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.Show Case Study
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.
Desktop App for a Photo Scanner
Epson wanted to augment its next-gen photo scanning solution with powerful desktop software.Show Case Study
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.
Mobile App for Scheduling In-home Doctor Visits
The client was inspired by the idea of providing remote medical services. Intended for non-emergency cases, the solution has Uber-like business logic.Show Case Study
Softeq participated in the development of a Deep Learning-powered chatbot for one of the world’s top messengers. The chatbot is capable of maintaining conversations on sports.
The bot collects request analytics and provides users with the full information about the game community’s trends. It lets users check scores and schedules, get advanced game statistics, receive injury notifications, and compare players’ latest performances and ratings.
Deep Learning-powered Chatbot for Major Messenger
The client planned to develop a Deep Learning-powered chatbot that would help users play a sport video game more efficiently.Show Case Study