RINF TECH

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Overview

580

employees

2006

founded

Royal Oak

United States

Rinf.tech is a technology company founded in 2006, headquartered in Bucharest, Romania, with offices and delivery centers across Europe, North America and India.

The company specializes in custom software development and R&D solutions, focusing on areas such as digital products and platforms, AI and embedded systems. Rinf.tech offers a comprehensive range of services, including: – Product Engineering addressing both low-level layers (firmware, drivers, etc.) and high-level stacks, – Technology Modernization with legacy application migration to the cloud, – Integrated Systems Automation building from bare metal up. With a team of over 600 tech professionals, rinf.tech has successfully delivered more than 1000 custom software projects to clients ranging from blue-chip to mid-cap companies. We inspire one another to share our tech-works in this amazing and abundant world. So we became developers, innovators, thinkers, software builders, hardware makers.

Contact details

Business info

Publicly traded: No
Majority shareholders: Management & Employees

Locations

Bucharest, Romania

Delivery Center

Founded2006

Employees250

Strada Gara Herăstrău 4, București 077190, Romania

Sofia, Bulgaria

Delivery Center

Founded2014

Employees50

bul. "Hristo Botev" 82, 1303 Sofia Center, Sofia, Bulgaria

Kyiv, Ukraine

Delivery Center

Founded2016

Employees72

Sportyvna Square, 1A, Kyiv, Ukraine, 01023

Timisoara, Romania

Delivery Center

Founded2018

Employees30

Timișoara 300254, Romania

Paris, France

Sales Office

Founded2020

Employees2

6-8 Rue du 4 Septembre, 92130 Issy-les-Moulineaux, France

Munich, Germany

Sales Office

Founded2015

Employees4

Mühlfelder Str. 14, 82211 Herrsching am Ammersee, Germany

Detroit Office, United States

Sales OfficeHeadquarters

Founded2021

Employees6

180 Georgetown Square S, Royal Oak, MI 48067, USA

Guadalajara Office, Mexico

Delivery Center

Founded2022

Employees12

Av. de las Américas 1254-Piso 10 Int. 1, Country Club, 44610 Guadalajara, Jal., Mexico

Cluj-Napoca Office, Romania

Delivery Center

Founded2022

Employees55

Strada Henri Barbusse 46, Cluj-Napoca 400616, Romania

Iasi, Romania

Delivery Center

Founded2024

Employees120

cladirea c1, United Business Center 3, Strada Palas 7D, Iași 700259, Romania

Service lines

Cloud25%

Artificial Intelligence (AI)20%

Embedded Software15%

Industries

Technology35%

Retail25%

Financial Services15%

Technologies

.NETAmazon Web Services (AWS)AppiumATLASSIANAzure Analysis ServicesBitbucketBootstrapCC++ConfluenceCucumberDockerGitHubZuul

Case studies

View all1 / 5

Device Benchmarking and Provisioning

The Ultimate Device Testing Robot MATT was designed with the reliability and robustness of an industrial robot, combined with the flexibility and compactness that would make the multitouch testing process easier and faster, in any scenario. With a custom end effector that emulates any multi-touch gesture, like tapping, pinching, swiping and rotating, two high resolution cameras etc..

Heathcare Device Validation by Robots

Integrate rinf.tech's robotic solutions with one of the test benches used locally to enable automated testing and validation for digital displays across automotive, consumer electronics, medical devices, and other domains and verticals.

Smartwatch platform

Highly successful product launch led to Google’s acquisition of Fitbit and significantly expanded partnership with Rinf Develop core features and system applications, built the core system apps (exercise, clock, maps, weather, etc) running on Fitbit’s real-time OS Rinf designed the underlying business logic, integrated with device sensors and developed the UI/UX

Indicative rates

Certifications⁶

ISO 9001

Quality Management Systems

Since 2022

ISO 27001

Information Security Management Systems

Since 2022

ISO 20000

Service Management Systems

Since 2022

ISO 22301

Business Continuity Management Systems

Since 2022

ISO 26262

Road vehicles — Functional safety

Since 2023

ISO 50001

Energy Management Systems

Since 2026

Leadership

Constantin Iftime

CEO

Victor Dornescu

Innovation Officer

Brice Harris

Regional Director

Carla Muñoz de Cote

Branch Manager

Johannes Mueller

Strategic Partnership Manager

Ioana Balasa

COO

Insights

View all1 / 2

The Power of AI in Workflow Automation

AI is moving workflow automation beyond rigid rules toward adaptive, self-learning systems. In this Insight, RINF.tech explains how AI-powered workflow automation is reshaping how technology organizations operate — from software development and IT operations to customer service and HR. The article outlines the shift from traditional RPA to intelligent AI workflows that can process unstructured data, learn from context, and support better decisions. It highlights concrete benefits such as productivity gains, cost reduction, and improved employee and customer experience, supported by real-world use cases. For technology leaders, this is a practical guide to where AI-driven automation delivers measurable impact today and how to start implementing it in a controlled, scalable way.

Cloud-Based ECU Development on Azure: Start AGL Work Earlier

Early embedded work is often blocked by scarce prototype hardware and lab access, slowing distributed automotive teams. This video shows a cloud setup for Automotive Grade Linux (AGL) development on Azure that lets engineers build, run, and debug software against virtualized targets before physical electronic control units (ECUs) exist. It outlines secure access (Bastion/VPN/ExpressRoute), cloud dev environments, CI/CD automation (Azure DevOps/GitHub), VM-based test execution, and peripheral/hardware emulation with GDB-style debugging for functional validation. Tech leaders should evaluate where cloud emulation can enable parallel work, reduce hardware bottlenecks, and improve traceability via identity, logging, and artifact governance.

AI Scale Depends on Data Orchestration, Not Models

Enterprise AI often stalls in production because data can’t be coordinated across fragmented clouds, SaaS, partner feeds, and legacy systems—not because models are weak. The article explains how fragmentation creates latency, inconsistent inputs, and unclear lineage that become risky once AI drives real workflows, especially under European regulatory and audit constraints. It recommends incremental data orchestration: map dependencies, prioritize key flows, automate quality checks, monitor pipeline health, and embed governance into the flow.

Events

No events data available.

Transparency Wins Ecosystem Context

This verified IT service provider profile was submitted by **RINF TECH** and vetted on Transparency Wins — the leading directory for IT service providers and tech partners. Explore verified profiles, compare hourly sourcing rates, or leverage our free, impartial Value Leap advisory service to receive custom, vetted shortlists of IT partners tailored specifically for your procurement goals.

RINF TECH

Overview

Locations

Service lines

Industries

Technologies

Case studies

Indicative rates

Certifications6

Leadership

Insights

Events

Social networks

Transparency Wins Ecosystem Context

Certifications⁶