Top-notch custom AI-powered embedded and IoT solutions for retail, manufacturing, Industry 4.0/5.0, supply chain and logistics, transportation, and beyond.
Our R&D teams have mastered cutting-edge technologies at the intersection of Embedded, IoT, AI, Cloud development, Digital Twin, and Simulators. We are committed to developing projects across the entire software development lifecycle – from AI-driven ideation and architecture, to production-ready product implementation.
Collaboration between rinf.tech’s business units create a shared knowledge base enabling complex AI-integrated embedded and IoT systems. This multidisciplinary expertise spans multiple tech stacks, methodologies, and AI frameworks – driving innovative, autonomous edge solutions that add business value.
Discovery & analysis
Ideation & Problem-solving sessions
Requirement gathering
PoT, PoC, Demo
Targeted workshops/working sessions
Solution architecture & design
Implementation roadmaps & project planning
Enablement & Skills transfer
Project incubation
Team extension
Managed teams
Product/Solution development outsourcing
Project rescue
Code review on demand
Delivery management on demand
Application management
Infrastructure management
Support & maintenance
Risk & compliance assurance
Cost optimization
Security assurance
DevOps/MLOps
Bare metal embedded development & testing
Linux embedded development & testing
RTOS
MCUs SDK development
Driver development
Sensor integration (e.g. temperature, humidity, acceleration, GPS)
Integration with IoT hubs (Microsoft Azure & Amazon AWS)
Test automation frameworks
Technology Stack
C, C++, Python, Java, SWIG, MQTT, AMQP, SigFox, NB-IoT
Development of HMIs for HW monitoring & control
Development of APIs/DLLs for HW integration into production lines
Development of software stacks for communications protocols (e.g. CAN, CANOpen, J1939)
Integrations with HW, PLC, embedded devices
Technology stack
C++, .NET, WPF, UWP, python, ModBus, Angular, Akka, OPC/UA, MQTT
Contributions to OpenCV & Intel OpenVINO toolkit
C/C++ implementations of ML algorithms based on official papers
AR/VR based on Hololens
ARKit, ARCore
Digital twin industrial applications
Technology stack
Python, C/C++, TensorFLow, Caffe, MxNet, Intel tools. Unity, Vuforia, ARCore, ARKit
Development/customizations of private/hybrid clouds platforms
Development of cloud frameworks for workload performance measurements
Integrations with public clouds: Google, AWS, Azure
Infrastructure optimizations based on dedicated HW (e.g. Intel Optane, Intel RDT)
Technology stack
Python, GoLang, KVM, QEMU, Kubernetes, Fission, KVM, Docker, Firecracker, ELK stack, sysmon, emon, sar, Intel Optane, Intel RDT
Let’s talk.
