• Major Clients: Renault, P&G, Knauf, Samsung, Bayer
  • Year Founded: 2006
  • Fulltime Employees: 120
  • Active Clients: 20+
  • Client Retention Rate:
Core Service Enterprise Web Development

We build the entire app ecosystem for your IoT solution – mobile, web, wearables & low-level software – providing professional assistance across the full-cycle of custom software development. R-Style Lab acts as a single-point-of-contact service provider for businesses that operate in the reality of data-driven and connected economy.

What We Offer:

Mobile: native mobile apps for iOS & Android devices as well as integration with the entire ecosystem behind them (from HealthKit and HomeKit to Android Auto and Android Things). We create custom mobile tools for data visualization, remote control of connected home devices and other smart electronics, as well as a variety of consumer apps from appointment booking and event management to interactive social apps.

Web: ecommerce, digital publishing solutions and brand management tools, media content platforms, web dashboards and reporting solutions. We’ll help companies build data management tools, front-end solutions for back-office operation, back-end systems based on SaaS model and micro services architecture, IoT infrastructure services.

Wearables: apps for smart gadgets, app-device communication enablement, data capturing and processing. We’ll solve the problems of smooth device-to-device data exchange and provide intuitive UI for the end consumers of your tech products.

Low-level Software: embedded software for smart devices and electronics, networking, M2M communication, smart connectivity, device-to-app data exchange, OTA firmware updates. We build solutions that improve efficiency and operation of low-level data exchange and processing (C/C++, LUA).

Solution Expertise:

Data Collection, Data Processing, Data Visualization: capturing data from sensors, devices, beacons, RFID tags and other data loggers, categorizing and storing it, and then efficiently retrieving for reporting and analytics purposes, including integration with cloud analytics, its configuration and customization.

Image Pattern Recognition: face recognition and image processing for photo apps and smart home solutions, object tracking and recognition for drone-based inspections and area mapping, GPU-accelerate processing (OpenGL, OpenCV, OpenCL libraries)

Machine Learning & Neural Networks – sentiment analysis, NLP for social media solutions and customer service chatbots (Python).

Home Automation: AI-based behavior analysis, voice assistance enablement, predictive home device performance optimization, smart notification systems, camera-based security solutions

Industrial Automation: indoor positioning, fleet management systems, predictive analytics, asset tracking and management, automated inspections, control dashboards for remote equipment control, web reporting tools

Connectivity: Bluetooth, IR, RFID, NFC, ZigBee, Wi-Fi

Founded in San Francisco, CA, in 2006, R-Style Lab has now grown its global footprint to operate in Europe. The company’s business office is located in the United States, while delivery facilities are based in Minsk, Belarus.

Case Studies
  • Glamozis- app for women who consider getting a plastic surgery Our customer – a well-known plastic surgeon – wanted to create a neural network-based face morphing app enabling users to see what they would look like after a plastic surgery and edit social media photos. The solution is targeted at selfie girls and women who consider getting a plastic surgery Download
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