Connected IoT Solutions for Smart Operations
From sensors to dashboards — we build IoT platforms that collect device telemetry reliably, visualize it clearly and turn it into predictive action.
At a Glance
- Engagement
- Fixed-price or dedicated team
- First response
- Within 1 business day
- Scoped quote
- Within 48 hours
- Ownership
- Full source & IP transferred
Core Stack
IoT Solutions Services
Device & Firmware Integration
Connect sensors and devices over MQTT/CoAP with secure provisioning and OTA updates.
IoT Platforms
Scalable ingestion, device registries and management on AWS IoT, Azure IoT or custom.
Telemetry Pipelines
High-throughput pipelines that handle device data without dropping messages.
Dashboards & Monitoring
Real-time dashboards, thresholds and alerting for fleets of devices.
Predictive Maintenance
ML on sensor data to predict failures before they cause downtime.
Edge Computing
On-device and edge processing for low-latency decisions and reduced bandwidth.
The KeasBrain Difference
- Reliable at scale — Pipelines engineered for lossless ingestion from thousands of devices.
- Secure by design — Device identity, encryption and secure OTA built in.
- Actionable — Data turned into alerts and predictions, not just charts.
- Vendor-flexible — AWS IoT, Azure IoT or open-source — chosen for your needs.
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Years of Experience
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Projects Delivered
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Happy Clients
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Client Satisfaction
A Clear Path From Idea to Impact
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1
Discover
Free consultation + scope audit
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2
Design
Architecture & UX validated upfront
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3
Build
Agile sprints with weekly demos
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4
Scale
Launch, monitor & optimize
Tools & Platforms We Use
IoT Solutions Questions
Usually yes — we integrate over standard protocols (MQTT/CoAP) and can advise on firmware changes where needed for secure, reliable connectivity.
AWS IoT and Azure IoT both work well; the choice depends on your existing cloud, scale and edge needs. We'll recommend after a short discovery.
Yes — once telemetry is flowing reliably, we apply ML to sensor data to flag anomalies and predict failures ahead of downtime.
Yes — for low-latency or bandwidth-constrained scenarios we push processing to the edge and sync summaries to the cloud.