Dyna.Ai Pitches 'Result as a Service' Model
At MWC Barcelona 2026, Dyna.Ai introduced a "Result as a Service" business model aimed at addressing the AI return-on-investment gap for enterprises. The company's offering focuses on AI accountability and delivering measurable outcomes.
- The "Result as a Service" (RaaS) model is a pay-for-performance framework where Dyna.Ai's compensation is directly tied to the business results generated for clients like banks, insurance companies, and fintechs. This approach is designed to counter "pilot fatigue," where companies invest in AI trials that don't translate into revenue. - Dyna.Ai was founded in 2024 in Singapore by Tomas Skoumal and is currently unfunded. The company's leadership team includes professionals with experience from institutions like Standard Chartered Bank, Citibank, and JP Morgan Chase. - The company's core offerings include "Agentic Applications," which are autonomous AI systems designed to manage complex workflows. Specific products include Dyna Athena for language and speech processing and Dyna Avatar for digital human interactions. - The challenge of achieving a clear return on investment is a major hurdle in enterprise AI adoption, with most organizations reporting that it takes two to four years to see a return, far longer than the typical 7-12 months for other technology investments. Common reasons for this delay include the intangible nature of many AI benefits, siloed data, and rapid technology evolution. - In the European public sector, AI adoption is seen as a key to improving service delivery and efficiency, with the European Commission promoting an "Apply AI Strategy". However, a significant gap remains, as only 38% of public sector AI use cases in the EU have reached the implementation phase. - GovTech initiatives across Europe are increasingly using AI for citizen-facing services, such as chatbots for municipal inquiries in Denmark. This aligns with a broader trend where 84% of government decision-makers anticipate a rapid acceleration in public sector AI adoption. - Singapore's GovTech agency serves as a prominent case study, using AI for services like the "One Service Chatbot" which handles 30,000 municipal issue reports per month, and developing platforms like MAESTRO to scale AI adoption across government agencies. - Dyna.Ai is expanding globally, with operations across Asia, the Middle East, Africa, Europe, and America. A recent partnership with PalmPay in Nigeria aims to enhance the digital finance provider's operational efficiency and backend processes using AI.