Softeq helped a client redesign the architecture of a web image/media labeling solution and migrate it to the Сloud.
“Thank you for your efforts and work you put into making phase #1 happen! We really appreciate the effort of the whole team!”
Image/Video Labeling Web App for the Automotive Industry
The revamped solution enables labeling teams to access the system faster and process data more productively. The reworked architecture increases the solution’s scalability and effectively distributes resource utilization between the system’s components.Show Case Study
Softeq created a document-centric workflow management solution from scratch, capable of algorithmically processing multimedia data captured by drones during rig inspections.
"In terms of project management, Softeq is bulletproof. They respond to things quickly, and they don't cheat by doing the bare minimum work to achieve the specs. And they turn around resolutions extremely quickly."
Drone-based solution for Oil Rig Inspection
Sky-Futures wanted to max out the commercial application of drones. The company enhanced its offering with a first-on-the-market business process solution that automates major inspection workflows.Show Case Study
Softeq participated in the development of a Deep Learning-powered chatbot for one of the world’s top messengers. The chatbot maintains intelligent conversations on sports.
The bot collects request analytics and provides users with full information about trends in the community. 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 sports video game more efficiently.Show Case Study