged rollout, automatic rollback and per-device telemetry on success rates.
On-device models for vision, anomaly detection and predictive maintenance. Run on the device, sync to the cloud.
High-volume sensor ingestion with time-series storage, replay, and dashboards your operations team actually uses.
React Native mobile and web apps that pair, configure and monitor devices from the customer side.
OPC UA, Modbus and ROS 2 integration for factory, robotics and smart-city deployments.
These are ranges from real engagements. We measure them because retainers depend on them.
Default target for the firmware delivery pipelines we ship, across patchy field connectivity in the UAE and wider GCC.
From sensor reading to cloud-side query. Operations teams see fleet state in near real time.
From kickoff to a working device provisioning, telemetry and OTA pipeline running in production.
Where remote diagnostics and OTA replace on-site visits. Service costs drop and uptime climbs.
We pick stacks proven on real device fleets. Low overhead on the edge, scalable on the cloud, boring where it counts.
Embedded Linux, Yocto and Buildroot for gateways. Rust and C for resource-constrained devices. CI builds with hardware-in-the-loop tests.
MQTT over TLS, AWS IoT Core or Azure IoT Hub, and a normalised internal protocol so swapping cloud providers is not a rewrite.
TimescaleDB or ClickHouse for time-series. Postgres for device state. Kafka where ingest volume demands it.
ONNX and TensorFlow Lite on device. Model versioning tied to firmware versioning. Replay logs to debug field inference.
AWS Bahrain or Frankfurt for UAE-region work. Terraform, Datadog and PagerDuty for the operational layer. Per-device cost tracking from day one.
Pricing shared openly during scoping. Smallest engagement starts around the cost of one senior in-house hire.
A two-week review of your device platform, OTA pipeline and telemetry before scale-up or certification.
Hardware teams preparing for a major fleet rollout or GCAA, TDRA or ITAR-adjacent review
A senior pod shipping fleet, firmware-adjacent and edge AI features alongside your hardware team each sprint.
Deep-tech startups, drone operators and IoT product companies launching or scaling new hardware
We own your fleet platform, OTA pipelines and operations dashboards on a monthly retainer.
Live hardware firms past first launch who want one steady partner for ops engineering
Hitech platforms live or die by a few decisions made in the first quarter. We focus there and leave clever for the dashboards.
A device can lose power mid-update and resume cleanly. Firmware deltas are content-addressed, signed and verifiable. Re-delivery is normal, not an outage.
Every device event has a monotonic sequence. The cloud knows what it missed when a device reconnects after a week offline, and back-fills without duplicates.
Firmware, configuration and model versions are tracked per device. We can answer 'what is running where' for a fleet of a million without grepping logs.
-- Row-level tenant isolation.
-- One schema, many tenants, zero "where did this data leak from" tickets.
ALTER TABLE invoices ENABLE ROW LEVEL SECURITY;
CREATE POLICY tenant_isolation ON invoices
USING (tenant_id = current_setting('app.tenant_id')::uuid);
-- Application sets the tenant for every connection.
-- If we forget, the query returns zero rows, not someone else's.
SET LOCAL app.tenant_id = '8f3a-...-c1';
SELECT id, amount_cents, status
FROM invoices
WHERE status = 'pending'
ORDER BY created_at DESC
LIMIT 25;
An example of the device versioning pattern we apply to fleet rollouts. The same principle underpins our staged OTA pipelines and per-device telemetry.
Walk the lab (literally or remotely), open up a device, talk to firmware, ops and support. We listen for the bugs that always happen at 45 degrees and the alerts that no one trusts anymore.
Milestones, risks and what we would do first. Including the work we would recommend you do not do this quarter.
Our senior pod is in your repos shipping production features. Your team owns the merges, we own the cadence.
Measured against the outcomes we agreed on. The people who start with you are the same people in month six.
SKIMBOX rebuilt our OTA pipeline and fleet dashboard in one quarter. Field truck rolls dropped by two thirds, and we finally know what firmware is running on every device.
Remote diagnostics and OTA replaced most on-site visits.
Staged OTA with automatic rollback across the full fleet.
Across six firmware releases since we rebuilt the pipeline.
Yes. Our team has shipped platforms for GCAA-regulated drone operators and TDRA-compliant connected devices. We work alongside your regulatory counsel, build the audit trails inspectors look for, and rehearse certification motions before they happen.
Tell us what is breaking in the field, what is stuck in OTA, and what your regulatory team is bracing for. Written plan in two weeks, or an honest 'we are not the right team'.