About

The company targets a relevant gap in modern agriculture, where producers struggle to combine data-driven optimization with regulatory traceability. This is particularly critical in high-value and regulated crops, where compliance and consistency directly affect profitability and market access. The problem is clear and aligned with strong market trends in precision agriculture and regulated production. The proposed platform integrates AI-driven optimization with end-to-end traceability, creating a unified system that goes beyond monitoring to active decision support. The closed-loop approach, where data improves both compliance and production outcomes, is a meaningful differentiator. The SaaS model with optional hardware supports scalability and recurring revenue potential across multiple markets and crop types. However, the company is still at a conceptual stage, with limited traction beyond an initial partnership. Execution risk remains high, particularly in demonstrating measurable ROI, integrating hardware reliably, and driving adoption among traditionally conservative growers. Competition includes established precision agriculture platforms that could extend into compliance features. Overall, the concept is well-positioned within a growing market, with strong potential if validated through pilots and translated into clear economic value for customers.

Solution & Product

We develop an AI-powered precision agriculture platform that integrates real-time sensor data, computer vision, and machine learning to optimize plant growth conditions and ensure full traceability. The system collects environmental and operational data, analyzes it using predictive models, and provides actionable recommendations to improve yield, quality, and resource efficiency. Our product combines cultivation management with end-to-end traceability aligned with Good Manufacturing Practice and Good Agricultural and Collection Practice, enabling producers to monitor every stage from input to harvest. Delivered as a scalable SaaS platform with optional hardware integration, it supports both indoor and greenhouse operations.

Innovation & Scalability

Our platform has significant growth potential because it addresses a global need for data-driven optimization and full traceability in high-value and regulated crop production. As more regions legalize regulated crops and adopt precision agriculture, demand for integrated AI and compliance solutions will expand rapidly. The SaaS model allows easy geographic scalability without heavy infrastructure costs, while our modular hardware integration can be deployed in facilities of any size, from small greenhouses to industrial-scale operations. Over time, the platform can serve multiple crop types, creating additional revenue streams and international expansion opportunities. Potential barriers include regulatory complexity in different countries, the need for high-quality sensor and data infrastructure, and market adoption by traditional growers who may be resistant to new technology. Building trust with growers and demonstrating ROI through pilot deployments will be critical to overcoming these challenges.

Traction & achievements

Our idea is fully defined, and we have secured a strategic partnership with a GMP-compliant cannabis cultivation facility to co-develop and test the platform. This collaboration will allow us to integrate our AI and traceability system directly into a real-world production environment once development begins. Key milestones so far: Conceptualization of the AI-driven cultivation optimization and traceability platform Definition of the technical architecture and features of the system Secured a partnership agreement with a licensed cannabis facility for future testing and validation These initial steps set the foundation for development, pilot deployment, and eventual commercialization.

Team & Why Us

Çağrı Kaan Altıntaş Software Developer / AI Systems Çağrı Kaan Altıntaş is a software developer specializing in AI-driven systems and real-time architectures. He studied Game Design & Artificial Intelligence at Conestoga College and has advanced training in C++. His work focuses on building scalable, high-performance systems that combine software, data, and automation. At PYNX Engineering, he develops AI-powered solutions integrating computer vision, sensors, and cloud infrastructure. He is driven by creating efficient, data-driven platforms that modernize traditional industries. ---- Gürkan Altıntaş Operations & Management Gürkan Altıntaş holds a B.A. in Economics from University of Istanbul He is an experienced operations and management professional specializing in strategic planning and process optimization. With a strong background in organizational leadership, he focuses on building efficient and scalable business structures. At PYNX Engineering, he leads operational strategy and

Funding Needs

2,000,000 Euro to implement the full scale project in a medical cannabis facility.