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We handle the full stack โ hardware abstraction, edge firmware, cloud pipelines, and the analytics layer โ so you don't have to stitch it together.
Sub-second data ingestion from thousands of concurrent devices with guaranteed delivery and at-most-once semantics.
Secure boot, certificate-based mutual TLS, OTA update signing, and hardware security module integration.
MQTT broker clusters and time-series databases designed to ingest and query billions of data points daily.
On-device inference and preprocessing reduce cloud data transfer costs and enable offline operation in remote sites.
Real-time Grafana dashboards, geospatial fleet maps, and threshold-based alerting that operations teams actually use.
OTA firmware updates, remote diagnostics, and device lifecycle management across your entire connected fleet.
A breakdown of everything we deliver under this service.
MQTT and AMQP ingestion pipelines processing millions of events per second with deduplication and schema validation.
AWS Greengrass and Azure IoT Edge deployments running ML inference and business rules locally on constrained hardware.
Grafana and custom web dashboards with live device maps, KPI widgets, and configurable alert channels.
PKI-based device identity, mutual TLS, OTA signing, and anomaly detection for compromised device behaviour.
OPC-UA, Modbus, and REST bridges connecting legacy industrial systems to modern cloud platforms.
Vibration, temperature, and current anomaly models that predict equipment failure days before it happens.
Case Studies
We don't just write code โ we solve business problems. Here's a look at some of the products we've built and the results they've driven.
35%
Reduction in Project Delays
500+
Active Construction Sites
22%
Reduction in Cost Overruns
Developed a cross-platform mobile-first project management suite that works offline in remote sites and syncs with BIM tools and ERP systems.
Protocol selection, connectivity mapping, and data volume estimation to design the right ingestion architecture.
End-to-end data flow design from sensor to dashboard โ latency, storage, and cost modelled before implementation.
Parallel tracks for device firmware, ingestion pipelines, and dashboard development with bi-weekly integration demos.
Real device testing across temperature, connectivity, and load conditions to validate production reliability.
Phased device provisioning, OTA firmware push, and 30-day hyper-care monitoring after go-live.
Remote diagnostics, firmware lifecycle management, and performance monitoring across your entire device estate.