With access to the most advanced AI models through Microsoft Azure OpenAI Service, Unique’s customers can now generate highly personalized reports based on their conversations. The report feature enables users to prompt GPT-3 and perform various tasks, including summarization, content creation, topic modelling, entity recognition, information recognition, etc. Users can use reports to generate high-level overviews before the next client meetings, executive summaries, follow-up emails, descriptions, and announcements. Furthermore, Unique is automating the customer relationship management (CRM) system to allow advisors to focus on serving clients instead of administrative tasks. This solution will boost productivity and efficiency for financial services professionals.
One of the first customers to benefit from the features is the global private bank LGT. “Together with Unique’s ChatGPT-powered solution, we evaluate promising use cases to reduce administrative work and consequently enable relationship managers to spend more time with their clients. These use cases include automation of CRM entries, support information gathering, writing meeting summaries and much more,” said Simon Gomez, Head of Innovation Management at LGT Private Banking.
Seed round extended to $16 million
The startup has also secured USD $4 million in additional seed funding, bringing the total to USD $16 million. “We are thrilled to be working with Microsoft and to be able to integrate Microsoft Azure OpenAI Service for our clients in the finance and insurance industries,” said Manuel Grenacher, CEO of Unique AG. “This additional funding will allow us to continue to expand our services to even more clients.”
Founded in 2021 by Swiss entrepreneurs Manuel Grenacher (CEO) and Andreas Hauri (CTO), Unique is a Zurich-based venture-backed B2B SaaS platform that records client conversations and leverages state-of-the-art AI language models like OpenAI’s GPT-3 to generate custom call reports. Unique aims to deliver data-driven insights and assistance to client-facing teams, adding to their decision-making and helping them to gain more time for more clients.
(Press release/RAN)