Cognita: IoT platform.
A web app for connected devices, built with Node.js, Python and JavaScript. Field devices stream into one dashboard with history and alerting, so operators act on live data instead of site visits.
The challenge.
- Devices in the field reported into nothing coherent, so operators flew blind.
- Readings needed to stream to a dashboard operators could act on.
- The pipeline had to stay reliable across intermittent connectivity.
- Devices misbehave — duplicate readings, clock drift, gaps — and the data layer had to absorb that without lying.
Our approach.
- Built the monitoring dashboard with Node.js for live readings and controls.
- Streamed device data through Node.js and Python.
- Stored time-series readings for history and alerting.
- Handled reconnection so gaps don't corrupt the picture.
- Hardened ingestion against duplicates, gaps and clock drift so history stays truthful.
The outcome.
- Operators see live device data on one dashboard instead of flying blind.
- Readings are stored for history and alerting.
- The pipeline holds up across flaky connectivity.
- History is trustworthy enough to base operational decisions on.
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Where AI fits in manufacturing & industrial.
Assistants that answer engineers' questions from manuals and maintenance history, visual quality checks, and procurement workflows that draft, compare and route supplier documents.
Explore AI developmentWe are a mental health charity and not tech-minded. We needed to improve our patient registration system but wanted a company that we can relate to. Hassan took the time to meet with me and patiently went through our process to find a personalised solution for us. Hassan's team did a great job streamlining our process and connected our registration system to our patient management software. Whenever we have a glitch, they resolve this quickly.
Let's build from here.
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