Orbina AI

Orbina AI operates as a marketing and customer engagement platform, leveraging artificial intelligence to automate and optimize customer interactions. The company was founded on December 26, 2022, by CEO Dilara Kaplan, CMO Halil Güneş, and CTO Mert Delibalta. The founding team's objective was to assist users in the content creation process. Orbina AI has seen notable achievements, including participation in programs like NVIDIA Inception, Microsoft Founders Hub, and Yapı Kredi's FRWRD, as well as winning several AI competitions. In June 2025, the company secured an investment from ENA Venture Capital to accelerate its growth and global expansion.

The firm's core business revolves around providing AI-driven solutions that transform customer communication and internal business processes. Orbina AI serves various sectors, with a particular focus on e-commerce, insurance, and manufacturing. Its business model includes both B2C and B2B offerings, with revenue generated through tiered monthly and annual subscription plans. These plans range from a free version for small businesses to advanced and enterprise packages for larger teams with more complex needs. For B2B clients, Orbina offers corporate packages and a specialized dashboard service that provides a customized panel with comprehensive data.

The platform's main product is an AI assistant designed to enhance customer support and strengthen sales. Key features include a no-code, easy-to-setup chatbot that can be trained on a company's own data, such as PDFs and URLs, to ensure responses align with business policies. The system automates responses to a significant portion of inquiries and includes a hybrid model for seamless escalation to live agents when needed. Orbina's platform consolidates all digital communication channels into a single screen and offers extensive integration capabilities with over 6,000 platforms, including Zapier, Make.com, Salesforce, and major e-commerce sites like Shopify and Amazon. Additional functionalities include advanced sentiment analysis to gauge customer emotions, an inbox for monitoring AI interactions, and API-driven personalized responses. The company reports that its solutions can increase operational efficiency by up to 30% and communication efficiency by 40%.

Keywords: AI customer support, chatbot automation, customer engagement platform, marketing automation, AI agent, conversational AI, e-commerce support, lead generation, sentiment analysis, no-code AI, business process automation, customer interaction management, sales automation, omnichannel communication, AI content generation, personalized marketing, hybrid chat, Dilara Kaplan, data-driven insights, customer service AI