Our work - Structured solutions for operational complexity.

The longevity and preventive health space suffers from a structural problem: fragmented data, disconnected providers, and a patient journey shaped by delay, manual coordination, and inconsistent follow-through. Sparta Longevity OS was conceived as a platform-level response to this fragmentation.

yilven contributed to the platform architecture and investment narrative, designing a system that connects data intake, AI-supported interpretation, operational coordination, treatment planning, and continuous follow-up within one unified digital environment.

Yildirim Bilgi Merkezi needed more than a website. They needed an integrated digital platform that could manage the full scope of their education operations: student enrollment, teacher assignments, branch coordination, and measurement and evaluation — all within a structured, role-based system.

yilven designed and built an operational platform that unifies institutional presence with internal management capabilities, digitizing workflows that were previously manual and giving teams clear visibility across the organization.

Haydiderse.com needed foundational infrastructure work to bring their platform to a production-ready state. The project scope included system setup, database and service integration, and containerization for consistent, repeatable deployment.

yilven delivered the technical infrastructure layer — connecting systems, configuring environments, and packaging the project for deployment — enabling the team to operate and iterate on a stable, well-structured foundation.

Flio.ai was developed around a broader ambition than route optimization alone. The product thesis centers on creating a digital operating layer for logistics teams working across fragmented planning, dispatch, fleet, and delivery processes — transforming reactive operations into structured, intelligent execution.

The platform brings together advanced optimization logic, operational decision support, and modern software architecture. Core capabilities include AI-powered route optimization, fleet and driver management, autonomous dispatch, digital twin simulation, and end-to-end operational visibility.

Aicoor needed a technically capable partner to build the backend systems for Transleyt, a product combining AI-powered translation, OCR, and media processing. The challenge was designing infrastructure that could support complex processing pipelines while remaining maintainable and scalable.

yilven developed the backend architecture using Python, PostgreSQL, and Docker — building the processing pipelines, API layer, and data management systems that form the technical backbone of the application.

E-Bebek needed to optimize delivery operations across a complex, mixed-fleet routing environment with tight time windows and operational constraints. Existing planning was manual and inconsistent, leading to higher costs and longer routes than necessary.

yilven designed and built a decision support system centered on a Gurobi-based MILP optimization model, supported by a Genetic Algorithm heuristic in Python. The system delivered measurable improvements: 15-25% cost reduction and 11-22% distance reduction across tested scenarios.

Hiperkitap needed a faster, more relevant search experience for its catalog and a modern mobile presence across both Android and iOS. The existing search was underperforming, and mobile capabilities were limited.

yilven rebuilt the search engine using Elasticsearch for improved relevance and performance, and established the foundations of a cross-platform mobile application using Flutter — creating a scalable base for continued product development.