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Often, in hotel lobbies, guests approach the reception desk with frustration after a delayed flight. Instead of waiting in line, they speak directly to an AI receptionist who responds naturally, resolving their concerns in seconds.
Behind this interaction is the technical work of Tigran Bayburtsyan, an Armenian-born software engineer and entrepreneur whose solution tackles customer service’s biggest hurdle: the 300-millisecond threshold that creates natural conversation.
The problem-solver’s path
Tigran Bayburtsyan earned a Bachelor’s degree in applied mathematics from Yerevan State University. In 2012, he started as a backend engineer, showing his proficiency in building working solutions and improving them. This approach helped him create TestedBrain in 2014, an online skill-testing platform for banks that he sold to a job website after just one year with four major clients.
His business journey continued with TreeScale in 2015, which began as a cloud computing tool and grew into an AI application development platform. During this time, he also launched Gazar.am, Armenia’s first fruit and vegetable delivery service, which changed local shopping habits before he sold it in 2019. These successes show his eye for spotting market holes and building technical answers to real business needs.
Speed matters in AI talk
Tigran Bayburtsyan now focuses on creating AI receptionists for hotels and medical centers through his partnership with BluIP.com, which was initially focused on building a Blockchain-based Cloud Infrastructure for NFT Trading companies. It later switched to helping businesses optimize their cloud environments and transition to AI-powered solutions under Tigran’s leadership. His breakthrough comes from fixing what he calls “a hard technical problem,” making AI answer users in less than 300 milliseconds to keep conversations natural.
By 2025, about 80 percent of customer service groups will use AI to boost agent output and customer satisfaction. Bayburtsyan’s method addresses the main challenge in this change: balancing machines with human touch. His AI tools handle basic tasks while letting staff deal with complex issues that require empathy and understanding, matching research showing that 77 percent of customers still want quick access to human help when needed.
Small pieces make big results
Throughout his career, Tigran Bayburtsyan has fine-tuned a special way to build software. Using a microservice approach, he stresses good design, breaking products into small, stand-alone parts. This plan allows fast development without risking stability, letting his teams add new features without breaking existing ones.
This method proved successful when he helped PicsArt.com cut its image processing costs by 70 percent in 2015. It also allowed Hexometer.com to check over 100,000 websites monthly with minimal cloud computing costs through a highly efficient networking tool. In 2022, he applied similar ideas to build “the most effective Blockchain analytics platform on the market” for NFT trading platforms, fixing complex data processing challenges through careful coding and database restructuring.
Tomorrow’s customer help today
Tigran Bayburtsyan sees both challenges and opportunities in AI-powered personalization. His work with BluIP.com aims to refine how customers talk with hotels and medical centers, boosting income while providing better experiences than current “robotic flows.” The industry trajectory backs this notion, with AI-powered personalization expected to help businesses predict customer needs by 2025.
Tigran Bayburtsyan’s balanced approach shows technical skills for how AI can work alongside people in customer service. As businesses prepare for the customer service world of 2025, experts like Tigran Bayburtsyan must fix real problems, prioritize user experience, and always keep the human element.
