Drone, Robotics & Automation Software
One connected discipline — drone systems, live tracking, real-time data, and robotics control — built by the same team, on the same real-time infrastructure.
What this department covers
Drone fleet management, live asset tracking, industrial robotics control, and real-time data pipelines look like four different services on a sales page. In practice they're the same engineering problem solved four ways: get live data out of hardware in the field, move it somewhere useful with minimal lag, and put a person or a control system in a position to act on it before it's stale. A drone's telemetry feed, a delivery fleet's GPS ping, a factory-floor sensor reading, and a WebSocket pushing live status to a dashboard all run through the same kind of pipeline — ingestion, transport, processing, action. We built our stack around that pipeline once, and it's why we can move fast across drone systems, live tracking, real-time data, and robotics automation without relearning the fundamentals for each one. If your problem involves something physical that moves or reports state, and software that needs to know about it in real time, this is the department that solves it.
This is also why we treat it as a single department instead of four separate service lines. A team that only ever builds drone software tends to bolt on live tracking as an afterthought when a client asks for it, and a team that only does dashboards tends to underestimate what a drone's connectivity and battery constraints actually demand from the software around it. Building all four together means the lessons move in both directions — the geofencing logic we built for a drone fleet is the same logic that catches a delivery vehicle leaving its service area, and the alerting pipeline that flags a robotics fault is the same one that flags a dying telemetry link mid-flight.
Where this shows up
Mission planning, live telemetry, geofencing, and multi-aircraft fleet dashboards for operators running more drones than they can watch individually — the software layer that turns a fleet of aircraft into one manageable operation instead of a dozen separate radios.
Real-time location tracking and mapping for moving assets — vehicles, deliveries, field equipment — where the value is knowing where something is right now, not an hour-old log entry reconstructed at the end of the day.
Control systems and automation pipelines for hardware-integrated products, from sensor input through to the interface an operator actually uses, built around the hardware's real timing and failure behavior rather than an idealized version of it.
MQTT and WebSocket-driven pipelines that stream live device data into dashboards with minimal latency, whatever the underlying hardware is — the same architecture whether the source is a drone, a vehicle, or a factory sensor.
Systems that don't just display live data but react to it — geofence breaches, low battery, connection loss, or an automation fault routed to the right person or channel the moment it happens, not discovered in a log review afterward.
Go deeper
Mission planning, live telemetry, fleet dashboards, and DJI SDK integration for drone operators and manufacturers.
Learn more →Real-time location tracking, geofencing, and mapping dashboards for moving assets and fleets.
Learn more →MQTT and WebSocket-driven pipelines streaming live device data into dashboards with minimal latency.
Learn more →Control systems and automation pipelines for hardware-integrated products, from sensor to interface.
Learn more →Built on infrastructure made for real-time data
Lightweight pub/sub messaging built for constrained links — the standard for streaming telemetry off drones, vehicles, and field sensors alike, designed to keep working on unreliable or low-bandwidth connections.
Persistent, low-latency connections that push live telemetry, tracking, and status data straight into a dashboard, no polling delay — the difference between a dashboard that feels live and one that's quietly a few seconds behind.
Direct integration with DJI's Mobile SDK and Cloud API for drone telemetry, live video, and command relay, so fleet software doesn't need to reimplement the aircraft link from scratch.
Event-driven processing for ingestion and alerting that scales with fleet or sensor count without idle server cost — infrastructure that grows with the fleet instead of needing to be provisioned for peak load in advance.
High-throughput storage for time-series telemetry and tracking data, built for bursty writes from many devices reporting at once, with fast lookups for both live status and historical playback.
Durable queuing between ingestion and processing, so a burst of data from a large mission, a fleet-wide event, or a network reconnect doesn't get dropped or processed out of order.
Fan-out alerting — geofence breaches, low battery, connection loss, or automation faults reach the right dashboard, mobile app, or on-call channel immediately, without each alert type needing its own delivery pipeline.
Client work in this department
This department is also where most of our worldwide client base sits — teams in the US, Australia, the UK, and Canada building or operating drone fleets, robotics, and live-tracking systems who needed a development partner that understands both the software and the physical constraints of the hardware underneath it. We work as an extension of your team rather than a black-box vendor — direct access to the engineers building the pipeline, not an account manager relaying updates from someone else's build. Whether the starting point is a hardware product that needs its first real software layer, an existing fleet dashboard that's quietly polling instead of pushing live data, or an industrial process that's still run manually because nobody's automated it yet, the process starts the same way: understanding the actual hardware, the actual operations, and where the current setup breaks down under real conditions, before any code gets written. That's also why this department pairs naturally with our Cloud & DevOps and Data Engineering work — the infrastructure underneath a drone fleet's telemetry pipeline is the same infrastructure that needs to scale reliably in production and eventually feed a model or a decision system, not just a live map.