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AI-powered predictions of next-day high and low prices for U.S. stocks
| Date | Symbol | Predicted High | Predicted Low |
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ZOIA is a deep learning based AI system that predicts next-day high and low prices for U.S. stocks.
Using large scale historical market data, it applies time series modeling to generate forward looking price predictions.
It delivers decision grade outputs to support professional risk assessment, timing, and market positioning within client defined processes.
ZOIA does not execute trades, provide investment advice, or generate trading signals.
ZOIA provides predictive price outputs for institutional and professional market participants under confidentiality agreements.
Primary users include banks, broker-dealers, asset managers, funds, corporate treasuries, and quantitative research and trading teams.
(Founder & CEO)
Ali Tekin is the founder, CEO, and principal investor of ZOIA.AI. He combines a background in business informatics, project leadership, and asset management, with senior experience delivering complex programs in institutional environments.
His work emphasizes governance, execution discipline, and operational rigor across multi-stakeholder settings.
At ZOIA.AI, he defines the platform strategy and operating standards, delivering next-trading-day price predictions through trade-grade outputs and institutional-grade systems.
(Co-Founder, CIO)
Gür Bozbey serves as Chief Investment Officer at ZOIA.AI, overseeing the investment logic, performance framework, and institutional use cases of the platform’s predictive price outputs.
He brings extensive experience across asset management, proprietary trading, and family office environments, with prior roles spanning fund management and trading operations in both domestic and international institutions.
His background includes senior responsibilities in portfolio oversight, risk-aware decision frameworks, and performance evaluation.
At ZOIA.AI, he is responsible for aligning predictive outputs with institutional investment processes, ensuring analytical rigor, consistency, and real-world applicability.
(Co-Founder, CAIO)
Osman Burak Şentekin is Co-Founder and Chief AI Officer (CAIO) at ZOIA.AI. He leads the AI engineering and model-production workflow, ensuring ZOIA’s next-trading-day high and low price predictions are generated as trade-grade outputs with consistent operational standards.
He is a senior engineer with deep hands-on experience across software development and applied machine learning systems, with a focus on reliability, performance, and maintainability in production environments.
At ZOIA.AI, he is responsible for the end-to-end AI pipeline—model development, versioned releases, quality controls, and automation—supporting institutional use and scalable daily delivery.
(Co-Founder, CTO)
M. Tolga Şentekin is Co-Founder and Chief Technology Officer at ZOIA.AI. He is responsible for the platform’s core technology architecture, infrastructure strategy, and security standards supporting institutional-grade operations.
He brings extensive experience across enterprise systems, cloud platforms, and virtualization technologies, with a strong focus on reliability, access control, and operational resilience in regulated and high-availability environments.
At ZOIA.AI, Tolga leads the design and implementation of production infrastructure, identity and access management, and secure deployment frameworks, ensuring that the platform operates with the robustness, auditability, and control expected by institutional users.
(CMO)
Dünya Ulusoy Tekin serves as Chief Marketing Officer at ZOIA.AI, overseeing brand positioning, communication strategy, and external messaging across institutional and professional audiences.
She brings international experience in brand management, leadership, and client-facing operations, with a background spanning hospitality, sports and wellness, and multi-market organizational roles.
At ZOIA.AI, she is responsible for ensuring that the company’s messaging, visual identity, and market presence remain consistent with its institutional positioning, technical credibility, and long-term strategic direction.