ai
The Hard Part of AI Starts After the Demo Works
The Hard Part of AI Starts After the Demo Works Enterprise investment in artificial intelligence continues to accelerate. Recent McKinsey surveys show that more than
February 3, 2026
The Manifest honors excellent relationships between customers and service providers with the Most Reviewed Company Award.
The top 15 companies from each category received the most referrals and favorable reviews over the previous year.
rinf.tech is featured in the list of the most recommended software houses in Romania.
“A house cannot be built alone, you need a skilled team and a strong foundation. The same goes with business, you need a dedicated partner and an extraordinary foundation of trust. These leaders earned their clients’ respect, appreciation, and support. They deserve to celebrate their win!”
This industry recognition marks another important milestone achieved in our company evolution and growth.
Over the past two years, we’ve doubled our headcount across all locations we deliver from including Romania, Ukraine, Bulgaria, Mexico, Poland, and Turkey. On top of that, we gained indispensable firsthand experience and tribal knowledge around automotive software development (ADAS, Autosar, AGL, Cybersecurity, HIL Testing), enterprise applications (AI, ML, data science, Cloud), and R&D for Embedded and IoT development (digital twin development, Mixed Reality, deep learning, hardware integrations, etc).
Going forward, we’ll keep focusing on expanding our projects portfolio and taking the extra mile to delight our customers and help them grow while achieving sustainability, scalability, and agility.
The Hard Part of AI Starts After the Demo Works Enterprise investment in artificial intelligence continues to accelerate. Recent McKinsey surveys show that more than
The Biggest Data Privacy Risk in 2026 Comes From Helpful Employees As AI becomes a daily productivity tool, data privacy risk is increasingly created inside
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.