Mission
Build intelligent systems that a team can understand, test, and hand on.
About SATHURIX
One team for the device, the software, and the model.
SATHURIX is an engineering practice. We take a problem from the sensor on the wall to the screen the operator uses, and we design the hardware, firmware, software and models together.
Overview
Who we are
SATHURIX delivers intelligent engineering solutions combining Artificial Intelligence, Software Development, IoT, Embedded Systems, Machine Learning, Computer Vision and Robotics.
We design systems in which a device, the software on it, and the model that interprets its data are specified together. The practice is aimed at businesses, engineering teams, and technology partners who need that integration.
Our work is shown through service descriptions and interactive demonstrations. Each demonstration is labelled as a design study, not a live customer system.
Vision
Engineering in which sensing, embedded software, and models are treated as one design.
How we work
From brief to a system someone can run
Every project follows the same four steps, so a client always knows what happens next.
- 01
Name the constraint
Power, latency, radio range, lighting, and the room the device will live in are written into the brief before a stack is chosen.
- 02
Prove the signal
A sensor reading or a camera frame is checked against the real object or the real environment before a dashboard or a model is built on top of it.
- 03
Build the smallest operable system
The first version is something a person can start, watch, and stop. Extra services are added when that loop is already clear.
- 04
Leave a seam for what comes next
Protocols, model versions, and page structure are split so a dashboard, a case study, or an API can be added without a rewrite.
Who we work with
Teams that need hardware and software to agree
We take on projects where a sensor, a controller, a model, and a dashboard have to work as one system.
Warehouses and logistics
Zone conditions, aisle activity and alerts that name the zone and the next action.
Manufacturing and facilities
Machine and environmental data on a network that maintenance staff can use during a shift.
Robotics and automation teams
Navigation, robot computers and simulation tried in software before hardware time is spent.
Product companies
Connected devices, mobile and web apps, and the backend that ties them together.
Focus
What we optimise for
Local intelligence
Inference on the site when the network is poor or the data should not leave the building, with a hosted API only when that is the better fit.
Operator clarity
Screens and alerts that name the zone, the unit, and the next action, instead of a wall of unclassified charts.
Simulation before hardware time
Routes, sensor layouts, and failure cases tried in software before a robot or a custom board is committed.
Start a conversation
Have a device, a process, or a dataset that needs a system around it?
Tell us the environment, the devices, and the decision the system should support.