Softeq is on the mass production stage of full-cycle development of the innovative smart collar. The team executed extensive R&D and analysis to ensure the IoT product is a success.
"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
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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Softeq helped the client create a photo scanning red-eye removal solution, which automatically recognizes faces in a photograph, detects pupils, and applies corrections.
Our team implemented a desktop app that enables fast analogue photo processing and more convenient image management in line with the latest UX trends. The software performs on-the-go algorithm-based red eye reduction and does automatic/manual image enhancement along with color restoration. The desktop app automatically installs on a PC once the scanner is connected to the computer.
Desktop App for a Photo Scanner
Epson wanted to augment its next-gen photo scanning solution with powerful desktop software.
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Softeq helped the client create a convenient car dealership platform and integrate it with a number of 3rd-party services on the back-end level.
The vehicle selection tool enables buyers and car selling businesses to close mutually beneficial deals. The solution facilitates the car selection process for buyers, while eliminating the stress associated with negotiating deals and handling the necessary paperwork. The app provides an end-to-end purchasing experience — from car selection to finalizing the purchase order.
Cross-Platform Car Buying App with a CRM-like Back End
Softeq built a Xamarin Android / iOS app for a client engaged in the vehicle dealership domain that enables car dealers and buyers to close deals.
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The app serves as a remote control and baby condition monitor for parents. The back end provides constant and stable interaction between all the elements of the solution architecture.
"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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Softeq developed an Uber-like solution from scratch for patients and healthcare providers, which lets users request non-emergency medical and nursing services.
OBUR Health provides 24/7 doctor house calls via an Uber-like mobile application. Using the app, a patient requiring non-emergency medical and nursing care services can schedule a visit from a certified healthcare provider within a designated area. The solution successfully passed acceptance testing and is now available on the App Store.
Xamarin iOS App for Scheduling In-home Doctor Visits
Inspired by the idea of providing remote medical services, the client needed an Uber-like business logic for their non-emergency health care solution.
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