Everyone Wants AI, but Data Orchestration Comes First Enterprise AI conversations often start in the wrong place. They focus on models, talent, or investment levels, as if the remaining challenge were technical sophistication. In practice, many organizations already operate capable AI systems, supported by modern infrastructure and serious budgets. What
Legacy database models can no longer keep up with fintech’s real-time demands. A Log-First Architecture redefines data management — turning transactions into a living, auditable history that fuels agility, transparency, and innovation across financial systems.
This article examines how rinf.tech’s 8-year partnership with Intel has advanced open-source innovation by addressing real-world challenges in cloud, IoT, and AI ecosystems. It highlights joint contributions to improve workload performance, enhance IoT sensor integrations, and optimize computer vision using OpenCV and OpenVINO. Read more into how these contributions deliver measurable value to the global developer community and accelerate enterprise adoption of scalable, reliable technologies.
Everyone Wants AI, but Data Orchestration Comes First Enterprise AI conversations often start in the wrong place. They focus on models, talent, or investment levels, as if the remaining challenge were technical sophistication. In practice, many organizations already operate capable AI systems, supported by modern infrastructure and serious budgets. What
This article explains the technical realities of building AI-ready wearable devices by orchestrating three constraints – power, latency, and trust – through edge/on-device AI, disciplined power budgeting, and secure-by-design updates. It clarifies why many wearables PoCs stall and offers an in-depth investigation into challenges hindering product advancement, finally scanning predictions and emerging trends in the wearables market.
Securing the AIoT Ecosystem explores how cutting‑edge semiconductors bring edge AI, energy efficiency, and hardware‑rooted security to large‑scale device management.
We are proud to announce that rinf.tech has officially joined the Connected Vehicle Systems Alliance (COVESA). This milestone reinforces our commitment to open standards, cross-industry collaboration, and advancing software-defined vehicle technologies within the global automotive ecosystem.
Carmen Kolcsár, CTO at rinf.tech, has been named one of Business Magazin’s Top 100 Most Powerful Women in Business for 2025. Discover her vision, values, and leadership journey in this exclusive interview-style feature.
This article explores how automation can help reduce energy consumption and waste. With the right approach, organizations can make meaningful progress toward sustainable efficiency.
In this article, we’ll explore the current Ops landscape, why unifying these disciplines through XOps is so powerful, how to implement XOps successfully, and how it can unlock new levels of enterprise agility.
Romania Employers’ Association of the Software and Services Industry shortlisted our Vertical Lift Module software project for Kardex for the IT Industry Excellence Awards 2024.
Voice recognition technology is revolutionizing industries, from automotive and retail to fintech and healthcare, by enhancing user experience and operational efficiency. However, as these systems become more integrated into our daily lives, robust security measures are essential to protect sensitive voice data from emerging threats like spoofing and unauthorized access.
Embedded World 2025, held in Nuremberg between March 11 and 13, has once again proven to be a pivotal event for innovators, developers, and thought leaders in the embedded systems and software engineering space.
We are excited to announce the launch of our new office in India, a key milestone in our ongoing journey to extend our global reach.
Join rinf.tech at Embedded World 2025 to explore a new era in embedded innovation. At Booth 5-381 in Hall 5, discover our advanced LiDAR-Based Workplace Safety Solution—a system designed to enhance safety through dynamic, software-defined zones, real-time alerts, and intelligent operational insights. Learn how this versatile solution can be applied to diverse environments, from construction sites to production floors, ensuring a proactive approach to hazard detection and operational efficiency.