IOT

The IoT (Internet of Things) is turning everyday objects into data factories. A multitude of sensors and wearables have helped create a completely connected ecosystem. According to HIS, the average annual number of connected IoT devices worldwide will reach 125 billion in 2030. This will result in astronomical amounts of data being produced daily. While this data will contain valuable insights, analyzing and making sense of all this data poses a challenge. The key to keeping up with this data deluge is to combine Artificial Intelligence with the IoT. This will help garner meaningful and impactful insights from the vast quanta of data collected by the IoT. The convergence of IoT and AI, called the ‘Intelligence of Things’ will enable connected devices to take actions based on information gleaned from sensors, smart devices, databases, systems and the internet. The Intelligence of Things facilitates smart automation, predictive analytics and pre-emptive intercession.

No matter where businesses stand in their IoT journey, Applexus helps them adapt to their unique IoT space. We help companies accelerate the time to value of IoT deployments while building on their existing technology assets. After preliminary assessment of the current landscape, we architect and implement IoT/AI solutions for organizations based on their specific business requirements. Our AI-powered IoT services and solutions are designed to run on technology that is fast, reliable, secure and scalable.

Our Competencies

We apply custom-specific combinations of our expertise in design, embedded systems, connectivity and cloud
to build and deploy successful IoT solutions for our clients.

Hardware Engineering

Hardware Engineering

Our hardware engineering expertise makes sure that each component of your IoT system is compatible and integrated with all the peripherals and devices in the system.

Big Data Architecture

Big Data Architecture

We provide comprehensive Big Data Architecture for Device Layers, Data and Middleware Layers and Application Tiers employing technologies and platforms like Hadoop, Spark or NoSQL. This includes building pipelines to stream sensor and device data into data lakes.

Data Modeling

Data Modeling

Our conceptual, logical and physical data modeling helps reduce redundant applications and frees up resources to provide faster responses to your organization’s evolving data requirements.

Machine learning

Machine learning

We help companies to create smart systems to leverage smarter algorithms that can iteratively learn from existing data and reveal hidden insights without being programmed explicitly.

Data Science Predictive Analytics

Data Science Predictive Analytics

We analyse structured, unstructured and semi-structured data and turn them into meaningful deliverables like prediction engines and pattern detection analyses.

End-to-end Application Development

End-to-end Application Development

With competencies ranging from microprocessors to real-time operating systems our engineers offer end-to-end expertise for complex embedded applications and HMIs.

Artificial Intelligence
Data Science
Intelligence of Things
Our approach to development

Our approach

IoT initiatives have to be well-thought careful thought out is implemented from both a technology and an organizational touchpoints. Applexus adopts a holistic approach to IoT that encompasses technology platforms, product development and business strategy. We plan our roadmap based on your business, the verticals and market segments you cater to. We recommend a 3-tiered approach for companies planning to make the move to an IoT ecosystem which includes

  • Pain-point identification and classification

  • Industry best practices and solution fitment analysis

  • Project roadmap defining IoT role, technology stack and expected outcomes

  • Asset IoTization including hardware design/selection, connectivity, security and communication

  • Platform development for data storage and device management

  • Application development for data visualization, analysis and business insights

  • Security compliant solution implementation and performance evaluation

  • Comprehesive review process including risk identification and mitigation

  • Data accuracy, performance evaluation and realtime go-live support

Technologies

  • Microsoft
  • Amazon
  • SAP
  • Intel
  • Ibm Watson