01
Device connectivity
Fleet onboarding, MQTT messaging, and over-the-air updates at scale.
Emerging technology
Connect the physical to the intelligent.
Device connectivity, edge computing, digital twins, and IoT analytics — industrial and commercial deployments engineered for unreliable networks and reliable outcomes.
What we build
02
Edge computing
Local inference and buffering so operations continue when the network does not.
03
Digital twins
Live models of assets and processes for monitoring, simulation, and planning.
04
IoT analytics
Telemetry pipelines feeding dashboards, alerts, and predictive maintenance models.
How we deliver
Step 01 — Assess
Use-case discovery, data and platform readiness, and a business case with measurable outcomes for IoT.
Step 02 — Build
Senior-led delivery in weekly increments — architecture, security, and quality gates baked into every sprint.
Step 03 — Operate
Production monitoring, SLAs, and continuous improvement through our managed services team in Chennai.
Tools & platforms
MQTTAWS IoTAzure IoT HubEdge MLTimescaleDBGrafanaKafka
In depth
IoT platforms that turn device data into operational advantage
Sensors are cheap; insight is not. The hard part of IoT is everything after the device: ingestion at scale, device management, edge processing, and analytics that reach the people who can act. We build IoT platforms end to end — from connectivity and telemetry pipelines to the dashboards and alerts that change how operations run.
Our architectures use AWS IoT and Azure IoT Hub with MQTT ingestion, stream processing via Kafka and cloud-native services, and time-series storage tuned for high-cardinality telemetry. Edge compute handles local decisions where latency matters; computer vision adds cameras as sensors for inspection and safety.
The payoff compounds when telemetry meets machine learning: predictive maintenance that schedules service before failure, energy optimization across facilities, and cold-chain assurance in logistics. Fleet security — identity per device, signed firmware, rotation — is table stakes in every build.
Scale-ready ingestion
MQTT and streaming pipelines engineered for millions of messages, not demo volumes.
Edge where it matters
Local processing for low-latency decisions; cloud for fleet-wide learning.
Secure device fleets
Per-device identity, signed firmware, and rotation policies from day one.
Frequently asked questions
Have a different question? Talk to an engineer, not a salesperson.
Our sites have poor connectivity — is that a blocker?
No — edge-first design with store-and-forward buffering is our default for industrial sites.
Can you retrofit existing machines?
Usually — sensor retrofits and protocol gateways (Modbus, OPC-UA) bring legacy equipment online without replacement.
How does predictive maintenance pay off?
Downtime avoided. We baseline current failure costs during assessment so the business case is measured, not assumed.