The people behind 56th.AI.

Dr. Eleonora Orloff is Co-Founder and Chief Executive Officer of 56th.AI, where she leads strategic vision, business development, and partnerships. A healthcare executive, entrepreneur, angel investor, and business strategist, she brings more than 25 years of experience building organizations and leading operational transformation.

She is the Founding and Managing Partner at Bronx Eye Associates, a large comprehensive eye care practice in New York City. Her work includes scaling clinical operations, leading multidisciplinary teams, improving organizational performance, and introducing new approaches to service delivery.

She holds an executive business education credential from Harvard Business School and a Master of Science in Clinical Service Operations from Harvard Medical School, where her work focused on operational efficiency, strategic growth, and healthcare transformation, with particular emphasis on AI, biotechnology, and their integration into medical care.

An active angel investor and member of Harvard Business School Alumni Angels of New York, she participates in evaluating early-stage companies, conducting due diligence, and supporting entrepreneurial growth.

Her approach to leadership centers on bringing human expertise and artificial intelligence together. At 56th.AI, she focuses on products that combine advanced engineering with industry knowledge to strengthen decision-making and help organizations turn complex challenges into scalable solutions. Her guiding principle is simple: Systems evolve. Humans govern.

Alexander Borzenko is Co-Founder and Chief Technology Officer of 56th.AI, where he leads technology strategy and architectural direction. He brings three decades of experience building complex software systems.

As Founder and Chief Architect of SoftAtBest, Alexander has guided trading platforms, real-time market data systems, and financial infrastructure from initial architecture through years of production use. That experience shapes his approach to innovation: ambitious ideas must ultimately withstand the demands of correctness, performance, and accountability.

His leadership draws on the disciplines of scientific inquiry: making assumptions explicit, examining competing explanations, and revising conclusions in response to evidence. He brings engineering and financial domain expertise together to frame research questions, encourages critical debate, and connects promising ideas with practical evaluation.

Alexander formulated the three theses that guide 56th.AI’s research and product direction: AI will transform the foundations of computing, reshape business administration, and require humanity to adapt to artificial general intelligence.

His research interests extend from reconsidering programming languages and software abstractions to exploring how people and AI share strategy, coordination, and organizational responsibility. They also encompass reciprocal learning—humans training AI, AI teaching humans, and AI improving other AI systems—and the implications for human capability and governance.

Andrii Bidochko is an AI researcher, engineer, and entrepreneur. He has founded and co-founded technology businesses and built software across business automation, trading systems, and games. His engineering experience spans real-time data, execution systems, and integrating AI into operational workflows.

He holds a PhD in Artificial Intelligence from Lviv Polytechnic National University, where he studied autonomous multi-agent systems and adaptive behavior in dynamic environments. He also holds a master’s degree in Innovation and Entrepreneurship from Lviv Business School of the Ukrainian Catholic University.

His research focuses on how autonomous agents can reliably complete complex tasks over long execution horizons. It examines sustained reasoning, planning, coordination through decentralized architectures, and efficient information exchange between agents.

A co-founder of BenchGen, Andrii helped shape its approach to digital twins and simulation-based evaluation of AI agents. This work extended to government and defence, including air-gapped AI evaluation within a national defence organization in a NATO member country, where reproducibility, auditability, and control over sensitive data are essential.

At 56th.AI, he serves as Chief AI Officer, bringing this combination of research, entrepreneurship, and engineering to the development of dependable AI systems. His approach centers on evaluating agents against the demands of real work and using the resulting evidence to guide their improvement.