From an office in Istanbul, a team of fifteen is trying to convince some of Turkey’s largest financial institutions that their customer service can run on a single AI brain. Orbina AI, founded in 2022, sells an orchestration platform that promises to unify chat, email, and social media into one automated system. For CX teams at companies like Allianz and DenizBank, the pitch is straightforward: let the machine handle the routine, free the humans for the complex [LinkedIn].
The company’s own materials claim it can automatically answer 70% of inquiries, a number that climbs with use, and transform service chats into proactive sales channels [Orbina.ai, 2025]. It is a familiar promise in the global market for AI customer service, but Orbina’s early foothold in a region with its own distinct regulatory and linguistic landscape gives it a specific wedge. Their bet is that being built locally, for local enterprises, matters more than having the most famous brand name.
The wedge of workflow execution
Orbina’s differentiation appears less about inventing a new large language model and more about wiring AI into the specific, often messy, workflows of customer operations. The platform emphasizes integrations and the ability to execute actions,processing a return, updating a policy, scheduling a call,rather than just holding a conversation. This is the practical end of enterprise AI, where the metric is not just chat satisfaction scores but the deflection of costly, repetitive human labor. The platform targets two verticals initially: ecommerce for orders and returns, and insurance for digital customer journeys [Orbina.ai].
A consortium of local capital
Without a disclosed funding amount, the shape of Orbina’s backing is still telling. The investor list is a roll call of Turkish financial and venture entities: ENA Venture Capital, Startupfon, Yapı Kredi FRWRD, HackZone Scale Up, and TEB Girisim Evi [Crunchbase]. This suggests a seed round anchored by regional players who understand the local enterprise sales cycle. For a business selling to banks and insurers, having investors with deep networks in those industries is often as valuable as the capital itself.
The founding trio,CEO Dilara Kaplan, CTO Mert Delibalta, and CMO Halil Güneş,have built a team to fifteen people (estimated) [RocketReach]. While their prior backgrounds aren’t detailed in public records, the company’s traction with initial customers implies a focus on execution over pedigree.
| Founder | Role | Source |
|---|---|---|
| Dilara Kaplan | Co-Founder & CEO | [Crunchbase] |
| Mert Delibalta | Co-Founder & CTO | [CBInsights] |
| Halil Güneş | Co-Founder & CMO | [Webrazzi, 2023] |
The scale-up equation
The path from a few flagship customers to a sustainable, growing business is where the real test lies. Orbina operates in a space crowded with well-funded global players and specialized regional competitors like Kore.ai. The risks are not subtle.
- The automation ceiling. Claiming to handle 70% of inquiries is a strong start, but the final 30% are often the most complex, expensive, and brand-sensitive. The unit economics of AI support only work if the cost of handling edge cases doesn’t erase the savings from the automated bulk.
- The expansion motion. Success in Turkish insurance is one thing. The playbook, integrations, and regulatory knowledge needed to win in, say, German insurance or UAE ecommerce are different. Growth may require reinventing the wheel for each new geography.
- The model dependency. As an orchestrator, Orbina’s performance is tied to the underlying AI models it uses. Shifts in pricing or capability from providers like OpenAI or Anthropic could directly squeeze margins or degrade the customer experience.
A back-of-the-envelope calculation illustrates the operational bet. If a mid-sized bank’s contact center fields 20,000 customer inquiries a month at a fully loaded cost of $10 per human-handled interaction, automating 70% represents a potential monthly saving of $140,000. That’s the compelling math Orbina must prove is real and repeatable across its portfolio.
Ultimately, Orbina’s test is not against the concept of AI customer service, but against the incumbent it must beat: the sprawling, fragmented, and deeply entrenched patchwork of legacy CRM systems, basic chatbots, and human-operated call centers that still define enterprise CX. Its early customers suggest it has found a local seam. The next twelve months will show if it can mine it.
Sources
- [Orbina.ai, 2025] Enterprise AI Platform for Customer Experience & Operations | https://www.orbina.ai/
- [LinkedIn] Professional profiles indicating customer relationships | https://www.linkedin.com/in/dilara-kaplan-7447591a4/
- [Crunchbase] Orbina company profile and investor list | https://www.crunchbase.com/organization/orbina
- [CBInsights] Orbina AI people profile | https://www.cbinsights.com/company/orbina-ai/people
- [Webrazzi, 2023] Article on Orbina | https://webrazzi.com/2023/08/15/icerik-uretimine-odaklanan-yerli-yapay-zeka-araci-orbina/
- [RocketReach] Orbina AI management team overview | https://rocketreach.co/orbina-ai-management_b75dc8fdc53e2297