Internet of Things [IoT]
Skill set required to create an interconnected IoT program for a hardware device is very different from the skills necessary to develop and maintain an application stack, and vice versa. Anatomy of an IoT solution design requires multi-skilled teams that work together and blend hardware engineering prototypes with application workflows
Hardware Prototype
Build a breadboard based solution prototype and lab test various use cases
Create a solution roadmap and design hardware and software dependencies. Begin prototyping your toughest problem to create a minimum viable product. Make significant product decisions upfront and test various use cases in lab settings for quick feedback at a lower risk.
IoT Portfolio
Cloud IoT and Analytics
Connect prototypes to cloud IoT solutions and develop connected applications
Connect prototypes to cloud IoT solutions to create a complete functional model of your solution. Design the communication stack to reduce latency and faster processing for streaming data. Build your cloud applications and leverage real-time data to create data-driven solutions.
Mass-scale Production
Select the right components and optimize hardware layout, to create field-test units for beta-tests and carry forward your learnings to production launch
Generate blueprint design for small batch field test units (FTU) or product launch. Manage solution logistics for wide-scale deployment.
