I think any start-up that is looking to build their first hardware product and doesn’t have all of the expertise in house, should consider working with Softeq. Because they bring experience from hundreds of projects to help make sure that as a start-up you don’t go through the mistakes that others have already made.
Electronic Kit for Revolution Robotics
The client addressed Softeq to develop an electronic kit that would allow users to assemble, program, and control robots via a smartphone.
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Happiest Baby, Inc., employed Softeq to help launch our flagship product SNOO, the world's smartest baby bed. The partnership contributed to SNOO’s successful launch, which has since won several awards, including CES 2017 Best of Baby Tech & Safety and the 2017 BIG Innovation Award.
Mobile App, Web, and Firmware for a Smart Bassinet
The client invented a smart bassinet, which leverages embedded sound sensors to detect crying and automatically calm babies. The smart aspect was driven by a mobile app, a web back end and a piece of firmware. The client was looking for a full-stack development company that could help implement the IoT solution.
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When I came across Softeq I was immediately impressed with their professionalism and their customer list. My sense from Softeq’s genuine level of interest and enthusiasm for the project is that they really got it. They leaned in a big way to understand the marketplace, the competitive landscape, the specific requirements of what would differentiate my product from others. It’s been a very collaborative process.
Smart Dog Collar: Precise Pet Activity Monitoring and Safety Control
The smart collar is a multi-sensor wearable device that leverages advanced technology to monitor dog's location, fitness activity and behavior, and helps prevent car accidents and stray.
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The solution is an FPGA-based LED-enabled device providing assessment of suspect skin growth without a biopsy. The custom handheld gadget targets physicians and non-experts to help them determine whether a suspect skin lesion is cancerous.
Firmware for a Custom Skin Cancer Screening Device
Veriskin decided to build a novel device that uses Machine Learning algorithms for non-invasive skin cancer detection. They turned to Softeq to test the viability of their idea through proof of concept (PoC) and develop firmware components powering the device.
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A multimedia streaming solution that allows advertising agencies to broadcast content on digital signage installed in public venues via a custom LTE device. The system enables users to connect to the device remotely via a mobile app.
Media Streaming Solution for Digital Signage
A major US-based telecom company turned to Softeq to augment a multimedia streaming device with a back end, mobile apps, and custom Android firmware.
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