Vision AI that runs where the internet doesn't
We build computer vision and sensor systems that do their thinking on the device. Jetson, Raspberry Pi CM5, ESP32. When the network drops, the cameras keep counting and the alarms keep firing. Two of our platforms are live right now, and you can open both without talking to us first.
Three things we do properly
Connectivity is usually the least reliable part of an industrial site. We design around that assumption instead of pretending otherwise.
Computer vision at the edge
Detection and segmentation models compiled to run on a Coral TPU or a Jetson, not on a rented GPU. Counting, inspection, condition assessment. The video never leaves the building.
Edge telemetry
ESP32 sensor nodes, an MQTT transport layer, time-series storage, and a live view. We wrote each layer ourselves rather than renting them, so the whole stack can sit on your infrastructure.
Predictive models on real signals
Vibration bands from ISO 10816-3. Pump efficiency from inlet and outlet temperature difference. Models an engineer can argue with, because the physics underneath them is written down.
Two platforms you can open right now
No demo request. No discovery call first. Both are running today.
IoTera Nexus
Device fleet monitoring with live telemetry, health scoring, and alerts that arrive before something breaks rather than after. An on-premises language model sits inside it, so an operator can ask what's wrong with pump three and get an answer in a sentence instead of a chart. Runs on your infrastructure, or on partner-hosted cloud.
Open NexusCikgu AI
An SPM tutor for Chemistry, Physics, and Biology, built against the KSSM Form 4 and Form 5 syllabus. Bahasa Malaysia or English. On the web, and on Telegram, because that's where students already are at eleven at night before a paper.
Open Cikgu AI
Developed in collaboration with the Faculty of Electrical and Electronic Engineering, Universiti Tun Hussein Onn Malaysia.
An early-stage company, and we'll say so
We are not going to show you a wall of customer logos. We don't have one.
What we have is a water treatment digital twin in pilot, a river level detector that reads a staff gauge from an ordinary camera, and a fibre intrusion node on a bench in Kulai. Some of it works. Some of it is still being argued about.
If you need a vendor with a hundred references, that isn't us. If you want engineers who will sit inside your process until they understand it, and then build the thing correctly, start a conversation.
Cloud & Connectivity Solutions
Connectivity, cloud hosting and storage come through our partners. We select and integrate them so the AI on top stays reliable.
Learn more- High-speed connectivity
Partner-provided links, selected and integrated for real-time data and remote monitoring.
- Scalable cloud infrastructure
Partner-hosted compute, provisioned and configured for AI models and IoT workloads.
- Secure data hosting
Partner storage and analytics environments, integrated with access controls we set up with you.
Tell us the problem. We'll tell you if AI is the wrong tool.
Often the answer is a better sensor and no neural network at all, and we'll say that before you've spent anything. If vision or prediction actually fits, we scope it, build it, and show you what it produces.