Engineering Digital
Transformation with
Intelligence
We transform businesses through software innovation and intelligent systems. We enable digital transformation by combining deep engineering capabilities with a strong understanding of business, operational, and industry-specific realities.
IoT & Connected Systems
Cloud IoT Engineering and Architecture, Data engineering, and Enterprise Integration for Connected product platforms and Manufacturing & Industrial operations and built on AWS IoT Core and Azure IoT Hub, engineered for scale, secured by design
IoT & Connected Systems
Cloud IoT Engineering and Architecture, Data engineering, and Enterprise Integration for Connected product platforms and Manufacturing & Industrial operations and built on AWS IoT Core and Azure IoT Hub, engineered for scale, secured by design
Machines Are Talking. No One’s Listening
Whether you’re connecting a factory floor or launching a connected product — getting data from device to decision is harder than the platforms make it look.
Data trapped at the edge
Equipment generates valuable data, but it stays on the floor. No pipeline brings it into PLM, MES, or ERP where strategic decisions are made.
Protocol fragmentation
OPC-UA, MQTT, Modbus, and proprietary APIs create a "language barrier". Building a unified ingestion layer across disparate assets is harder than it looks.
Pilots That Don't Scale
A proof-of-concept works on 10 devices but breaks on 10,000. Architecture decisions made early become expensive constraints during global rollouts.
Security as an afterthought
Device authentication, certificate lifecycles, and OT/IT boundary controls are often retrofitted after deployment rather than designed-in.
Operational Blind Spots
Without real-time visibility into OEE, energy consumption, and production quality, teams remain reactive rather than proactive.
The "Value Gap"
Dashboards are built, but the link between raw IoT data and actual business outcomes-like cost tracking or design feedback-was never engineered.
IoT Cloud Architecture & Integration
Design and implement the Cloud – IoT architecture that receives, processes, and connects data from industrial equipment and connected devices. We build the platform layer above the machine viz cloud IoT hubs, message routing, device management, and bidirectional integration with PLM, MES, ERP, and SaaS product platforms.
How we execute:
Cloud IoT platform design on AWS IoT Core and Azure IoT Hub
device registry, message routing rules, device shadow/twin state management
Integration architecture
how IoT data connects bidirectionally with PLM (engineering feedback), MES (production decisions), and ERP (cost/inventory) systems
Protocol-aware data ingestion
designing cloud endpoints for OPC-UA, MQTT, and Modbus data streams. We architect the receiving layer; your OT team or automation partner manages the floor-level connectivity
Security architecture
device authentication, certificate management, TLS encryption, and IAM policies for IoT data access
IoT Data Engineering
Build the data infrastructure that turns raw device telemetry into operational intelligence. From ingestion and storage to transformation and analytics-ready outputs engineered for the volume, velocity, and variety of IoT data patterns.
How we execute:
Time-series data pipelines
Ingestion, Transformation, and Storage using InfluxDB, TimescaleDB, AWS Timestream, or Azure Data Explorer
Stream processing
Apache Kafka and event-driven architectures for real-time data routing from IoT hubs to analytics and enterprise systems
Analytics infrastructure
Data models, Aggregation pipelines, and API layers that feed dashboards, BI tools, and AI/ML platforms with IoT-sourced data
Operational dashboards
Grafana, Power BI, and custom real-time dashboards connected to IoT data streams for OEE, energy, and production visibility
IoT Backend for Connected Products
For technology companies building connected products and IoT-enabled platforms, we design and implement the cloud architecture from device-to-cloud connectivity to analytics APIs and SaaS platform integration.
How we execute:
Device-to-cloud connectivity
MQTT, HTTPS, and AMQP endpoints with secure device provisioning and certificate management on AWS IoT Core / Azure IoT Hub
Data ingestion architecture
Message queues, time-series storage, and analytics pipelines designed for IoT query patterns and long-term retention
Platform integration
APIs and event routing that connect device telemetry to your SaaS product, customer dashboards, or enterprise systems
Where IoT Data Goes
IoT delivers value when connected to enterprise systems, enabling bidirectional data flow and closed-loop optimisation across engineering, production, and operations.
IoT to PLM Integration
Field performance data feeds back into engineering, enabling design improvements, reliability optimisation, and faster product evolution.
IoT to MES Integration
Real-time equipment and process data drive production scheduling, quality control, and OEE monitoring, enabling proactive operations.
IoT to ERP Integration
Operational and asset data flow into enterprise systems for cost tracking, maintenance planning, and inventory optimisation.
IoT to Product Platforms
Device telemetry and operational data integrated into customer-facing SaaS platforms - enabling product companies to deliver analytics, remote diagnostics, and operational intelligence features to their end customers.
IoT to PLM Integration
Field performance data feeds back into engineering, enabling design improvements, reliability optimisation, and faster product evolution.
IoT to MES Integration
Real-time equipment and process data drive production scheduling, quality control, and OEE monitoring, enabling proactive operations.
IoT to ERP Integration
Operational and asset data flow into enterprise systems for cost tracking, maintenance planning, and inventory optimisation.
IoT to Product Platforms
Device telemetry and operational data integrated into customer-facing SaaS platforms - enabling product companies to deliver analytics, remote diagnostics, and operational intelligence features to their end customers.
Technologies We Work With
Business Impact
Reduction in time from data generation to business decision
through real-time IoT data pipelines replacing manual collection and batch processing
Reduction in data integration effort
through pre-built IoT-to-enterprise connectors (PLM, MES, ERP) replacing manual data entry and spreadsheet transfers
Faster time-to-insight for operational teams
through connected dashboards fed by automated IoT data pipelines instead of manual report compilation
Audit-ready data traceability
every data point from source device to enterprise system logged, timestamped, and queryable
How We Work
Every IoT engagement follows a structured path from understanding to operating with clear deliverables and decision points at each stage
Start with an IoT Architecture Assessment
Whether you’re connecting a factory floor or launching a connected product – getting data from device to decision is harder than the platforms make it look.