Technology & R&D
Research is how we invest in the future.
For more than twenty years, Skywalker has used R&D to explore emerging technologies and turn technological opportunities into intellectual property and business value.
- Research
- Technology
- Intellectual Property
- Value
Research Areas
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Artificial Intelligence
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Enterprise Technology
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Data & Personalization
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Digital Platforms
Current R&D · LEDİS AI
Enterprise Content Intelligence
Our current LEDİS AI research focuses on making enterprise content understandable and accessible to AI — while keeping sensitive information within the organization’s own infrastructure.
The research covers on-premise LLMs, RAG architectures, semantic retrieval, enterprise vector knowledge bases, source grounding, hallucination control and dynamic knowledge management.
Two application layers are being explored: Content Copilot for content teams, and Technical Copilot for natural-language access to technical documentation, data models, architecture knowledge, error logs and resolved support knowledge.
R&D Journey
Selected Projects
9 projects · 2009 — 2026
2009Mobile Site DevelopmentDigital Platforms
An early mobile technology initiative focused on enabling organizations to run content-managed mobile sites and reach users through the fast-growing mobile ecosystem. The project explored how enterprise content management infrastructure could extend to mobile devices and support new forms of digital communication.
2009Location-Based Social NetworksLocation & Connected Experiences
An R&D project exploring location-aware social networks and the use of location data to create new forms of digital interaction. The work focused on letting users maintain social connections and follow activities through physical locations.
2010iPhone & iPad Application InfrastructureMobile Technology
A mobile infrastructure initiative aimed at letting enterprise teams manage iPhone and iPad sites and applications, integrated with their existing content management systems. The goal was to support new mobile marketing experiences while reducing operational complexity.
2011Android ApplicationsMobile Technology
An R&D initiative focused on Android application technologies and the software infrastructure to launch Android-based applications and campaigns faster.
2016Real-Time Marketing Content ManagementPersonalization & Behavioral Technology
An R&D initiative focused on delivering personalized digital content based on customer segments, interests and real-time behavior. Through behavior tracking, scoring models and CRM and marketing-platform integrations, the project explored how content and experience can adapt to each user dynamically.
2018LEVA StudioAI-Powered Interaction
LEVA Studio was developed to orchestrate AI-powered customer interactions by bringing together internal and external cognitive services. Exploring real-time interaction management, micro-segmentation and AI-driven personalization across channels, the platform laid a foundation for intelligent, adaptive customer experiences.
2021Smart Farmer AssistantAI & Smart Agriculture
An AI-powered smart agriculture initiative combining sensor data, meteorological information, multispectral image analysis and intelligent decision support. The project explored how AI and data-driven technologies can help farmers monitor field conditions, improve decisions and optimize agricultural operations.
2024AI-Powered Compliance & ForecastingPredictive AI & Process Intelligence
An R&D project combining AI with workflow automation for employee data and compliance processes. Alongside improving data-protection (KVKK) workflows, the project explored forecasting models to identify employee turnover trends and support more data-driven workforce planning.
2026LEDİS AIEnterprise Generative AI
LEDİS AI explores a new enterprise content intelligence architecture that brings together on-premise large language models, retrieval-augmented generation, vector knowledge bases and semantic retrieval. Designed for organizations whose sensitive information must stay within their own infrastructure, the research develops Content Copilot and Technical Copilot capabilities grounded in enterprise knowledge.